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Department of Biomedical Engineering, NTU

CHUNG-MING CHEN

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CHUNG-MING CHEN

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  1. Journal Papers

    1. Lin MW, Chen LW, Yang SM, Hsieh MS, Ou DX, Lee YH, Chen JS, Chang YC, Chen CM*. CT-based Deep Learning Model for Spread Through Air Spaces Prediction in Ground-Glass Predominant Lung Adenocarcinoma. Annals of surgical oncology 2023, accepted. (SCI 2022 subject categories SURGERY: Impact Factor 3.7, 36/212; 5-year Impact Factor 4.4, 32/212)
    2. Lin FA, Lee CE, Chen CM, Chang YC, Huang CS. Automated Marker-Free Longitudinal Infrared Breast Image Registration by GA-PSO. Physics in Medicine and Biology 2023, accepted. doi 10.1088/1361-6560/ad0357 (SCI 2022 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 3.5, 42/135; 5-year Impact Factor 3.5, 48/135)
    3. Chen PT, Li PY, Liu KL, Wu VC, Lin YH, Chueh JS, Chen CM, Chang CC. Machine learning model with computed tomography radiomics and clinico-biochemical characteristics predict the subtypes of patients with primary aldosteronism. Academic Radiology 2023, accepted. (SCI 2022 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 4.8, 27/135; 5-year Impact Factor 3.8, 38/135)
    4. Ko CL, Lin SS, Huang CW, Chang YH, Ko KY, Cheng MF, Wang SY, Chen CM, Wu YW. Polar map‑free 3D deep learning algorithm to predict obstructive coronary artery disease with myocardial perfusion CZT‑SPECT. European Journal of Nuclear Medicine and Molecular Imaging 2023; 50(2):376-386. doi: 10.1007/s00259-022-05953-z. (SCI 2021 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 10.057, 8/136; 5-year Impact Factor 9.111, 8/136)
    5. Kao TN, Hsieh MS, Chen LW, Yang CJ, Chuang CC, Chiang XH, Chen YC, Lee YH, Hsu HH, Chen CM, Lin MW, Chen JS. CT-Based Radiomic Analysis for Preoperative Prediction of Tumor Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodule. Cancers (Basel) 2022; 14(23):5888. doi: 10.3390/cancers14235888. (SCI 2021 subject categories ONCOLOGY: Impact Factor 6.675, 60/246; 5-year Impact Factor 6.886, 58/246)
    6. Ko CL, Lin SS, Huang CW, Chang YH, Ko KY, Cheng MF, Wang SY, Chen CM, Wu YW. Polar map‑free 3D deep learning algorithm to predict obstructive coronary artery disease with myocardial perfusion CZT‑SPECT. European Journal of Nuclear Medicine and Molecular Imaging 2023; 50(2):376-386. doi: 10.1007/s00259-022-05953-z. (SCI 2021 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 10.057, 8/136; 5-year Impact Factor 9.111, 8/136)
    7. Kao TN, Hsieh MS, Chen LW, Yang CJ, Chuang CC, Chiang XH, Chen YC, Lee YH, Hsu HH, Chen CM, Lin MW, Chen JS. CT-Based Radiomic Analysis for Preoperative Prediction of Tumor Invasiveness in Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodule. Cancers (Basel) 2022; 14(23):5888. doi: 10.3390/cancers14235888. (SCI 2021 subject categories ONCOLOGY: Impact Factor 6.675, 60/246; 5-year Impact Factor 6.886, 58/246)
    8. Lee HY, Chung YJ, Wang HJ, Chiang XH, Chen LW, Lin YT, Lee YC, Hsu HH, Chang YC, Chen CM, Lin MW, Chen JS. Automated 3D segmentation of the aorta and pulmonary artery for predicting outcomes after thoracoscopic lobectomy in lung cancer patients. Frontiers in Oncology 2022; 12. doi: 10.3389/fonc.2022.1027036. (SCI 2021 subject categories ONCOLOGY: Impact Factor 5.738, 78/245 ; 5-year Impact Factor 6.122, 73/245)
    9. Lee CE, Chen CM*, Wang HX, Chen LW, Perng CK. Utilizing Mask RCNN for Monitoring Postoperative Free Flap: Circulatory Compromise Detection Based on Visible-Light and Infrared Images. IEEE Access 2022; 10: 109510-109525. doi: 10.1109/ACCESS.2022.3214212. (SCI 2021 subject categories COMPUTER SCIENCE, INFORMATION SYSTEMS: Impact Factor 3.476, 79/164; 5-year Impact Factor 3.758, 72/164)
    10. Chen LW, Yang SM, Chuang CC, Wang HJ, Chen YC, Lin MW, Hsieh MS, Antonoff MB, Change YC, Wu CC, Pan TS, Chen CM*. Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinoma on Computed Tomography. Annals of Surgical Oncology 2022, 29(12):7473-7482. doi: 10.1245/s10434-022-12055-5.  (SCI 2021 subject categories SURGERY: Impact Factor 4.339, 37/213; 5-year Impact Factor 4.994, 31/213)
    11. Wang HJ, Chen LW, Lee HY, Chung YJ, Lin YT, Lee YC, Chen YC, Chen CM*, Lin MW*. Automated 3D Segmentation of the Aorta and Pulmonary Artery on Non-Contrast-Enhanced Chest Computed Tomography Images in Lung Cancer Patients. Diagnostics 2022; 12(4): 967. doi: 10.3390/diagnostics12040967. (SCI 2021 subject categories MEDICINE, GENERAL & INTERNAL: Impact Factor 3.992, 60/172; 5-year Impact Factor 4.129, 49/172)
    12. Gharleghi R, Adikari D, Ellenberger K, Ooi SY, Ellis C, Chen CM, et al. Automated segmentation of normal and diseased coronary arteries – The ASOCA challenge. Computerized Medical Imaging and Graphics 2022; 97: 102049. doi: 10.1016/j.compmedimag.2022.102049. (SCI 2021 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 7.422, 14/136; 5-year Impact Factor 6.141, 19/136)
    13. Lee CE, Chen CM*, Hsu FS, Yu HJ, Chen LW, Yang AS, Perng CK. A postoperative free flap monitoring system: circulatory compromise detection based on visible-light Image. IEEE Access 2022; 10: 4649-4665. doi: 10.1109/ACCESS.2021.3136795. (SCI 2021 subject categories COMPUTER SCIENCE, INFORMATION SYSTEMS: Impact Factor 3.476, 79/164; 5-year Impact Factor 3.758, 72/164)
    14. Lin FY, Chang YC, Huang HY, Li CC, Chen YC, Chen CM*. A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation. European Radiology 2022; 32(6):3767-3777. doi: 10.1007/s00330-021-08456-x. Epub 2022 Jan 12.  (SCI 2021 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 7.034, 20/136; 5-year Impact Factor 6.020, 20/136)
    15. Lor KL, Chang YC, Yu CJ, Wang CY, Chen CM. Bullous Parametric Response Map for Functional Localization of COPD. J Digit Imaging 2022; 35(2):115-126. doi: 10.1007/s10278-021-00561-z. Epub 2022 Jan 11.  (SCI 2021 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 4.903, 37/136; 5-year Impact Factor 4.665, 34/136)
    16. Chen LW, Lin MW, Hsieh MS, Yang SM, Wang HJ, Chen YC, Chen HY, Hu YH, Lee CE, Chen JS, Chang YC, Chen CM*. Radiomic Values from High-Grade Subtypes to Predict Spread Through Air Spaces in Lung Adenocarcinoma. Annals of Thoracic Surgery 2021; S0003-4975(21)01467-3. doi: 10.1016/j.athoracsur.2021.07.075. (SCI 2021 subject categories SURGERY: Impact Factor 5.113, 28/213; 5-year Impact Factor 5.040, 29/213)
    17. Wang LM, Huang YH, Chou PH, Wang YM, Chen CM, Sun CW. Characteristics of brain connectivity during verbal fluency test: Convolutional neural network for functional near-infrared spectroscopy analysis. Journal of biophotonics 2021: e202100180. doi: 10.1002/jbio.202100180. (SCI 2021 subject categories BIOCHEMICAL RESEARCH METHODS: Impact Factor 3.390, 34/79; 5-year Impact Factor 3.378, 32/79)
    18. Wang HJ, Lin MW, Chen YC, Chen LW, Hsieh MS, Yang SM, Chen HF, Wang CW, Chen JS, Chang YC, Chen CM*. A radiomics model can distinguish solitary pulmonary capillary haemangioma from lung adenocarcinoma. Interactive CardioVascular and Thoracic Surgery (ICVTS) 2021; doi:10.1093/icvts/ivab271. (SCI 2021 subject categories CARDIAC & CARDIOVASCULAR SYSTEMS: Impact Factor 1.978, 112/143; 5-year Impact Factor 2.038, 107/143)
    19. Su CT, Chen CJ, Chen CM, Chen CC, Ma SH, Wu JH. Optical profile: A key determinant of antibacterial efficacy of photodynamic therapy in dentistry. Photodiagnosis and Photodynamic Therapy 2021; 35: 102461, https://doi.org/10.1016/j.pdpdt.2021.102461. (SCI 2021 subject categories ONCOLOGY: Impact Factor 3.577, 155/245; 5-year Impact Factor 3.601, 152/245)
    20. Chen LW, Yang SM, Wang HJ, Chen YC, Lin MW, Hsieh MS, Song HL, Ko HJ, Chen CM*, Chang YC. Prediction of micropapillary and solid pattern in lung adenocarcinoma using radiomic values extracted from near-pure histopathological subtypes. European Radiology 2021; 31(7):5127-5138. doi: 10.1007/s00330-020-07570-6. Epub 2021 Jan 3. (SCI 2021 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 7.034, 20/136; 5-year Impact Factor 6.020, 20/136)
    21. Huang YH, Chen CM, Wang YM, Sun CW. Quantitative Evaluation of Age-Related Effects Based on Oxygenation Dynamic Signals During the Wisconsin Card Sorting Test. IEEE Journal of Selected Topics in Quantum Electronics 2021; 27(4):1-5. Art no. 7400106, doi: 10.1109/JSTQE.2020.3019283. (SCI 2021 subject categories OPTICS: Impact Factor 4.653, 21/101; 5-year Impact Factor 4.715, 19/101)
    22. Su CT, Chen CM, Chen CC, Wu JH. Dose Analysis of Photobiomodulation Therapy in Stomatology. Evidence-Based Complementary and Alternative Medicine Volume 2020, Article ID 8145616, 12 pages, 2020. (SCI 2020 subject categories INTEGRATIVE & COMPLEMENTARY MEDICINE: Impact Factor 2.650, 16/30; 5-year Impact Factor 3.014, 14/30)
    23. Chen CM, Zhang SW, Hsu CY. A sonography image processing system for tumour segmentation. Enterprise Information Systems 2020; 14:2, 159-177. DOI: 10.1080/17517575.2019.1575985. (SCI 2021 subject categories COMPUTER SCIENCE, INFORMATION SYSTEMS: Impact Factor 4.407, 56/164; 5-year Impact Factor 3.645, 77/164)
    24. Lor KL, Liu CP, Chang YC, Yu CJ, Wang CY, Chung MJ, Lin FY, Chen CM*. Predictive Modelling of Lung Function using Emphysematous Density Distribution. Scientific Reports 2019; 9:19763. doi:10.1038/s41598-019-56351-9. (SCI 2021 subject categories MULTIDISCIPLINARY SCIENCES: Impact Factor 4.997, 19/74; 5-year Impact Factor 5.516, 19/74)
    25. Chen BW, Chen LW, Yang SM, Lin CK, Ko HJ, Chen CM*. Quantitative feature analysis of CT images of transbronchial dye markings mimicking true pulmonary ground-glass opacity lesions. Annals of Translational Medicine 2019; 7(2): 29.(SCI 2021 subject categories ONCOLOGY: Impact Factor 3.616, 153/245; 5-year Impact Factor 3.485, 124/245)
    26. Yang SM., Lin CK, Chen LW, Chen YC, Huang HC, Ko HJ, Chen CM, Sato M. Combined virtual-assisted lung mapping (VAL-MAP) with CT-guided localization in thoracoscopic pulmonary segmentectomy. Asian Journal of Surgery 2019; 42: 488-494. (SCI 2021 subject categories SURGERY: Impact Factor 2.808, 88/213; 5-year Impact Factor 2.727, 102/213)
    27. Huang YH, Chuang ML, Wang PZ, Chen YC, Chen CM, Sun CW. Muscle oxygenation dynamics in response to electrical stimulation as measured with near-infrared spectroscopy: A pilot study. Journal of Biophotonics 2018, https://doi.org/10.1002/jbio.201800320. (SCI 2021 subject categories BIOCHEMICAL RESEARCH METHODS: Impact Factor 3.390, 34/79; 5-year Impact Factor 3.403, 32/79)
    28. Liang HKT, Lai XS, Wei MF, Lu SH, Wen WF, Kuo SH, Chen CM, Tseng WYI, Lin FH. Intratumoral injection of thermogelling and sustained-release carboplatin-loaded hydrogel simplifies the administration and remains the synergistic effect with radiotherapy for mice gliomas. Biomaterials 2018; 151: 38-52. (SCI 2021 subject categories ENGINEERING, BIOMEDICAL: Impact Factor 15.304, 4/98; 5-year Impact Factor 14.431, 5/98)
    29. Yang SM, Chen LW, Wang HJ, Chen LR, Lor KL, Chen YC, Lin MW, Hsieh MS, Chen JS, Chang YC*, Chen CM*. Extraction of radiomic values from lung adenocarcinoma with near-pure subtypes in the International Association for the Study of Lung Cancer/the American Thoracic Society/the European Respiratory Society (IASLC/ATS/ERS) classification. Lung Cancer 2018; 119:56-63. (SCI 2021 subject categories RESPIRATORY SYSTEM : Impact Factor 6.081, 16/66; 5-year Impact Factor 5.894, 16/66)
    30. Liang HKT, Chen WY, Lai SF, Su MY, You SL, Chen LH, Tseng HM, Chen CM, Kuo SH, and Tseng WYI. The extent of edema and tumor synchronous invasion into the subventricular zone and corpus callosum classify outcomes and radiotherapy strategies of glioblastomas. Radiotherapy and Oncology 2017; 125(2):248-257. (SCI 2021 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 6.901, 22/136; 5-year Impact Factor 6.724, 18/136)
    31. Chuang CC, Lin SY, Pai PC, Yan JL, Toh CH, Lee ST, Wei KC, Liu ZH, Chen CM, Wang YC, Lee CC. Different volumetric measurement methods for pituitary adenomas and their critical clinical significance. Scientific Reports 2017; 7: 40792 (DOI: 10.1038/srep40792) (SCI 2021 subject categories MULTIDISCIPLINARY SCIENCES: Impact Factor 4.997, 19/74; 5-year Impact Factor 5.516, 19/74)
    32. Cheng JZ, Ni D, Chou YH*, Qin J, Tiu CN, Chang YC, Huang CS, Shen DG*, Chen CM*. Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans. Scientific Reports 2016; 6:24454. (SCI 2021 subject categories MULTIDISCIPLINARY SCIENCES: Impact Factor 4.997, 19/74; 5-year Impact Factor 5.516, 19/74 ; 被引用次數：341次; 此論文於2018, 2019, 2020, 2021,2022等年度為高被引用論文)
    33. Liang THK, Kuo SH, Wang CW, Chen WY, Hsu CY, Lai SF, Tseng HM, You SL, Chen CM, Tseng WHI. Adverse Prognosis and Distinct Progression Patterns After Concurrent Chemoradiotherapy for Glioblastoma With Synchronous Subventricular Zone and Corpus Callosum Invasion. Radiotherapy and Oncology 2016; 118(1): 16-23. (http://dx.doi.org/10.1016/j.radonc.2015.11.017) (SCI 2020 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 6.280, 15/134; 5-year Impact Factor 5.881, 17/134) (citation times up to 2016: 4)
    34. Lee SP, Wu CS, Cheng JZ, Chen CM, Chen YC, Chou MC. Automatic Segmentation of the Corpus Callosum Using a Cell-Competition Algorithm: Diffusion Tensor Imaging-Based Evaluation of Callosal Atrophy and Tissue Alterations in Patients With Systemic Lupus Erythematosus. Journal of Computer Assisted Tomography 2015; 39(5): 781-786. (SCI 2020 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 1.826, 103/134; 5-year Impact Factor 1.592, 111/134) (citation times up to 2016: 1)
    35. Lee CC, Chen CM, Lee DH, Wei KC, Pai PC, Toh CH, Chuang CC. Prediction of Long-term Post-operative Testosterone Replacement Requirement Based on the Pre-operative Tumor Volume and Testosterone Level in Pituitary Macroadenoma. Scientific Reports 2015; 5:16194. (DOI: 10.1038/srep16194) (SCI 2021 subject categories MULTIDISCIPLINARY SCIENCES: Impact Factor 4.997, 19/74; 5-year Impact Factor 5.516, 19/74)(citation times up to 2016: 1)
    36. Wu CH, Hwang TJ, Chen YJ, Hsu YC, Lo YC, Liu CM, Hwu HG, Liu CC, Hsieh MH, Chien YL, Chen CM, Tseng WHI. Primary and secondary alterations of white matter connectivity in schizophrenia: A study on first-episode and chronic patients using whole-brain tractography-based analysis. Schizophrenia Research 2015; 169:54-61. (doi:10.1016/j.schres.2015.09.023) (SCI 2020 subject categories PSYCHIATRY: Impact Factor 4.939, 37/156; 5-year Impact Factor 5.058, 45/156) (citation times up to 2016: 5)
    37. Hung PK, Tsai J, Chen CM, Tsai RY. Quantitative Evaluation of Female Pattern Hair Loss in Chinese Women: A Preliminary Study. Dermatologic Surgery 2015; 41:1171-1174. ( DOI: 10.1097/DSS.0000000000000491) (SCI 2020 subject categories SURGEGY: Impact Factor 3.398, 63/212; 5-year Impact Factor 3.597, 63/212) (citation times up to 2016: 0)
    38. Tsou CH, Lu YC, Yuan A, Chang YC, Chen CM*. A Heuristic Framework for Image Filtering and Segmentation: Application to Blood Vessel Immunohistochemistry. Analytical Cellular Pathology 2015; Volume 2015:589158. (http://dx.doi.org/10.1155/2015/589158) (SCI 2020 subject categories CELL BIOLOGY: Impact Factor 1.300, 122/153) (citation times up to 2016: 0)
    39. Tsou CH, Lor KL, Chang YC and Chen CM*. Anatomy packing with hierarchical segments: An algorithm for segmentation of pulmonary nodules in CT images. BioMedical Engineering OnLine 2015; 14:42. (SCI 2020 subject categories ENGINEERING, BIOMEDICAL: Impact Factor 2.819, 55/90; 5-year Impact Factor 2.905, 52/90) (citation times up to 2016: 1)
    40. Chang YH, Yang YL, Chen CM and Chen HY. Apoptosis pathway signature for prediction of treatment response and clinical outcome in childhood high risk B-Precursor acute lymphoblastic leukemia. American Journal of Cancer Research 2015; 5(5):1844-1853. (SCI 2020 subject categories ONCOLOGY: Impact Factor 6.166, 64/243; 5-year Impact Factor 5.863, 71/243) (citation times up to 2016: 0)
    41. Chang YH, Chen CM, Chen HY, Yang PC. Pathway-based gene signatures predicting clinical outcome of lung adenocarcinoma. Scientific Reports 2015; 5:10979. (doi:10.1038/srep10979) (SCI 2021 subject categories MULTIDISCIPLINARY SCIENCES: Impact Factor 4.997, 19/74; 5-year Impact Factor 5.516, 19/74) (citation times up to 2016: 1)
    42. Hsieh HC, Chen CM, Hsieh WY, Chen CY, Liu CC, Lin FH. ROS-induced toxicity: exposure of 3T3, RAW264.7, and MCF7 cells to superparamagnetic iron oxide nanoparticles results in cell death by mitochondria-dependent apoptosis. Journal of Nanoparticle Research 2015; 17:71. (DOI 10.1007/s11051-015-2886-8) (SCI 2020 subject categories CHEMISTRY, MULTIDISCIPLINARY: Impact Factor 2.253, 114/178; 5-year Impact Factor 2.359, 107/178) (citation times up to 2016: 3)
    43. Wu CH, Hwang TJ, Chen YJ, Hsu YC, Lo YC, Liu CM, Hwu HG, Liu CC, Hsieh MH, Chien YL, Chen CM, Tseng WYI. Altered integrity of the right arcuate fasciculus as a trait marker of schizophrenia: A sibling study using tractography-based analysis of the whole brain. Human Brain Mapping 2015; 36(3):1065-1076. (DOI: 10.1002/hbm.22686) (SCI 2020 subject categories NEUROIMAGING: Impact Factor 5.038, 83/273; 5-year Impact Factor 5.684, 64/273) (citation times up to 2016: 7)
    44. Hung PK, Chu TWT, Tsai RY, Kung CW, Lin SJ, Chen CM*. Quantitative assessment of female pattern hair loss. Dermatologica Sinica 2015; 33(3):142-145. (SCI 2020 subject categories DERMATOLOGY: Impact Factor 1.321, 62/69; 5-year Impact Factor 1.299, 63/69) (citation times up to 2016: 1-1)
    45. Chen ST, Wang TD, Lee WJ, Huang TW, Hung PK, Wei CY, Chen CM, Kung WM. Coronary Arteries Segmentation based on the 3D Discrete Wavelet Transform and 3D Neutrosophic Transform. BioMed Research International 2015; Article ID 798303. (http://dx.doi.org/10.1155/2015/798303) (SCI 2020 subject categories BIOTECHNOLOGY & APPLIED MICROBIOLOGY: Impact Factor 3.411, 70/160, 5-year Impact Factor 3.620, 58/160) (citation times up to 2016: 1)
    46. Wu CH, Hwang TJ, Chen PJ, Chou TL, Hsu YC, Liu CM, Wang HL, Chen CM, Hua MS, Hwu HG, Tseng WYI. Reduced structural integrity and functional lateralization of the dorsal language pathway correlate with hallucinations in schizophrenia: a combined diffusion spectrum imaging and functional magnetic resonance imaging study. Psychiatry Research: Neuroimaging 2014; 224(3):303–310. (SCI 2020 subject categories PSYCHIATRY: Impact Factor 2.376, 84/156; 5-year Impact Factor 2.890, 103/156) (citation times up to 2016: 5-1)
    47. Lee CY, Wang HJ, Chen CM, Chuang CC, Chang YC, Chou NS. A Modified Harris Corner Detection for Breast IR Image. Mathematical Problems in Engineering 2014; Volume 2014: Article ID 902659. (http://dx.doi.org/10.1155/2014/902659) (SCI 2020 subject categories ENGINEERING, MULTIDISCIPLINARY: Impact Factor 1.305, 68/91; 5-year Impact Factor 1.270, 69/91) (citation times up to 2016: 0)
    48. Chen ST, Hung PK, Lin MS, Huang CY, Chen CM*, Wang TD, Lee WJ. DWT-Based Segmentation Method for Coronary Arteries topical collection on systems-level quality improvement. Journal of Medical Systems 2014; 38(6):55. (DOI 10.1007/s10916-014-0055-8) (SCI 2020 subject categories HEALTH CARE SCIENCES & SERVICES: Impact Factor 4.460, 21/108; 5-year Impact Factor 3.951, 34/108) (citation times up to 2016: 0)
    49. Sun CW, Chuang CC, Lee CY, Chen CM. Diffuser-aided time-domain diffuse optical imaging: a phantom study. Journal of Biomedical Optics 2014; 19(4):046008. (doi: 10.1117/1.JBO.19.4.046008.) (SCI 2019 subject categories OPTICS: Impact Factor 2.785, 29/97; 5-year Impact Factor 2.765, 30/97) (citation times up to 2016: 0)
    50. Chuang CC, Chen CM, Hsieh YS, Liu TC, Sun CW. Brain structure and spatial sensitivity profile assessing by near-infrared spectroscopy modeling based on 3D MRI data.” Journal of Biophotonics 2013; 6(3):267-274. (SCI 2017 subject categories BIOCHEMICAL RESEARCH METHODS: Impact Factor 3.768, 15/79; 5-year Impact Factor 3.694, 18/79) (citation times up to 2016: 6)
    51. Kirisli HA, Schaap M, Metz CT, ..., Chen CM, et al. Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography. Medical Image Analysis 2013; 17:859–876. (SCI 2017 subject categories COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE:  Impact Factor 5.356, 10/132; 5-year Impact Factor 5.417, 11/132) (citation times up to 2016: 36)
    52. Shih SR, Chang YC, Li HH, Liau JY, Lee CY, Chen CM*, Chang TC. Preoperative Prediction of Papillary Thyroid Carcinoma Prognosis with the Assistance of Computerized Morphometry of Cytology Samples Obtained by Fine Needle Aspiration: Preliminary Report. Head Neck-J. Sci. Spec. Head Neck 2013; 35(1):28-34. (SCI 2017 subject categories OTORHINOLARYNGOLOGY: Impact Factor 2.471, 9/41; 5-year Impact Factor 2.600, 9/41) (citation times up to 2016: 6)
    53. Shih SR, Chang JS, Lin LC, Chang YC, Lee CY, Chen CM, Chang TC. The Relationship between Thyrotropin Receptor Antibody Levels and Intrathyroid Vascularity in Patients with Graves’ Disease. Experimental and Clinical Endocrinology & Diabetes 2013; 121(1):1-5. (SCI 2017 subject categories ENDOCRINOLOGY & METABOLISM: Impact Factor 1.623, 120/142; 5-year Impact Factor 1.622, 113/142) (citation times up to 2016: 0)
    54. Huang CC, Chen JC, Chang YC, Jeng JH, Chen CM*. A fractal dimensional approach to successful evaluation of apical healing. International Endodontic Journal 2013; 46:523–529. (SCI 2017 subject categories DENTISTRY, ORAL SURGERY & MEDICINE: Impact Factor 3.015, 12/91; 5-year Impact Factor 3.251, 14/91) (citation times up to 2016: 3)
    55. Cheng JZ, Chen CM, Cole E, Pisano ED, Shen DG. Automated Delineation of Calcified Vessels in Mammography by Tracking with Uncertainty and Graphical Linking Techniques IEEE Transactions on Medical Imaging 2012; 30(11):2143-2155. (DOI: 10.1109/TMI.2012.2215880) (SCI 2017 subject categories COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: Impact Factor 6.131, 3/105; 5-year Impact Factor 5.546, 5/105) (citation times up to 2016: 15)
    56. Hung K, Wang J, Chen C, Chuang C, Tsai K, Chen CM*. Enhancement of Initial Equivalency for Protein Structure Alignment Based on Encoded Local Structures. IEEE Transactions on Information Technology in Biomedicine 2012; 16(6):1185-1192. (SCI 2014 subject categories COMPUTER SCIENCE, INFORMATION SYSTEMS: Impact Factor 2.493, 14/161; 5-year Impact Factor 2.873) (citation times up to 2016: 0)
    57. Chuang CC, Lee CY, Chen CM, Hsieh YS, Liu TC, Sun CW. Diffuser-Aided Diffuse Optical Imaging for Breast Tumor: A Feasibility Study Based on Time-Resolved Three-Dimensional Monte Carlo Modeling. IEEE Transactions on Biomedical Engineering 2012; 59(5):1454-1461. (SCI 2017 subject categories ENGINEERING, BIOMEDICAL: Impact Factor: 4.288, 9/78; 5-year Impact Factor: 4.140, 13/78) (citation times up to 2016: 1)
    58. Chuang CC, Lee YT, Chen CM, Hsieh YS, Liu TC, Sun CW. Patient-oriented simulation based on Monte Carlo algorithm by using MRI data. BioMedical Engineering OnLine 2012; 11(21):1-15. (SCI 2020 subject categories ENGINEERING, BIOMEDICAL: Impact Factor 2.819, 55/90; 5-year Impact Factor 2.905, 52/90) (citation times up to 2016: 8)
    59. Wang JC, Chu PY, Chen CM, Lin JH. idTarget: a Web Server for Identifying Protein Targets of Small Chemical Molecules with Robust Scoring Functions and a Divide-and-Conquer Docking Approach. Nucleic Acids Research 2012; 40(Web Server issue):W393–W399. (DOI: 10.1093/nar/gks496) (SCI 2017 subject categories BIOCHEMISTRY & MOLECULAR BIOLOGY: Impact Factor: 11.561, 10/293; 5-year Impact Factor: 10.235, 17/293) (citation times up to 2016: 40)
    60.  Yeh FC, Cheng JZ, Chou YH, Tiu CM, Chang YC, Huang CS, Chen CM*. Stochastic Region Competition Algorithm for Doppler Sonography Segmentation. Medical Physics 2012; 39(5): 2867-76. (SCI 2017 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.884, 36/129; 5-year Impact Factor 3.029, 34/129) (citation times up to 2016: 1)
    61. Chuang CC, Tsai JC, Chen CM, Yu ZH, Sun CW. Convergence Rate Calculation of Simultaneous Iterative Reconstruction Technique Algorithm for Diffuse Optical Tomography Image Reconstruction: A feasibility study. Optics Communications 2012; 285(8):2236–2241. (SCI 2017 subject categories OPTICS: Impact Factor 1.887, 46/94; 5-year Impact Factor 1.573, 51/94) (citation times up to 2016: 0)
    62. Chang YC, Yu CJ, Chen CM, et al. Dynamic Contrast-Enhanced MRI in Advanced Nonsmall-Cell Lung Cancer Patients Treated with First-Line Bevacizumab, Gemcitabine, and Cisplatin. Journal of Magnetic Resonance Imaging 2012; 36(2):587-396. (SCI 2017 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 3.612 25/129; 5-year Impact Factor 3.493, 25/129) (citation times up to 2016: 28)
    63. Chuang CC, Wang PN, Chen WT, Lan TH, Chen CM, Hsieh YS, Wang CY, Sun CW. Near-Infrared Brain Volumetric Imaging Method: A Monte Carlo Study. IEEE Journal of Selected Topics in Quantum Electronics (JSTQE) 2012; 18(3):1122-1129 (DOI: 10.1109/JSTQE.2011.2163927) (SCI 2017 subject categories OPTICS: Impact Factor 3.367, 18/94; 5-year Impact Factor 3.253, 18/94) (citation times up to 2016: 1)
    64. Lee CY, Chuang CC, Hsieh HY, Lee WJ, Lee CY, Shih SR, Lee SC, Huang CS, Chang YC, Chen CM*. Evaluation of Dual-Spectrum IR Spectrogram System on Invasive Ductal Carcinoma Breast Cancer. Biomedical Engineering: Applications, Basis and Communications 2011; 23(6):427-433. (*通訊作者) (SCI 2016 subject categories ENGINEERING, BIOMEDICA: Impact Factor 0.233, 12/92) (SCI-E) NSC-88-2213-E-002-016 (citation times up to 2016: 1)
    65. Shih SR, Lin MS, Li HY, Yang HY, Hsiao YL, Chang MT, Chen CM, Chang TC. Observing Pretibial Myxedema in Patients with Graves’ Disease using Digital Infrared Thermal Imaging and High-resolution Ultrasonography—for Better Records, Early Detection, and Further Investigation. European Journal of Endocrinology 2011; 164:605-611. (SCI 2016 subject categories ENDOCRINOLOGY & METABOLISM: Impact Factor 4.101, 33/138; 5-year Impact Factor 4.142) (citation times up to 2016: 7)
    66. Wang JC, Lin JH, Chen CM, Perryman AL, Olson AJ. Robust Scoring Functions for Protein-Ligand Interactions with Quantum Chemical Charge Models. Journal of Chemical Information and Modeling 2011; 51:2528-2537. (SCI 2016 subject categories COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: Impact Factor 3.760, 12/105; 5-year IF:4.066) (citation times up to 2016: 22-1)
    67. C. Y. Lee, Y. H. Chou, C. S. Huang, Y. C. Chang, C. M. Tiu, C. M. Chen*, “Intensity Inhomogeneity Correction for the Breast Sonogram: Constrained Fuzzy Cell-based Bipartitioning and Polynomial Surface Modeling,” MEDICAL PHYSICS, vol 37, pp. 5645-5654, 2010. (*通訊作者) (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.617, 37/127; 5-year Impact Factor 2.932) (citation times up to 2016: 1)
    68. J. Z. Cheng, Y. H. Chou, C. S. Huang, Y. C. Chang, C. M. Tiu, F. C. Yeh, K. W. Chen, C. H. Tsou, C. M. Chen*,  “ACCOMP: Algorithm for Breast Lesion Demarcation in Sonography,” MEDICAL PHYSICS, vol 37, pp. 6240-6252, 2010. (*通訊作者) (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.617, 37/127; 5-year Impact Factor 2.932) (citation times up to 2016: 10)
    69. J. Z. Cheng, Y. H. Chou, C. S. Huang, Y. C. Chang, C. M. Tiu, K. W Chen, C. M. Chen*, “Computer-aided US Diagnosis of Breast Lesions by Using Cell-based Contour Grouping,” Radiology, vol. 255, pp 746-754, June 2010. (*通訊作者) (SCI 2014 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 7.296 2/127; 5-year Impact Factor 7.648) (citation times up to 2016: 19)
    70. C. M. Chen, C. Lee, C. L. Chuang, C. C. Wang and G. S. Shieh, “Inferring Genetic Interactions via A Nonlinear Model and An Optimization Algorithm,” BMC Systems Biology 2010, 4:16, http://www.biomedcentral.com/1752-0509/4/16. (SCI 2016 subject categories MATHEMATICAL & COMPUTATIONAL BIOLOGY: Impact Factor 2.303, 11/57; 5-year Impact Factor 2.526) (citation times up to 2016: 11)
    71. T. Y. Tsai, T. W. Lu*, C. M. Chen, M. Y. Kuo, H. C Hsu and C. C. Kuo, “A Volumetric Model-Based 2-D to 3-D Registration Method for Measuring Kinematics of Natural Knees with Single-Plane Fluoroscopy,” MEDICAL PHYSICS, vol. 37, no. 3, pp. 1273-1284, 2010. (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.617, 37/127; 5-year Impact Factor 2.932) (citation times up to 2016: 33-1)
    72. C.L. Chuang, K. Hung, C.M. Chen*, and G. S. Shieh*, “Uncovering transcriptional interactions via an adaptive fuzzy logic approach,” BMC Bioinformatics, 10:400, 2009, doi: 10.1186/1471-2105-10-400. (*通訊作者) (SCI 2016 subject categories MATHEMATICAL & COMPUTATIONAL BIOLOGY: Impact Factor 2.448, 10/57; 5-year Impact Factor 3.45) (citation times up to 2016: 9-1)
    73. C. L. Chuang, C. M. Chen, W. S. Wong, K. N. Tsai, E. C. Chan, J. A. Jiang, “A Robust Correlation Estimator and Nonlinear Recurrent Model to Infer Genetic Interactions in Saccharomyces cerevisiae and Pathways of Pulmonary Disease in Homo sapiens,” BioSystems, vol. 98, pp. 160-175, 2009. (SCI 2016 subject categories BIOLOGY: Impact Factor 1.652, 39/85; 5-year Impact Factor 1.491) (citation times up to 2016: 1)
    74. K. N. Tsai, E. C. Chan, T. Y. Tsai, K. T. Chen, C.Y. Chen, K. Hung, C. M. Chen*, “Cytotoxic effect of recombinant Mycobacterium tuberculosis CFP-10/ESAT-6 protein on the crucial pathways of WI-38 cells,” Journal of Biomedicine and Biotechnology, vol. 2009, Article ID 917084, 10 pages, 2009. doi:10.1155/2009/917084 2009. (*通訊作者) (SCI 2016 subject categories BIOTECHNOLOGY & APPLIED MICROBIOLOGY: Impact Factor 3.169, 46/163; 5-year Impact Factor 3.132) (citation times up to 2016: 4)
    75. K. N. Tsai, S. H. Lin, S. R. Shih, J. S. Lai, C. M. Chen*, “Genomic splice site prediction algorithm based on nucleotide sequence pattern for RNA viruses,” Computational Biology and Chemistry, vol. 33, pp. 171–175, 2009. (*通訊作者) (SCI 2016 subject categories COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: Impact Factor 1.331, 70/106; 5-year Impact Factor 1.437) (citation times up to 2016: 2)
    76. Y-Y. Yu, H. Chen, C. H. Lin, C. M. Chen*, T. Oviir, S-K Chen, L. Hollender, “Fractal dimension analysis of periapical reactive bone in response to root canal treatment,” ORAL SURGERY ORAL MEDICINE ORAL PATHOLOGY ORAL RADIOLOGY AND ENDODONTOLOGY, vol. 107, pp. 283-288, 2009.  (*通訊作者) (SCI 2016 subject categories DENTISTRY, ORAL SURGERY & MEDICINE: Impact Factor 1.457, 33/81; 5-year Impact Factor 1.815) (citation times up to 2016: 16-1)
    77. C. Y. Hsu, C. Y. Liu, C. M. Chen, “Automatic Segmentation of Liver PET Images,” Computerized Medical Imaging and Graphics, vol. 32(7), pp. 601–610, 2008. (SCI 2016 subject categories ENGINEERING, BIOMEDICAL: Impact Factor 1.738, 48/77; 5-year Impact Factor 1.889) (citation times up to 2016: 22)
    78. C. L Chuang, C. H. Jen, C. M. Chen, G. S. Shieh, “A Pattern Recognition Approach to Infer Time-lagged Genetic Interactions,” Bioinformatics, vol. 24, no. 9, pp. 1183-1190, 2008. (SCI 2016 subject categories MATHEMATICAL & COMPUTATIONAL BIOLOGY: Impact Factor 7.307, 2/57; 5-year Impact Factor 8.044) (citation times up to 2016: 17-2)
    79. P. M. Yang, C. M. Chen*, T. W. Lu, C. P. Yen, “Computer-aided diagnosis of sonographic liver cirrhosis: A spleen-reference approach,” MEDICAL PHYSICS, vol. 35, no. 4, pp. 1180-1190, 2008. (*通訊作者) (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.617, 37/127; 5-year Impact Factor 2.932) (citation times up to 2016: 2)
    80. G. S. Shieh, C. M. Chen, C. Y. Yu, J. Hwang, W. F. Wang, Y. C. Lo, “Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling,” BMC Bioinformatics, 9:134, 2008. (The first two authors have equal contributions as pointed out in the title page of the paper) (SCI 2016 subject categories MATHEMATICAL & COMPUTATIONAL BIOLOGY: Impact Factor 2.448, 10/57; 5-year Impact Factor 3.45) (citation times up to 2016: 10-2)
    81. C. L. Chuang, C. M. Chen, G. S. Shieh and J. A. Jiang, “GeneCFE-ANFIS: A Neuro-Fuzzy Inference System to Infer Gene-Gene Interactions Based on Recognition of Microarray Gene Expression Patterns,” Biomedical Engineering – Applications, Basis and Communications, vol. 19, no. 2, pp. 71-78, 2007. (SCI 2016 subject categories ENGINEERING, BIOMEDICAL: Impact Factor 0.233, 75/79 ) (EI) NSC-88-2213-E-002-016 (citation times up to 2016: 0)
    82. J. Z. Cheng, C. M. Chen*, Y. H. Chou, C. S. K. Chen, and C. M. Tiu. “Cell-based Two-region Competition Algorithm with A MAP Framework for Boundary Delineation of A Series of 2D Ultrasound Images,” Ultrasound in Medicine and Biology, vol. 33, no. 10, pp. 1640-1650, 2007. (*通訊作者) (SCI 2016 subject categories ACOUSTICS: Impact Factor 2.494, 6/31; 5-year Impact Factor 2.568) (citation times up to 2016:7)
    83. W. H. Chan, Y. C. Leu, and C. M. Chen. “Exploring Group-wise Conceptual Deficiencies of Fractions for the Fifth and Sixth Graders in Taiwan,” Journal of Experimental Education, vol. 76, no. 1, pp. 26-57, 2007. (SCI 2016 subject categories EDUCATION & EDUCATIONAL RESEARCH: Impact Factor 1.588, 58/253; 5-year Impact Factor 1.653) (citation times up to 2016: 9)
    84. C. L. Chuang, C. M. Chen and G. S. Shieh, “A Hybrid Algorithm to Infer Genetic Network,” Lecture Notes in Computer Science, Vol. 4233, pp. 1079-1089, 2006. (SCI 2016 subject categories COMPUTER SCIENCE, THEORY & METHODS Impact Factor 0.402, 62/71) (citation times up to 2016: 0)
    85. K. N. Tsai, T. Y. Tsai and C. M. Chen*. “A New Approach to Deciphering Pathways of Enterovirus 71-Infected Cells: An Integration of Microarray Data, Gene Ontology, and Pathway Database,” Biomedical Engineering – Applications, Basis and Communications, vol. 18, no. 6, pp. 337-342, 2006. (*通訊作者) (SCI 2016 subject categories ENGINEERING, BIOMEDICAL: Impact Factor 0.233, 75/79 ) (EI) NSC-88-2213-E-002-016 (citation times up to 2016: 0)
    86. C. M. Chen, Y. H. Chou, C. S. K. Chen, J. Z. Cheng, Y.F. Ou, F. C. Yeh, K. W. Chen. "Cell Competition Algorithm: A New Segmentation Algorithm for Multiple Objects with Irregular Boundaries in Ultrasound Images," Ultrasound in Medicine and Biology, vol. 31, no. 12, pp. 1647-1664, 2005. (SCI 2016 subject categories ACOUSTICS: Impact Factor 2.494, 6/31; 5-year Impact Factor 2.568) (citation times up to 2016: 22-1)
    87. J-H Pan, S-K Chen, C-H Lin, L-C Leu, C-M Chen and J-Y Jeng, "Estimation of single-root surface area from true thickness data and from thickness derived from digital dental radiography," Dentomaxillofacial Radiology, 2004, vol. 33, pp. 312-317. (SCI 2016 subject categories DENTISTRY, ORAL SURGERY & MEDICINE: Impact Factor 1.594, 38/90; 5-year Impact Factor 1.698) (citation times up to 2016: 2)
    88. T. T. Soong, M. J. Hwang, C. M. Chen*. “Discovery of Recurrent Structural Motifs for Approximating Three-Dimensional Protein Structures,” Journal of the Chinese Chemical Society, vol. 51, pp. 1107-1114, 2004. (*第一作者之指導教授) (SCI 2016 subject categories CHEMISTRY, MULTIDISCIPLINARY: Impact Factor 0.935, 129/166; 5-year Impact Factor 0.818) (citation times up to 2016: 1)
    89. S. K. Chen, J. H. Pan, C. M. Chen, J. Y. Cheng. “Accuracy of Supported Single-root Surface Ratio Estimation from Projected Length and Area on Radiograph,” J Periodontology, vol. 75, pp. 866-871, 2004. (SCI 2016 subject categories DENTISTRY, ORAL SURGERY & MEDICINE: Impact Factor 3.03, 10/90; 5-year Impact Factor 3.311) (citation times up to 2016: 4)
    90. H. C. Huang, J. Y. Chen, S. D. Wang, and C. M. Chen*. “Adaptive Ultrasonic Speckle Reduction Based on the Slope Facet Model”, Ultrasound in Medicine and Biology, vol. 29, no. 8, pp. 1161-1175, 2003. (*第一作者之指導教授及通訊作者) (SCI 2016 subject categories ACOUSTICS: Impact Factor 2.494, 6/31; 5-year Impact Factor 2.568) NSC 89-2213-E-002-130 (citation times up to 2016: 9)
    91. C.M. Chen, Y.H. Chou, Ko-Chung Han, Guo-Shian Hung, Chui-Mei Tiu, Hong-Jen Chiou, and See-Ying Chiou. “Breast Lesions on Sonograms: Computer-aided Diagnosis with Nearly Setting-Independent Features and Artificial Neural Networks,” Radiology, vol. 226, no. 2, pp. 504-514, 2003. (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 7.296, 2/127; 5-year Impact Factor 7.648) NSC 91-2213-E-002-068 (citation times up to 2016: 84-1)
    92. C.M. Chen, H. H.-S. Lu, Y.-L. Chen, “A Discrete Region Competition Approach Incorporating Weak Edge Enhancement for Ultrasound Image Segmentation,” Pattern Recognition Letter, vol. 24, 693-704, 2003. (SCI 2016 subject categories COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE: Impact Factor 1.995 , 58/133; 5-year Impact Factor 2.164) NSC-87-2213-E-002-073 (citation times up to 2016: 2)
    93. C. M. Chen, H. H.-S. Lu, and Y. S. Huang, “Cell-based Dual Snake Model: A New Approach to Extracting Highly Winding Boundaries in The Ultrasound Images,” Ultrasound in Medicine and Biology, vol. 28, no. 8, pp. 1061-1073, 2002. (SCI 2016 subject categories ACOUSTICS: Impact Factor 2.494, 6/31; 5-year Impact Factor 2.568) NSC-90-2213-E-002-103 (citation times up to 2016: 13-1)
    94. S. K. Chen and C. M. Chen, “Calculation of Simplified Single-Root Surface Area from Simulated X-ray Projection,” J. of Periodontology, vol. 73, no. 8, pp. 906-910, 2002. (SCI 2016 subject categories DENTISTRY, ORAL SURGERY & MEDICINE: Impact Factor 3.03, 10/90; 5-year Impact Factor 3.311) (citation times up to 2016: 8-1)
    95. C.M. Chen, H. H.-S. Lu, and A.T. Hsiao. “A Dual Snake Model of High Penetrability for Ultrasound Image Boundary Extraction,” Ultrasound in Medicine and Biology, vol. 27, no. 12, pp. 1651-1665, 2001. (SCI 2016 subject categories ACOUSTICS: Impact Factor 2.494, 6/31; 5-year Impact Factor 2.568) NSC90-2213-E-002-123 (citation times up to 2016: 12)
    96. H.C. Huang, C.M. Chen*, S.D. Wang, and H. H.-S. Lu. “Adaptive Symmetric Mean Filter: A New Noise Reduction Approach Based on the Slope Facet Model,” Applied Optics, vol. 40, Issue 29, pp.5192-5205, Oct. 2001. (*第一作者指導教授及通訊作者) (SCI 2016 subject categories OPTICS: Impact Factor 1.65, 50/92; 5-year Impact Factor 1.645) NSC-89-2213-E-002-130 (citation times up to 2016: 2)
    97. C.M. Chen, H. H.-S. Lu, and Y.P. Hsu, “Cross-Reference Maximum Likelihood Estimate Reconstruction for Positron Emission Tomography,” Biomedical Engineering-Appl., Basis and Comm., vol. 13, no. 4, pp. 190-198, 2001. (EI) NSC-88-2213-E-002-016 (citation times up to 2013: 1)
    98. C. M. Chen, H. H-S. Lu, K. C. Han. “A Textural Approach Based on Gabor Functions for Texture Edge Detection in Ultrasound Images,” Ultrasound in Medicine and Biology, vol.27, no. 4, pp.515-534, 2001. (SCI 2016 subject categories ACOUSTICS: Impact Factor 2.494, 6/31; 5-year Impact Factor 2.568) NSC89-2213-E-002-187 (citation times up to 2016: 17-1)
    99. C. W. Hsu, Y. Y. Shiau, C. M. Chen, K. C. Chen and H. M. Liu. “Measurement of the Size and Orientation of Human Masseter and Medial Pterygoid Muscles,” Proc. Natl. Sci. Counc. ROC(B), vol. 25, no. 1, pp. 45-49, 2001. (citation times up to 2013: 11)
    100. C. M. Chen and H. H. S. Lu. “An Adaptive Snake Model for Ultrasound Image Segmentation: Modified Trimmed Mean Filter, Ramp Integration and Adaptive Weighting Parameters,” Ultrasonic imaging, vol. 22, no. 4, pp. 214-236, 2000. (SCI 2016 subject categories ACOUSTICS: Impact Factor 1.78, 11/31; 5-year Impact Factor 1.793) NSC-88-2213-E-002-022 (citation times up to 2016: 6)
    101. C. M. Chen, H. H-S. Lu, Y. C. Lin. “An Early Vision Based Snake Model for Ultrasound Image Segmentation,” Ultrasound in Medicine and Biology, vol.26, no. 2, pp.273-285, 2000. (SCI 2016 subject categories ACOUSTICS: Impact Factor 2.494, 6/31; 5-year Impact Factor 2.568) NSC-87-2213-E-002-073
    102. S. K. Chen, C. M. Chen. “High-Resolution Computed Tomography System Using CCD Based Intraoral X-Ray Detector,” Biomedical Engineering-Appl., Basis and Comm., vol. 11, no. 6, pp. 321-327, 1999. (EI) NSC-88-2213-E-002-016 (citation times up to 2013: 0)
    103. C. M. Chen, C. W. Lai, W. D. Liu. “Ultrasound Image Segmentation With Weak Edges: Snake, Contrast Gradient and Connected Component,” Medical and Biological Engineering & Computing, vol. 31, Supplement 2, pp. 1034-1035, 1999. (SCI; 2004 Impact Factor 1.070) NSC-88-2213-E-002-022 (citation times up to 2013: 0)
    104. S. K. Chen, C. M. Chen. “The effect of projection geometry and trabecular texture affecting estimated fractal dimension from two simulated alveolar bone models,” Dentomaxillofac Radiol, vol. 27, pp. 270-274, 1998. (SCI; 2008 Impact Factor 1.173) (citation times up to 2013: 0)
    105. C. M. Chen. “An Efficient Four-Connected Parallel Architecture for 3D PET Image Reconstruction,” Parallel Computing, vol.24, no. 9-10, pp.1499-1522, 1998. (SCI; 2006 Impact Factor 0.685) NSC-84-0420-E-002-003 (citation times up to 2013: 0)
    106. C. M. Chen, H.-S. Lu, Y. C. Lin. “An Evolutionary Snake Model for Ultrasound Image Segmentation: A Preliminary Study,” Biomedical Engineering-Appl., Basis and Comm., vol. 10, no. 2, pp. 110-118, 1998. (EI) NSC-88-2213-E-002-016 (citation times up to 2013: 0)
    107. H. H.-S. Lu, C. M. Chen, and I. H. Yang. “Cross-Reference Weighted Least Square Estimates for Positron Emission Tomography,” IEEE Trans.on Med. Imaging, vol. 17, no. 1, pp.1-8, 1998. (SCI 2016 subject categories COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: Impact Factor 3.942, 9/105; 5-year Impact Factor 4.479) NSC-88-2213-E-002-016 (citation times up to 2016: 7)
    108. C. M. Chen. “Optimizing Nonuniform Data Access Pattern for the EM Reconstruction Algorithm on a Hypercube,” Biomedical Engineering-Appl., Basis and Comm., vol. 9, no. 6, pp. 373-380, 1997. (EI) NSC-88-2213-E-002-016 (citation times up to 2013: 0)
    109. C. M. Chen, Z. H. Cho and C. Y. Wang. “A Fast Implementation of the Incremental Backprojection Algorithms for Parallel Beam Geometries,” IEEE Trans. on Nucl. Sci., vol. 43, no. 6, pp. 3328-3334, 1996. (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.617, 37/127; 5-year Impact Factor 2.932) NSC-84-2213-E-002-023. (citation times up to 2016: 19)
    110. C. M. Chen and C. Y. Wang. “A Parallel Computing Engine for Filtered- Backprojection Image Reconstruction Algorithms,” Chinese Journal of Medical and Biological Engineering, vol. 16, no. 3, pp.231-243, 1996. (SCI 2016 subject categories NUCLEAR SCIENCE & TECHNOLOGY: Impact Factor 1.171, 14/33; 5-year Impact Factor 1.277)NSC-84-2213-E-002-023 (EI) (citation times up to 2016: 19)
    111. S.-Y. Lee and C. M. Chen. "Optimal Hot Spot Allocation on Meshes for Large-Scale Data-Parallel Algorithms," IEEE Trans. Parallel and Distributed Systems, vol. 6, no. 8, pp. 788-802, 1995. (SCI 2016 subject categories COMPUTER SCIENCE, THEORY & METHODS: Impact Factor 4.181, 8/104; 5-year Impact Factor 4.3) (citation times up to 2016: 1)
    112. C. M. Chen and S.-Y. Lee. “Optimal Data Replication: A New Approach to Optimizing Parallel EM Algorithms on A Mesh-Connected Multiprocessor for 3D PET Image Reconstruction,” IEEE Trans. on Nucl. Sci., vol. 42, no. 4, pp. 1235-1245, 1995. (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.617, 37/127; 5-year Impact Factor 2.932) (citation times up to 2016: 3-1)
    113. C. M. Chen, Z. H. Cho and C. Y. Wang. Oct. 1994: "Coded Searching Flow: A Fast Approach to Speeding Up Incremental Backprojection Algorithm," Biomedical Engineering-Appl., Basis and Comm., vol. 6, no. 5, pp. 709-716, (EI) NSC-88-2213-E-002-016 (citation times up to 2013: 0)
    114. C. M. Chen and S.-Y. Lee. Aug. 1994: "On Parallelizing The EM Algorithm for PET Image Reconstruction," IEEE Trans. Parallel and Distributed Systems, vol. 5, No. 6, pp. 860-873.  (SCI 2016 subject categories COMPUTER SCIENCE, THEORY & METHODS: Impact Factor 4.181, 8/104; 5-year Impact Factor 4.3) (citation times up to 2016: 8-2)
    115. C. M. Chen and C. Y. Wang.  March 1994: "Image Reconstruction and Its Applications to The Modern Clinical Diagnosis and Treatment," J. Internal Medicine, R.O.C., vol. 5, No. 1, pp. 49-56. (citation times up to 2013: 17-4)
    116. C. M. Chen. Feb. 1994: "An Inhomogeneous Partitioning Based Parallel EM Algorithm for 3D PET Image Reconstruction," Biomedical Engineering-Appl., Basis, Comm., vol. 6, no. 1, pp. 34-40. (EI) NSC-88-2213-E-002-016 (citation times up to 2013: 0)
    117. C. M. Chen, S.-Y. Lee and Z. H. Cho. Dec. 1991: "Parallelization of The EM Algorithm for 3D PET Image Reconstruction," IEEE Trans.on Med. Imaging, vol. 10, pp. 513-522. (SCI 2016 subject categories COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: Impact Factor 3.942, 9/105; 5-year Impact Factor 4.479) (citation times up to 2016: 41-1)
    118. S.-Y. Lee, J. C. Jacob, C. M. Chen, J. A. McMillan and N. C. MacDonald. 1991: "Proximity Effect Correction in Electron-Beam Lithography: A Hierarchical Rule-Based Scheme -- PYRAMID," J. Vac. Sci. Technol., vol. B9, No. 6, pp. 3048-3053. (SCI; 2006 Impact Factor 1.597) (citation times up to 2013: 13)
    119. C. M. Chen, S.-Y. Lee and Z. H. Cho. "A Parallel Implementation of 3D-CT Image Reconstruction on A Hypercube Multiprocessor," IEEE Trans. on Nucl. Sci., vol. 37, no. 3, pp. 1333-1346, 1990. (SCI 2016 subject categories RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING: Impact Factor 2.617, 37/127; 5-year Impact Factor 2.932) (citation times up to 2016: 29-1)
    120. Z. H. Cho, C. M. Chen and S.-Y. Lee. "Incremental Algorithm - A New Fast Backprojection Scheme for Parallel Beam Geometries," IEEE Trans.on Med. Imaging, vol. 9, pp. 207-217, 1990. (SCI 2016 subject categories COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS: Impact Factor 3.942, 9/105; 5-year Impact Factor 4.479) (citation times up to 2016: 26-1)

  2. Conference Papers

    1. Chun-Yu Huang, Guan-Yu Chen, Li Wei Chen, Ting-Rou Liao, Shun-Mao Yang, Yi-Chang Chen, Mong-Wei Lin, Min-Shu Hsieh, Yeun-Chung Chang, Chung-Ming Chen. CTr-GNN: Graph Neural Network with C/T Ratio and CT-based DL Features for Histopathology Grading Prediction in Lung Adenocarcinoma. The 45th EMBC 2023, July 24-27, 2023, Sydney, Australia.
    2. Ying-Zhen Ye, Hsin-Yi Chen, Chung-Ming Chen, Yu-Fong Chang. Classification of Locally Aggressive Ameloblastoma on Panoramic Dental X ray Images: A Multiple Instance Learning Approach. The 45th EMBC 2023, July 24-27, 2023, Sydney, Australia.
    3. Wei-Chieh Huang, Pin-Yu Yeh, Hsin-I Teng, Tse-Min Lu, Chung-Ming Chen. Detection of OCT with Coronary Artery Calcification: A Deep Learning Approach Exploring Spatial Correlation of Image Features. The 45th EMBC 2023, July 24-27, 2023, Sydney, Australia.
    4. Pei-Yan Li, Yu-Wen Huang, Vincent Wu, Jeff Chueh, Chi-Shin Tseng, Chung-Ming Chen. An Ensemble Approach for Predicting Post-adrenalectomy Clinical Outcomes in Patients with Unilateral Primary Aldosteronism. The 45th EMBC 2023, July 24-27, 2023, Sydney, Australia.
    5. De-Xiang Ou, Chung-Ming Chen, Yan-Ting Lin. A Deep Learning Approach for Detection of Pulmonary Embolism on CTPA Exploring Spatial Correlation of Features Among CT Slices. The 45th EMBC 2023, July 24-27, 2023, Sydney, Australia.
    6. Pei-Yu Chou, Zi-Huan Xu, Shu Yung Lin, Cheng-Yi Wang, and Chung Ming Chen. A Multiple Instance Learning Approach for Differential Diagnosis of PD-L1 Expression for NSCLCs on Thoracic CT Images.The 45th EMBC 2023, July 24-27, 2023, Sydney, Australia.
    7. Ting-Rou Liao, Li-Wei Chen, Ling-Kai Chang, Chun-Yu Huang, Yeun-Chung Chang. Deep-learning based prediction of nodule metastasis in T1-stage lung cancer on computed tomography. The 45th EMBC 2023, July 24-27, 2023, Sydney, Australia.
    8. Chun-Yu Huang, Li-Wei Chen, Guan-Lin Huang, Shun-Mao Yang, Yi-Chang Chen, Mong-Wei Lin, Min-Shu Hsieh, Guan-Yu Chen, Yeun-Chung Chang, Chung-Ming Chen. CT-based radiomics combining the factors of high-grade patterns for histopathology grading prediction in lung adenocarcinoma. The 5th Global Conference on Biomedical Engineering (GCBME), Taipei, Taiwan, Dec. 15-17, 2022. (Student Paper Award)
    9. Chi-Lun Ko Cheng-Wen Huang, Shau-Syuan Lin, Chen-Yu Chang, Chung-Ming Chen, Yen-Wen Wu. Multichannel 3D deep learning model predicts functional improvements in myocardial perfusion imaging after coronary revascularization. The 35th Annual Congress of the European Association of Nuclear Medicine (EANM), Barcelona, Spain , October .15-19, 2022
    10. Yi-Chang Chen, Yen-Te Liu, Wei-Chieh Huang, Chung-Ming Chen. Generating 3D Pulmonary Nodules on Computed Tomography Using Gabor-Loss Generative Adversarial Network. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Scottish Event Campus, Glasgow, UK, July 11-15, 2022.
    11. Chun-Yu Huang, Li-Wei Chen, Guan-Lin Huang, Shun-Mao Yang, Yi-Chang Chen, Mong-Wei Lin, Min-Shu Hsieh, Guan-Yu Chen, Yeun-Chung Chang, Chung-Ming Chen. CT-based radiomics combining the factors of high-grade patterns for histopathology grading prediction in lung adenocarcinoma. The 5th Global Conference on Biomedical Engineering (GCBME), Taipei, Taiwan, Dec. 15-17, 2022. (Student Paper Award)
    12. Chi-Lun Ko Cheng-Wen Huang, Shau-Syuan Lin, Chen-Yu Chang, Chung-Ming Chen, Yen-Wen Wu. Multichannel 3D deep learning model predicts functional improvements in myocardial perfusion imaging after coronary revascularization. The 35th Annual Congress of the European Association of Nuclear Medicine (EANM), Barcelona, Spain , October .15-19, 2022
    13. Yi-Chang Chen, Yen-Te Liu, Wei-Chieh Huang, Chung-Ming Chen. Generating 3D Pulmonary Nodules on Computed Tomography Using Gabor-Loss Generative Adversarial Network. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Scottish Event Campus, Glasgow, UK, July 11-15, 2022.
    14. Wu YW, Ko CL, Lin SS, Huang CW, Chang YH, Chen LW, Ko KY, Chen CM*. Diagnostic performance of stress 201Tl myocardial perfusion imaging by cadmium-zinc telluride SPECT in patients with suspected coronary artery disease using big data and artificial intelligence approaches. 61st Annual Scientific Meeting of the Japanese Society of Nuclear Medicine (JSNM), Nagoya, Japan, Nov 4-6, 2021. (Asian Cardiology Section, Gold Prize)
    15. Li-Wei Chen, Ching-Chia Chuang, Yu-Hsuan Hu, Yi-Chang Chen, Shun-Mao Yang, Mong-Wei Lin, Min-Shu Hsieh, Jin-Shing Chen, Yeun-Chung Chang, Chung-Ming Chen, Small pulmonary nodules detection, surveillance and decision supportive model in low-dose computerized tomography (LDCT)：Longitudinal radiomic analysis and deep convolution generative adversarial network (DC-GAN). Annual Meeting of Taiwanese Society of Biomedical Engineering 2021, Taichung, Taiwan, Nov. 20, 2021.
    16. Pei-Yu Chou, Li-Wei Chen, Ching-Chia Chuang, Yu-Hsuan Hu, Mong-Wei Lin, Shun-Mao Yang, Yi-Chang Chen, Yeun-Chung Chang, Chung-Jen Yu, Shu-Yung Lin, Chung-Ming Chen. Construction of Computer-assisted Immunotherapy Patient Selection and Treatment Decision-making Model for Advanced Non-small Cell Lung Cancers in Pulmonary CT Accounting for The Interaction between The Radiomics Features of Histological Subtypes and PD-L1. Annual Meeting of Taiwanese Society of Biomedical Engineering 2021, Taichung, Taiwan, Nov. 20, 2021.
    17. Cheng-Wen Huang, Shau-Syuan Lin, Li-Wei Chen, Wei-Chieh Huang, Chi-Lun Ko, Shan-Ying Wang, Kuan-Yin Ko, Yen-Wen Wu, Chung-Ming Chen. Combining clinical information and myocardial perfusion single-photon emission tomography to predict the prognosis of coronary heart disease with big data and artificial intelligence technology. Annual Meeting of Taiwanese Society of Biomedical Engineering 2021, Taichung, Taiwan, Nov. 20, 2021.
    18. Yu-Hsuan Lin, Yan-Ting Lin, Yu-Jung Chung, Chuan-Wei Wang, Ho-Feng Chen, Hao-Jen Wang, Chung-Ming Chen and Mong-Wei Lin. CT-based Radiomics Assessment of Thoracic Surgical Strategy: Surgical Risk Evaluation and Pathological Feature Prediction in Early Stage Lung Cancer. 2021 Annual Meeting of Taiwanese Society of Biomedical Engineering, Taichung, Taiwan, Nov. 19-20, 2021.
    19. Ho-Feng Chen, Yu-Hsuan Lin, Hao-Jen Wang, Li-Wei Chen, Yi-Chang Chen, Shun-Mao Yang, Mong-Wei Lin, Chung-Ming Chen and Yeun-Chung Chang. Development of Computed Tomography to Predict the Histopathological Subtypes and EGFR and T790M Mutations of Lung Adenocarcinoma. 2021 Annual Meeting of Taiwanese Society of Biomedical Engineering, Taichung, Taiwan, Nov. 19-20, 2021.
    20. Ai-Su Yang, Hong-Siang Wang, Te-Jung Li, Chin-Hsin Liu, Chung-Ming Chen. DIAGNOSIS OF EARLY GLAUCOMA BASED ON DEEP LEARNING: USING MACULAR OPTICAL COHERENCE TOMOGRAPHY THICKNESS MAP. IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, Apr. 13-16, 2021.
    21. Li-Wei Chen, Chung-Ming Chen, Mong-Wei Lin, Yi-Chang Chen, Min-Shu Hsieh, Shun-Mao Yang, Jin-Shing Chen, Yeun-Chung Chang, Ching-Chia Chuang, Yu-Hsuan Hu. “Small pulmonary nodules detection, surveillance and decision supportive model in low-dose computerized tomography (LDCT)：Longitudinal radiomic analysis and deep convolution generative adversarial network,” The 4th Global Conference on Biomedical Engineering & Annual Meeting of TSBME, Taipei, Taiwan, Nov. 12-14, 2020.
    22. Ho-Feng Chen, Hao-Jen Wang, Chuan-Wei Wang, Yi-Chang Chen, Min-Shu Hsieh, Shun-Mao Yang, Li-Wei Chen, Mong-Wei Lin, Chun-Ming Chen. “CT-based Radiomics Assessment ofThoracic Surgical Strategy: Surgical Risk Evaluation and Pathological Feature Prediction in Early Stage Lung Cancer (Attention M-Net for Automatic Pulmonary Lobe Segmentation),” The 4th Global Conference on Biomedical Engineering & Annual Meeting of TSBME, Taipei, Taiwan, Nov. 12-14, 2020.
    23. Shau-Syuan Lin, Cheng-Wen Huang, Li-Wei Chen, Wei-Chieh Huang, Chi-Lun Ko, Shan-Ying Wang, Kuan-Yin Ko, Chung-Ming Cheng, Yen-Wen Wu. “Combining Clinical Information and Myocardial Perfusion Single-Photon Emission Tomography to Predict the Prognosis of Coronary Heart Disease with Big Data and Artificial Intelligence Technology” The 4th Global Conference on Biomedical Engineering & Annual Meeting of TSBME, Taipei, Taiwan, Nov. 12-14, 2020.
    24. HF Chen, HJ Wang, CW Wang, YC Chen, MS Hsieh, SM Yang, LW Chen, MW Lin, & CM Chen*. “CT-based Radiomics assessment by CNN structure for the prediction of visceral pleural invasion in lung adenocarcinoma patients.” 29th Congress of the Association of the Thoracic and Cardiovascular Surgeons of Asia (ATCSA 2019), Taipei, Taiwan, Oct. 30 – Nov. 3, 2019. (Professor Yung-Chie Lee Memorial Award for Best Oral Presentation Paper)
    25. Hao-Jen Wang, Leng-Rong Chen, Li-Wei Chen, Yi-Chang Chen, Shun-Mao Yang, Mong-Wei Lin, Joseph Chang, Chia-Chen Li, Chia-Yen Lee, Jin-Shing Chen, Yeun-Chung Chang, Chung-Ming Chen. “Discrimination of benign and malignant pulmonary tumors in computed tomography: effective priori information of fast learning network architecture.” SPIE Medical Imaging 2019, San Diego, California, United States, Feb. 16-21, 2019.
    26. Bo-Wei Chen, Li-Wei Chen, Wei-Chieh HUANG, Shun-Mao Yang, Huan-Jang Ko, Huan-Jang Ko, Chung-Ming Chen. "Texture features based prediction model to discriminate ground-glass nodule and bronchoscopic dye marking." 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Venice, Italy, April 8-11, 2019.
    27. Wei-Chieh Huang, Li-Wei Chen, Hao-Jen Wang, Shun-Mao Yang, Mong-Wei Lin, Joseph Chang, Chia-Chen Li, Yeun-Chung Chang, Chung-Ming Chen, Leng-Jung Chen, Yi-Chang Chen, Jin-Shing Chen. "Simulated nodule augmentation (SNA): Generating pulmonary nodule samples by transplanting nodules into normal parenchyma for deep learning-based benign/malignant nodule classification." 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), Venice, Italy, April 8-11, 2019.
    28. Li-Wei Chen, Shun-Mao Yang, Hao-Jen Wang, Mong-Wei Lin, Leng-Rong Chen, Fu-Sheng Hsu, Chia-Chen Li and Chung-Ming Chen, “A competing round-robin prediction model for histologic subtype prediction of lung adenocarcinomas based on thoracic computed tomography,” SPIE Medical Imaging, Houston, Texas, USA, Feb. 10 –15, 2018.
    29. Fu-Sheng Hsu, Cherng-Kang Perng, Hsien-Ming Ding, Yung-Hsiu Chen, Hsin-Ju Yu, Cheng-Che Lu, Yi-Ju Wu and Chung-Ming Chen, “Postoperative free-flap registration and tracking system using robotic arm with embedded camera, ”  IEEE International Symposium on Biomedical Imaging (ISBI’ 15), Washington, DC, USA, April 4-7, 2018.
    30. Hsin-Ju Yu, Cherng-Kang Perng, Hsien-Ming Ding, Fu-Sheng Hsu, Cheng-Che Lu, Yi-Ju Wu and Chung-Ming Chen, “A visible-light real-time monitoring approach for circulatory compromise of free flap after surgery, ” IEEE International Symposium on Biomedical Imaging (ISBI’ 18), Washington, DC, USA, April 4-7, 2018.
    31. Yi-Ju Wu, Cherng-Kang Perng, Cheng-Che Lu, Fu-Sheng Hsu, Hsien-Ming Ding, Hsin-Ju Yu, Bo-Wei Chen and Chung-Ming Chen, “An infrared images monitoring system for thrombosis of free-flap after surgery, ” 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’18), Honolulu, HI, USA, July 17-21, 2018.
    32. Bo-Wei Chen, Joseph Chang, Li-Wei Chen, Shun-Mao Yang, Hao-Jen Wang, Mong-Wei Lin, Leng-Jung Chen, Fu-Sheng Hsu, Chia-Chen Li and Chung-Ming Chen, “Utilize round-robin based prediction model to distinguish prognostic grade scale in adenocarcinoma from computed tomographic, ” 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’18), Honolulu, HI, USA, July 17-21, 2018.
    33. I-Ting Shen, Ai-Su Yang, Yeun-Chung Chang and Chung-Ming Chen, “Longitudinal registration of breast DCE-MRI: a point set approach, ” 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’18), Honolulu, HI, USA, July 17-21, 2018.
    34. Fan-Ya Lin, Ya-Jing Li, Li-Wei Chen, Hao-Jen Wang, Yeun-Chung Chang and Chung-Ming Chen, “Longitudinal Registration for Chest CT Images of Radiotherapy with Radiation Induced Lung Diseases, ” 8th International Workshop on Biomedical Image Registration (WBIR2018), Leiden, The Netherlands, June 28 -29, 2018.
    35. Yi-Chen Lin, Tzung-Dau Wang, Wen-Jeng Lee, Wei-Chun Ko, Wei-Hsin Hung and Chung-Ming Chen, “Determination of the Optimal Projection Angles of Coronary Artery Bifurcation for Stent Placement based on Coronary Computed Tomographic Angiography, ” 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), Jeju Island, Korea, July 11-15, 2017.
    36. Hsin-Ju Yu, Shih-Hung Yang, Han-Min Tseng, Chung-Ming Chen and Shyang-Rong Shih, “Computer-Aided Detection of Acromegaly using Three Dimensional Stereophotography, ” 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), Jeju Island, Korea, July 11-15, 2017.
    37. Fu-Sheng Hsu, Li-Wei Chen, Hao-Jen Wang, Shun-Mao Yang, Mong-Wei Lin, Chia-Chen Li and Chung-Ming Chen, “Segmentation of the Spiculated Lesion and Decomposition of Its Complex Surrounding Structures for Invasive Pulmonary Adenocarcinomas in Thoracic Computed Tomography without Contrast, ” 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), Jeju Island, Korea, July 11-15, 2017.
    38. Ai-Su Yang, Ruo Jhen Lin, Yeun-Chung Chang and Chung-Ming Chen, “A Dual-Spectrum Infrared Imaging Approach for Detection of Breast Cancer Based on Single Visit, ” 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), Jeju Island, Korea, July 11-15, 2017.
    39. Cheng-Chi Lee, Chung-Ming Chen. Comparison of Different Methods in Volumetric Measurement of Pituitary Adenoma and the Clinical Applications/Significance. Congress of Neurological Surgeons Conference, San Diego, California, USA, Sept. 24-28, 2016
    40. Chia-Chen Li, Ya-Jing Li, Cheng-Che Lu, Yeun-Chung Chang, and Chung-Ming Chen*, “A Computer-Aided Algorithm for Ground Glass Nodule Detection in Thoracic Computed Tomography” 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, Florida, USA, August 16-20, 2016.
    41. Wei-Hsin Hong, Tzung-Dau Wang, Wen-Jeng Lee, Wei-Chun Ko, Chung-Ming Chen*, “The Optimal Projection Angles for Coronary Ostial Lesions During Cardiac Catheterization : Minimizing the Overlap Length and the Vessel Foreshortening Ratio,” 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, Florida, USA, August 16-20, 2016.
    42. Cheng-Che Lu, Chung-Ming Chen, Li-Wei Chen, Chia-Chen Li, and Sung-Ching Pan, “An infrared imaging approach for the treatment response assessment of skin and soft tissue infection,” 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, Florida, USA, August 16-20, 2016.
    43. Li-Wei Chen, Chung-Ming Chen, Cheng-Che Lu, Chia-Chen Li, and Kuo-Lung Lor*, “Regional Pattern Merging: A Fast Interactive Segmentation Algorithm on Histopathology Images,” 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16), Orlando, Florida, USA, August 16-20, 2016.
    44. Ming-Jui Chung, Ching-Yen Lee, Yeun-Chung Chang, Chiun-Sheng Huang, Chung-Ming Chen, “The Prediction Model of Neoadjuvant Chemotherapy Response for Breast Cancer Based on The Parametric Dynamics Features of The Pretreatment and Early-Treatment MRI, PET and QDS-IR Images(1/3),” The 2nd Global Conference on Biomedical Engineering, Taipei, Taiwan, Aug.17-19, 2016.
    45. Kuo-Lung Lor, Cheng-Pei Liu, Chong-Jen Yu, Yeun-Chung Chang, Chung-Ming Chen, “Development of Computer-Aided Detection and Diagnosis of Chronic Obstructive Pulmonary Disease (COPD),” The 2nd Global Conference on Biomedical Engineering, Taipei, Taiwan, Aug.17-19, 2016.
    46. Hao-Jen Wang, Kuo-Lung Lor, Chung-Ming Chen, Jin-Shing Chen, Chong-Jen Yu, Yeun-Chung Chang, “Development of computer-aided detection and quantification analysis system for chest low-dose computed tomography,” The 2nd Global Conference on Biomedical Engineering, Taipei, Taiwan, Aug.17-19, 2016.
    47. Ya-Jing Li, Li-Wei, Chen, Yeun-Chung, Chang and Chung-Ming Chen*, “The Correlation Model between the Radiotherapy Response v.s. Genotypes and CT Image Features of Non-Small Cell Lung Cacner–Stage I: Longitudinal Image Registration and Tissue Classification of Radiation Induced Lung Parenchymal Change,” The 2nd Global Conference on Biomedical Engineering, Taipei, Taiwan, Aug.17-19, 2016.
    48. Wei-Hsin Hong, Tzung-Dau Wang, Wen-Jeng Lee, Chung-Ming Chen*, “Determinants and Identification of the Optimal Projection Angles for Coronary Ostia by Analyzing Coronary Computed Tomographic Angiography: Comparison with Conventional Invasive Angiography,” 2016 IEEE International Symposium on Biomedical Imaging, Prague, Czech Republic, April 13-16, 2016.
    49. Cheng-Pei Liu, Chia-Chen Li, Chong-Jen Yu, Yeun-Chung Chang, Cheng-Yi Wang, Wen-Kuang Yu and Chung-Ming Chen, “Correlation analysis between pulmonary function test parameters and CT image parameters of emphysema,” SPIE Medical Imaging, San Diego, California, USA, Feb. 27 –Mar. 3, 2016.
    50. Hao-Jen Wang, Jhih-Hao Lai, Chung-Ming Chen, Chia-Yen Lee “A novel competitive optimal model for longitudinal infrared image registration,” Annual Symposium on Biomedical Engineering and Technology, Taipei, Taiwan, Nov.13-14, 2015. (Best Poster Award in Medical Imaging)
    51. Chia-Chen Li, Hsuan-Yu Huang, Yeun-Chung Chang, Chung-Ming Chen, “Automatic ground glass nodule detection on chest computed tomography,” Annual Symposium on Biomedical Engineering and Technology, Taipei, Taiwan, Nov. 13-14, 2015.
    52. Y.-J. Li ,P.-H. Chen,K.-L. Lor, C.-M. Chen and Y.-C. Chang, “Longitudinal Registration for Chest CT Images Of Radiotherapy,” Annual Symposium on Biomedical Engineering and Technology, Taipei, Taiwan, Nov. 13-14, 2015.
    53. Chi-En Li, Chung-Ming Chen, “A Novel Registration Algorithm for the IR Breast Image System,” Advanced Infrared Technology and Applications Conference, Pisa, Sep. 29 – Oct. 2, 2015.
    54. Chi-En Li, Chung-Ming Chen, “The Automated Marker-Free Longitudinal IR Breast Image Registration Algorithm,” International Union for Physical and Engineering Sciences in Medicine, Toronto, June 7-12, 2015.
    55. Chun-You Liu, Chia-Yun Hsu, Yi-Hong Chou, and Chung-Ming Chen, “A Multi-scale Tumor Detection Algorithm in Whole Breast Sonography Incorporating Breast Anatomy and Tissue Morphological Information,” 2014 Health Innovations and Point-of-Care Technologies Conference, October 8-10, 2014, Seattle, Washington, USA.
    56. Ming-Jui Chung, Pin-Jun Lu, Cherng-Kang Perng, and Chung-Ming Chen, “A Touch-free Infrared thermographic system for Real-time Remote-Monitoring Free Flap Pedicle Thrombosis,” 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'14), Aug. 26-30, 2014, Chicago, Illinois, USA.
    57. Po-Han Chen, Yeun-Chung Chang and Chung-Ming Chen, “A registration approach for correcting respiratory motion in dynamic contrast-enhanced perfusion CT scan for lung nodule analysis,” 2014 World Molecular Imaging Congress conference, Sep 17-20, 2014, Seoul, Korea.
    58. K-L Lor, Y-C Chang and C-M Chen*, “Average Non-local Means Filter for Improving Image Quality Validated by Nodule Quantitative Analysis with Low-Dose Pulmonary Computed Tomography Reconstructed by FBP,” Quantitative CT Imaging of the Lung, Society of Thoracic Radiology, San Antonio, Texas, USA, Mar. 16-19, 2014.
    59. P-H Chen, C-T Lin, K-L Lor, Y-C Chang and C-M Chen*, “Pulmonary Lobe Segmentation of 3D Thoracic CT Images: Adaptive Rolling Ball and Vector-based Surface Deformation,” Quantitative CT Imaging of the Lung, Society of Thoracic Radiology, San Antonio, Texas, USA, Mar. 16-19, 2014.
    60. P-K Hung, C-Y Liu, C-Y Hsu, C-Y Huang, W-J Lee, T-D Wang, C-M Chen*, “Automated coronary artery segmentation and calcified/non-calcified plaque measurement,” 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, July, Las Vegas, United States, July 2013.
    61. P-K Hung, C-Y Liu, C-Y Hsu, C-W Kung, R-Y Tsai, S-J Lin, C-M Chen*, “Quantitative assessment of female pattern hair loss,” 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, July, Las Vegas, United States, July 2013.
    62. P-K Hung, W-J Lee, T-D Wang, C-H Chung, C-M Chen*, “A Fast Automated Coronary Artery Tracking Algorithm with Background Exclusion and Self-Adjusting Region Growing,” 3rd World Congress of Thoracic Imaging, Seoul, Korea, June 2013.
    63. P-K Hung, W-H Hsieh, R-Y Tsai, C-W Kung, H-W Fang, C-M Chen and S-J Lin*, “Quantitative assessment of female-pattern hair loss by estimating the width of a reshaped baldness area,” 7th World Congress for Hair Research, p. 1399, Edinburgh, United Kingdom, May 2013.
    64. Chi-Hsuan Tsou, Yeun-Chung Chang, and Chung-Ming Chen, “Local Lung Anatomy Patterns for Predicting the Malignancy of Lung Nodules,” Third World Congress of Thoracic Imaging, June 8-11, 2013, Seoul, Korea. (Young Investigator Scholarship)
    65. Chi-Hsuan Tsou, Kuo-Lung Lor, Yeun-Chung Chang, and Chung-Ming Chen, “Region-based Graph Cut Using Hierarchical Structure with Application to Ground-Glass Opacity Pulmonary Nodules Segmentation,” Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866906 (March 13, 2013) San Diego, CA, USA.
    66. Yu-Tzu Lee, Chi-Hsuan Tsou, Yeun-Chung Chang, and Chung-Ming Chen, “An Automated Method for Registration and Perfusion Analysis of Pulmonary CT Data for Evaluating Response to Radiotherapy in Patient with Non Small Cell Lung Cancer,” Proc. SPIE. 8672, Medical Imaging 2013: Biomedical Applications in Molecular, Structural, and Functional Imaging 86721X (March 29, 2013) San Diego, CA, USA.
    67. Hsuan-Yu Huang , Yeun-Chung Chang ,and Chung-Ming Chen, “An Efficient Algorithm for Pulmonary Ground-Glass Nodules Detection on 3D Thoracic CT Images,” Third World Congress of Thoracic Imaging, June 8-11, 2013, Seoul, Korea. (Best Scientific Exhibition Award) (Young Investigator Scholarship)
    68. Kuo-Lung Lor,  Yeun-Chung Chang, and Chung-Ming Chen, “Average Non-local Means Filter for Improving Nodule Diagnostic Image Quality with Low-Dose Pulmonary Computed Tomography,” Third World Congress of Thoracic Imaging, June 8-11, 2013, Seoul, Korea. (Young Investigator Scholarship)
    69. Ya-Hsuan Chang, Chung-Ming Chen and Hsuan-Yu Chen. The pathway-based signature for childhood acute lymphoblastic leukemia.In: 72nd Annual Meeting of the Japanese Cancer Association, Yokohama, Japan, 2013.
    70. Ya-Hsuan Chang, Chung-Ming Chen and Hsuan-Yu Chen. Pathway-based approach for biomarker selection. In: Proceedings of the 26th Symposium of Japanese Society of Computational Statistics with 2012 IASC-ARS Sessions, Tokyo, Japan, 2012.
    71. K.-L. Lor, C.-H. Tsou, Y.-C. Chang, C.-M. Chen, “Spring Structural Active Contour Model With Application to Automated Three-Dimensional Airway Wall Segmentation,” Medical Imaging 2012, July 26-28, Amsterdam, Netherlands.
    72. K.-L. Lor, C.-M. Chen, “Probabilistic Model Based Evaluation of Coronary Artery Stenosis on Computed Tomography Angiography,” MICCAI 2012, Oct 1-5, Nice, France.
    73. S.-T. Chen, C.-Y. Huang, C.-M. Chen, “Automatic Segmentation of Coronary Arteries based on Region Growing and Discrete Wavelet Transformation,” IEEE Computer Society, 2012 computing, measure, control and sensor network, July 7-9, Taiyuan, China.
    74. S.-T. Chen, C.-M. Chen, W.-M. Kung, H.-Y. Huang, H.-N. Huang, and H.-H. Yeh, “Automatic 3D Vessel Trees Matching in Thoracic CT Scans,” IEEE Computer Society ,2012 computing, measure, control and sensor network, July 7-9, Taiyuan, China.
    75. C.-Y. Lee, Z.-W. Chang, W.-J. Lee, C.-Y. Lee, S.-C. Lee, C.-S. Huang, Y.-C. Chang, C.-M. Chen, “Longitudinal registration for breast IR image without markers,” Quantitative Infrared Tomography 2012, June 11-14, Napoli, Italy.
    76. C.-H. Wu, H.-G. Hwu, C.-M. Liu, C.-C. Liu, C.-M. Chen, and W.-Y. Isaac Tseng, "Diffusion Spectrum Imaging Tractography Study of Ventral and Dorsal Pathways for Language in Schizophrenia," ISMRM 20th annual meeting, May 5-11, 2012, Melbourne, Australia.
    77. J.-Z. Cheng, C.-M. Chen, D. Shen, “Identification of breast vascular calcium deposition in digital mammography by linear structure analysis,” International Symposium on Biomedical Imaging, May 2-5, 2012, Barcelona, Spain.
    78. C.-Y. Tsou, Y.-C. Chang, C.-M. Chen," Quantitative Evaluation of Five Semi-Automatic Lung CT Nodule Segmentation Techniques," Quantitative CT Imaging of the Lung 2012, March 10, Hyatt Regency Huntington Beach Huntington Beach, California, USA.
    79. H.-Y. Huang, Y.-C. Chang, C.-M. Chen, “Nodules Detection in Pulmonary Vessels on 3D Thoracic CT Images: A Morphological Dynamics Approach,” Quantitative CT Imaging of the Lung 2012, March 10, Hyatt Regency Huntington Beach, California.
    80. C.-Y. Lee, C.-S. Huang, Y.-C. Chang, Y.-H. Chou, C.-M. Chen, “Intensity inhomogeneity-corrected breast sonograms segmentation: fuzzy cell-based clustering and polynomial surface modeling,” International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2012, February 24-26, Roma, Italy.
    81. C.-C. Chuang, I.-J. Chiang, T.-H. Lan, C.-M. Chen, Y.-S. Hsieh, C.-Y. Wang, C.-P. Lin and C.-W. Sun*, “Discriminant analysis of functional near-infrared imaging for schizophrenia diagnosis,” Bios 2012, Photonics West, San Francisco, USA, January 2012.
    82. C.-C. Chuang, T.-H. Lan, C.-M. Chen, Y.-S. Hsieh, C.-Y. Wang, C.-P. Lin and C.-W. Sun*, “Near-infrared brain volumetric imaging for neurodegenerative diseases diagnosis: a feasibility study based on Monte Carlo simulation,” Bios 2012, Photonics West, San Francisco, USA, January 2012.
    83. S.-P. Lee and C.-M. Chen, “Two Types of Wild Bootstrap to Quantify Uncertainty Based on CSD and QBI,” RSNA 2011, McCormick Place, Chicago, USA, Nov. 27 - Dec. 2, 2011.
    84. C.-C. Chuang, C.-Y. Lee, C.-M. Chen, Y.-S. Hsieh, C.-Y. Wang, and C.-W. Sun, “Monte Carlo simulation for cerebral structure detection by using diffuse optical imaging,” ECBO 2011, European Conferences on Biomedical Optics, Munich, Germany, May 2011.
    85. Shiou-Ping Lee and Chung-Ming Chen, “Two Types of Wild Bootstrap to Quantify Uncertainty Based on CSD and QBI,” RSNA 2011, McCormick Place, Chicago, USA, Nov. 27 - Dec. 2, 2011.
    86. Shiou-Ping Lee and Chung-Ming Chen, “Residual Bootstrap to Evaluate Uncertainty Fiber Orientations On Q-ball and Constrained spherical deconvolution study,” In Proceeding of Annual Meeting of ECR, Viena, Austria, March 3-7, 2011.
    87. Y. T. Lee, Y. C. Chang and C. M. Chen, “Non-rigid Registration of Breast Dynamic Contrast-enhanced MRI Using the Fluid Transformation and Thin Plate Spline Model,” The International Forum on Medical Imaging in Asia, Jan 18-19, 2011, Tenbusu Naha, Okinawa, Japan.
    88. C. H. Tsou, Y. C. Lu, A. Yuan, Y. C. Chang, J. H. Chen and C. M. Chen, “A Histology Image Segmentation Algorithm Combining Graph Partitioning Active Contours and Local Structural Information,” The International Forum on Medical Imaging in Asia, Jan 18-19, 2011, Tenbusu Naha, Okinawa, Japan.
    89. Ching-Cheng Chuang, Chung-Ming Chen, Yao-Sheng Hsieh, Chun-Yang Wang, and Chia-Wei Sun*, “Study on the early diagnosis of Alzheimer's disease with near-infrared spectroscopy based on three-dimensional Monte Carlo modeling,” Bios 2011, Photonics West, San Francisco, USA, January 2011.
    90. Ching-Cheng Chuang, Chung-Ming Chen, Yao-Sheng Hsieh, Chun-Yang Wang, and Chia-Wei Sun*, “Study on diffuser-aided diffuse optical tomography for breast imaging based on three-dimensional Monte Carlo modeling,” Bios 2011, Photonics West, San Francisco, USA, January 2011.
    91. Ching-Cheng Chuang, Chia-Yen Lee, Chung-Ming Chen, Yao-Sheng Hsieh, Chun-Yang Wang, and Chia-Wei Sun, “Monte Carlo simulation for cerebral structure detection by using diffuse optical imaging,” ECBO 2011, European Conferences on Biomedical Optics, Munich, Germany, May 2011.
    92. Ching-Cheng Chuang, Chung-Ming Chen, Jui-che Tsai, Chih-Wei Lu, and Chia-Wei Sun*, “Study on dynamics of photon migration in human breast based on three-dimensional Monte Carlo modeling,” Bios 2010, Photonics West, San Francisco, USA, January 2010.
    93. Ching-Cheng Chuang, Chung-Ming Chen, Yao-Sheng Hsieh, Chun-Yang Wang, Po-Lei Lee, Chih-Wei Lu, and Chia-Wei Sun*, “Study on human breast imaging by use of three-dimensional Monte Carlo modeling,” XII International Conference on Laser Applications in Life Sciences (LALS-2010), Oulu, Finland, June 2010.
    94. K. Hung, J. C. Wang, C. W. Chen, C. L. Chuang, K. N. Tsai, C. M. Chen, “Structure Alignment of Proteins with Low Sequence Identity Based on Encoded Local Structure Alphabets,” In Hunter, L. (ed), The 8th Annual Rocky Mountain Bioinformatics Conference. International Society for Computational Biology, Aspen/Snowmass, Colorado, pp. 64-65, 2010.
    95. C. H. Tsou, J. Z. Cheng, J. Y. Chen, and C. M. Chen, “Spectral Aggregation Based on Iterative Graph Cut for Sonographic Breast Image Segmentation,” 5th International Workshop on Medical Imaging and Augmented Reality, Sep. 19-20, 2010, Beijing, China.
    96. C. Y. Lee, Z. W. Chang, C. C. Chuang, W. J. Lee, C. Y. Lee, S. C. Lee, C. S. Huang, Y. C. Chang, C. M. Chen, “Quantitative dual-spectrum infrared approach for breast cancer detection,” Quantitative Infrared Tomography 2010, July 27-30, Quebec City, Quebec, CANADA.
    97. H. H. Chiang, J. Z. Cheng, P. K. Hung, C. Y. Liu, C. H. Chung, C. M. Chen, “Cell-based graph cut for segmentation of 2D/3D sonographic breast images,” 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, April 14-17, 2010, Rotterdam, The Netherlands
    98. C. Y. Lee, C. S. Huang, Y. C. Chang, Y. H. Chou, C. M. Chen, “Intensity inhomogeneity correction for breast sonograms: constrained fuzzy cell-based partition and polynomial surface modeling,” European Society of Radiology 2010, March 4-8, Vienna, Austria.
    99. 洪培凱、劉俊佑、江昕鴻、鍾政宏、陳中明。以區域單元為基礎之二維/三維乳房超音波影像圖形切割演算法。中華民國九十八年度生物醫學工程科技研討會。
    100. 李佳燕、李婉柔、張哲瑋、李京燕、李嗣涔、黃俊升、張允中、陳中明。定量型雙波段紅外線系統:化療效果評估。中華民國九十八年度生物醫學工程科技研討會。
    101. K. Hung, J. C. Wang, K. N. Tsai, C. W. Chen, C. M. Chen, “A Fast Approach to Protein Structure Alignment Based on One-dimensional Alphabet Code,” 7th Annual Rocky Mountain Bioinformatics Conference, Dec. 10-12, 2009, Aspen/Snowmass, Colorado, USA.
    102. C. M. Chen, C. Lee, C.-L. Chuang, C.-C. Wang and G.S. Shieh, “Inferring Genetic Interactions via A Nonlinear Model and GASA,” 2nd International Conference on BioMedical Engineering and Informatics, Tianjin, China, Oct. 17-19, 2009.
    103. H. C. Hsieh, W. Y. Hsieh, C. M. Chen, F. H. Lin, “Polyethylene glycol coated SPIO nanoparticles to distinguish cells for intracellular labeling,” European Society for Magnetic Resonance in Medicine and Biology 2009 Congress, Antalya, TR, October, 2009
    104. Y. C. Chang, C. H. Yang, C. J. Yu, H. H. Hsu, C. M. Chen, W. Y. Tseng, P. C. Yang, “MR perfusion in evaluating treatment response of chemotherapy in advanced non-small cell lung cancer,” 2nd World Congress Of Thoracic Imaging and Diagnosis In Chest Disease, May 30-June 2, 2009, Valencia, Spain.
    105. S-P. Lee, J-D. Tournier, C-P. Hess, C. M. Chen, and W-Y. I. Tseng, A comparative study between 4 optimal DWI gradient sampling schemes: simulations based on constrained spherical deconvolution (CSD)," ISMRM 2009, Honolulu, Hawaii, USA.
    106. C. N. Chi, C. M. Chen, “Automatic Detection of Fat and Muscle Layers in A Breast Sonogram: First Step Toward Automatic Lesion Detection,” 1st International Symposium on Automated Whole Breast Ultrasound, June 13-14, 2009, Taipei, Taiwan, Invited Talk.
    107. S-P. Lee, K-L. Wang, C. M. Chen, and W-Y. Tseng, “Using BCP Index to Evaluate Coregistration Methods in Existing SPM2,” ISMRM 2008, Toronto, Ontario, Canada.
    108. S-P. Lee, J. D. Tournier, C. P. Hess, L. W. Kuo, C. M. Chen, W. Y. Tseng, "A Comparative Study Between Constrained Spherical Deconvolution and Deconvolution Sharpening Transformation on High Angular-Resolution Diffusion Imaging," HBM 2008, Melbourne, Australia.
    109. S-P. Lee, J. Z. Cheng, C. M. Chen, W. Y. I. Tseng, " An Automatic Segmentation Approach for Boundary Delineation of Corpus Callosum Based on Cell Competition," EMBC 2008, Vancouver, British Columbia, Canada.
    110. S. W. Zhang and C. M. Chen. “Level Set Method with Cell Structure and Graph Partition Prior for Boundary Delineation of Biomedical and Molecular Images,” Bilateral workshop on Diagnostic Imaging - Taiwan Italy-CNR, September 15-16, 2008, Anacapri - Villa Orlandi, Italy. Invited Talk
    111. 李佳燕、陳中明。乳房超音波影像分割:模糊區域單元競爭和修正偏移場。中華民國九十七年度生物醫學工程科技研討會。（壁報論文競賽特優論文獎）
    112. 鄒奇軒、陳中明、陳志宏。疊代式特徵映射聚集之超音波影像分割演算法。中華民國九十七年度生物醫學工程科技研討會。（口頭報告論文佳作）
    113. C. Y. Lee, H. Y. Hsieh, S. C. Lee, C. S. Huang, Y. C. Chang, C. M. Chen, H. Szu. “Spatiotemporal sharpening of sub-pixel super-resolution by means of two infrared spectrum cameras for early cancer detection,” Proceedings of SPIE 2008, vol. 6979.
    114. J. Z. Cheng,  K. W. Chen, Y. H. Chou, C. M. Chen, “Cell-based image partition and edge grouping: a nearly automatic ultrasound image segmentation algorithm for breast cancer computer-aided diagnosis,” SPIE Medical Imaging 2008, Feb. 16-21, 2008, San Diego, CA, USA.
    115. C. Y. Lee, C. C. Hsieh, Chung-Ming Chen, “Segmentation of sonographic breast lesions: fuzzy cell-competition algorithm and bias field reduction,” SPIE Medical Imaging 2008, Feb. 16-21, 2008, San Diego, CA, USA.
    116. 李佳燕、謝欣郁、李婉柔、李京燕、李嗣涔、黃俊升、張允中、陳中明、斯華齡。雙波段紅外線乳癌診斷系統。中華民國九十六年度生物醫學工程科技研討會。（壁報論文競賽傑出論文獎）
    117. 張俊傑、李建豪、陳中明。電腦斷層掃描冠狀動脈影像分割與斑塊體積估計演算法之研究。中華民國九十六年度生物醫學工程科技研討會。
    118. C. L. Chuang, C. M. Chen and G. S. Shieh, “A Pattern Recognition Approach to Infer Genetic Networks from Microarray Data,” accepted by 56th Session of the International Statistical Institute, Lesbian, Portugal, Aug. 22-29, 2007.
    119. C. L. Chuang, C. M. Chen, G. S. Shieh and J. A. Jiang, “A Neuro-Fuzzy Inference System to Infer Gene-Gene Interactions Based on Recognition of Microarray Gene Expression Patterns,”  2007 IEEE Congress on Evolutionary Computation, Singapore, Sept. 25-28, 2007.
    120. C. L. Chuang and C. M. Chen, "A Novel Region-based Approach for Extracting Brain Tumor in CT Images with Precision," in Proceedings of the 2006 World Congress on Medical Physics and Biomedical Engineering, Seoul, Korea, Aug. 27-Sept. 1, 2006.
    121. C. L. Chuang and C. M. Chen, "A Novel Image Segmentation Algorithm in Partitioning of Coronary Artery," in Proceedings of the 2006 World Congress on Medical Physics and Biomedical Engineering, Seoul, Korea, Aug. 27-Sept. 1, 2006.
    122. C. L. Chuang, C. M. Chen and G. S. Shieh, "A Hybrid Algorithm to Infer Genetic Networks," in Proceedings of the 13th International Conference on Neural Information Processing, Hong Kong, Oct. 3-6, 2006.
    123. S.W. Zhang,C.M. Chen,"Combining Level Set method and Cell Competition boundaries information in ultrasound images segmentation," 2006 International Symposium on Biomedical Engineering, Taiwan, Dec.14-16, 2006, Taipei, Taiwan.
    124. C. M. Chen and Y. H. Chou. “A CAD system for sonographic breast lesions with a nearly automatic segmentation algorithm,” Forum on Integrated Biomedical Technologies: 2006 International Workshop on CAD Taiwan, Nov. 20-21, 2006, Taipei, Taiwan. Invited Talk.
    125. C. M. Chen and C. B. Yen. “A spleen-referenced CAD algorithm for diagnosis of liver cirrhosis based on sonographic echo texture,” BMES 2006 Conference, Oct. 11-14, Chicago, IL, U.S.A.
    126. C.H. Lin, L.J. Leu, Y.Y. Yu, C.M. Chen, S.K. Chen, L. Hollender, "The effect of projection geometry on detecting simulated changes of trabecular bone by fractal dimensions and subtraction" American Academy of Oral & Maxillofacial Radiology 57th Annual Session, Nov. 15-19, 2006, Kansas City, USA.
    127. Y.Y Yu, H. Chen, C.H. Lin, C.M. Chen, T. Oviir, S.K. Chen, "Digital imaging analysis with mathematical morphology and box counting for  evaluation of reactive bone following endodontic treatment" American Academy of Oral & Maxillofacial Radiology 57th Annual Session, Nov. 15-19, 2006, Kansas City, USA.
    128. K. N, Tsai, T. Y, Tsai, and C. M, Chen, “Deciphering gene regulatory pathways in the host response to enterovirus 71 infection,” 2006 International Symposium on Biomedical Engineering, Taiwan, Dec.14-16, 2006, Taipei, Taiwan.
    129. K. N, Tsai, T. Y, Tsai, E. C, Chen, and C. M, Chen, “The integrated pathway and microarray resources for deciphering the biological hotspots,” RECOMB Satellite Conferences, Dec. 1-3, 2006, San Diego, USA.
    130. W. F, Wang, C. M. Chen, "A divide-and-conquer approach to reconstructing genetic network based on independent component analysis.", 2006 International Symposium on Biomedical Engineering, Taiwan, Dec.14-16, 2006, Taipei, Taiwan.
    131. 李健豪、吳旻鴻、謝欣郁、陳中明，"基於等時性演化之區域單元競爭演算法" 中華民國九十五年度生物醫學工程科技研討會
    132. J.Z. Cheng, C. M. Chen, Y.H. Chou, "Cell-based Two-region Competition Algorithm with A MAP Framework for Boundary Delineation of A Series of 2D Ultrasound Images",中華民國九十五年度生物醫學工程科技研討會（壁報論文競賽生醫資訊組之特優論文獎）。
    133. J.Z. Cheng, Y.H. Chou, C.M. Chen, "A Cell-Based Graph-Traversing Approach for Boundary Detection of Sonographic Breast Lesions," The 11'th Congress of  the World Federation for Ultrasound in Medicine & Biology, May 28-June 1, 2006, Seoul, South Korea.
    134. J. Z. Cheng, C. Y. Lee, C. M. Chen. "Regularized cell competition algorithm for boundary delineation in a series of 2D sonograms," 3rd European Medical & Biological Engineering Conference, Nov. 20-25, 2005, Prague, Czecj Republic.
    135. W. F, Wang, C. M. Chen, Y. Y. Fang, C. C. Huang, "Gene network reconstruction with latent factors based on independent component analysis," 3rd European Medical & Biological Engineering Conference, Nov. 20-25, 2005, Prague, Czecj Republic.
    136. Y. C. Liu, C. M. Chen, "A comparative study on dynamic bayesian networks based on state space models for gene network reconstructions," 3rd European Medical & Biological Engineering Conference, Nov. 20-25, 2005, Prague, Czecj Republic.
    137. Woei-Fuh Wang, Chung-Ming Chen, “Estimating Network Topology and Latent Factors in A Gene Network Based on Independent Component Analysis,” Joint Annual Meetings of The 37th Symposium on the Interface: Computing Science and Statistics and the Classification Society of North America, June 8-12, 2005, St. Louis, Missouri, USA. Invited Talk.
    138. Ching-Yun Yu, Chung-Ming Chen, Juiling Huang, Grace S. Shieh, “Using Covariance Structure Models to Reconstruct Gene Networks,” The 55th Session of International Statistical Institute, April 5-12, 2005, Sydney, Australia. Invited Talk.
    139. Shu-Hung Lin, Kun-Nan Tsai, Chung-Ming Chen, “Genomic Splicing Sites Prediction Algorithm Based on Nucleotide Sequence Pattern,” The Ninth Annual International Conference on Research in Computational Molecular Biology, May 14-18, 2005, Cambridge, MA, USA.
    140. C. M. Chen, “Computer-Aided Differential Diagnosis of Sonographic Breast Lesions with Nearly Setting-Independent Features”, First French Taiwanese Conference in Information Technologies, April 14-16, 2004, Paris, France. Invited Talk.
    141. S. L. Wang, C. M. Chen, and M. J. Hwang, “Training Hidden-Markov Models on Sequences of Local Structural Alphabets for Protein Fold Assignment”, The eighth annual international conference on Research in Computational Molecular Biology, March 27-31, 2004, San Diego, CA, USA.
    142. 林書鴻、施信如、蔡昆男、陳暘文、陳中明，“基於核苷酸序列樣式之基因剪接位置預測演算法” 中華民國九十三年度生物醫學工程科技研討會。（壁報論文競賽優等獎）
    143. Yen-Fu Ou, Jie-Zhi Cheng, Chung-Ming Chen, “A Septa-Preserving Cell Competition Algorithm for Boundary Delineation of Sonographic Breast Lesions,” Conference on Biomedical Engineering Technology, 2004, Taipei, Taiwan.
    144. T. T. Soong, M. J. Hwang, C. M. Chen*. “Automatic Discovery of Recurrent Local Structures for Approximating Three-Dimensional Protein Molecules”, 4th East Asian Biophysics Symposium (4th EABS), Nov. 2003, Taipei, Taiwan.
    145. 李秀萍、陳中明、翁駿程、曾文毅，“以擴散張量磁振造影術重建大腦白質神經纖維束圖像”中華民國九十二年度生物醫學工程科技研討會。
    146. 洪恩慧、陳中明、周宜宏，“乳房腫瘤超音波影像之電腦輔助診斷：幾近不受系統參數設定影響之區域性影像特徵擷取”中華民國九十二年度生物醫學工程科技研討會。
    147. 蕭安廷、陳博量、陳中明、周宜宏，“區域單元競爭演算法：超音波影像多目標物分割技術”中華民國九十二年度生物醫學工程科技研討會。
    148. A.T. Hsiao and C.M. Chen, “Cell Competition Algorithm For Ultrasound Image Segmentation Of Multiple Targets,” World Congress on Medical Physics and Biomedical Engineering, August 24-29, 2003, Sydney, Australia.
    149. C. M. Chen, H. C. Huang, J. Y. Chen, S. D. Wang, “Adaptive Ultrasonic Speckle Reduction Based on the Slope Facet Model,” World Congress on Medical Physics and Biomedical Engineering, August 24-29, 2003, Sydney, Australia.
    150. Y. C. Liu, F. Z. Shieh, J. N. Chen, S. R. Shieh, C. M. Chen, “Extracting Characteristic Genes That Determine the Vascularity Index of A Tumor Based on cDNA Microarrays,” World Congress on Medical Physics and Biomedical Engineering, August 24-29, 2003, Sydney, Australia.
    151. 劉諭承、謝豐舟、陳炯年、謝叔蓉、陳中明，“從cDNA 微陣列晶片中探勘決定腫瘤血管指數之特徵基因” 中華民國九十一年度生物醫學工程科技研討會（壁報論文競賽生物資訊與生物科技類組之特優獎）。
    152. 許淑雅、楊培銘、李睦方、陳中明，“肝硬化超音波影像之電腦輔助診斷：幾近不受參數設定影響之影像特徵擷取” 中華民國九十一年度生物醫學工程科技研討會。
    153. Jun-Cheng Weng, Chung-Ming Chen, Wen-Yih Isaac Tseng, Ching-Po Lin, Jyh-Horng Chen, “A Global Approach for Non-invasive Axonal Fiber Tracking on Diffusion Tensor Magnetic Resonance Image”, Proc 10th ISMRM Annual Meeting, No. 1133, Hawaii, U.S.A., 2002.
    154. Jun-Cheng Weng, Wen-Yih Isaac Tseng, Ching-Po Lin, Li-Wei Guo, Chung-Ming Chen, Jyh-Horng Chen. “Mapping microstructures in carrot and spinal cord of rats with q-space diffusion MRI,” Conference on Biomedical Engineering Technology, 2001, 120-123, Taipei, Taiwan.
    155. Jun-Cheng Weng, Chung-Ming Chen, Ching-Po Lin, Wen-Yih Isaac Tseng, Jyh-Horng Chen. “Non-invasive Axonal Fiber Tracking on Diffusion Tensor Magnetic Resonance Image,” Conference on Biomedical Engineering Technology, Taipei, Taiwan, 2001; 135-138.
    156. C.M. Chen. “Computer-Aided Diagnosis for Breast Lesion Based on Ultrasound Images,” International Conference SSGRR2001 on Advancing in Infrastructure for Electronic Business, Science, and Education on the Internet, Aug. 6-12, 2001, L’Aquila, Italy. Invited Talk.
    157. C. M. Chen and Y. H Huang. “Sonographic Tumor Boundary Detection for Image-Guided Brain Surgery,” 5th World Multiconference on Systemics, Cybernetics and Informatics, July 22-25, 2001, Orlando, Florida, U.S.A. Invited Talk.
    158. H. H. S. Lu, C. M. Chen, and J. S. Wu. “Statistical Analysis of Liver Cirrhosis in Ultrasound Images by Fractal Dimension, Dimension Reduction and Classification Trees,” 5th World Multiconference on Systemics, Cybernetics and Informatics, July 22-25, 2001, Orlando, Florida, U.S.A. NSC89-2213-E-002-044
    159. C. M. Chen. “Quantitative Ultrasound Image Analysis: Image Segmentation and Tissue Characterization,” NHRI Conference on Science and Technology in Biomedical Electronics 2000, Taoyuan, Taiwan. Invited Talk. NSC-88-2213-E-002-022
    160. C.M. Chen, H.S. Lu. “An Adaptive Snake Model for Ultrasound Image Segmentation: Modified Trimmed Mean Filter, Ramp Integration and Adaptive Weighting Parameters,” World Congress on Medical Physics and Biomedical Engineering 2000, Chicago, U.S.A. NSC-88-2213-E-002-022
    161. C.W. Lai, C.M. Chen. 2000: “Computer Assisted Diagnosis of Diffuse Parenchymal Liver Diseases On Ultrasound Images with the Reference to the Self-Organs,” World Congress on Medical Physics and Biomedical Engineering 2000, Chicago, U.S.A. NSC89-2213-E-002-044
    162. C.M. Chen, H.C. Huang. 2000: “Adaptive Speckle Reduction Based On Wavelet Analysis and Symmetric Region Growing,” World Congress on Medical Physics and Biomedical Engineering 2000, Chicago, U.S.A. NSC-89-2213-E-002-130
    163. C. M. Chen, C. W. Lai, W. D. Liu. “Ultrasound Image Segmentation With Weak Edges: Snake, Contrast Gradient and Connected Component,” European Medical & Biological Engineering Conference 1999, Vienna, Austria. NSC-88-2213-E-002-022
    164. C. M. Chen. “A Discrete Snake Model for Automatic Segmentation of Ultrasound Images with Weak Edge Definition,” AFSUMB’98, 1998, Taipei, Taiwan. NSC-87-2213-E-002-073
    165. C. M. Chen, H. H.-S. Lu and Y. L. Chen. Dec. 1998: “A Discrete Region Competition Approach Incorporating Weak Edge Enhancement for Ultrasound Image Segmentation,” International Computer Symposium 1998, Tainan, Taiwan. NSC-87-2213-E-002-073
    166. C. M. Chen, H. H.-S. Lu and Y. C. Lin. “A New Ultrasound Image Segmentation Algorithm Based on an Early Vision Model and Discrete Snake Model,” SPIE International Symposium on Medical Imaging 1998, San Diego, California, U.S.A. NSC-87-2213-E-002-073
    167. C. B. Lin, C. M. Chen and S. Su. “A Computational Early Vision Model for Segmentation of Clinical Ultrasound Images,” 19th Annual International Conference of the IEEE EMBS 1997, Chicago, Illinois, U.S.A. NSC-86-2213-E-002-056
    168. C. M. Chen and C. B. Lin. “Ultrasound Image Segmentation Based on an Early Vision Model,” World Congress on Medical Physics and Biomedical Engineering 1997, Nice, France. NSC-86-2213-E-002-056
    169. C. M. Chen and Cheng-Yi Wang. “An Efficient Parallel Architecture for 3D PET Image Reconstruction,” The Third International Conference on Signal Processing (ICSP'96), 1996, Beijing, China. NSC-84-0420-E-002-003
    170. H. H.-S. Lu and C. M. Chen. “Cross-Reference Reconstruction Method for PET,” The 3rd Asian-Pacific Conference on Medical and Biological Engineering 1996, Taipei, Taiwan. Invited Talk.
    171. C. M. Chen, Z. H. Cho and C. Y. Wang. “A Fast Implementation of the Incremental Backprojection Algorithms for Parallel Beam Geometries,” IEEE Medical Imaging Conference 1995, San Francisco, California, U.S.A. NSC-84-0420-E-002-003

  3. Books and Chapter in Book

    1. 陳中明，1995:”醫學影像”第十一章，醫學工程原理與應用
    2. C.M. Chen, 1993, On Minimizing Data Sharing Overhead for Large-Scale Data-Parallel Algorithms: Replication and Allocation of Shared Data. Ph.D. Dissertation, Cornell University, Ithaca, New York, U.S.A.
    3. C.-L. Chuang, C.-M. Chen, and J.-A. Jiang, “Infer Genetic / Transcriptional Regulatory Networks by Recognition of Microarray Gene Expression Patterns using Adaptive Neuro-Fuzzy Inference Systems,” Fuzzy Systems in Bioinformatics, Bioengineering and Computational Biology (Editor: Yaochu Jin and Lipo Wang), Springer, 2009. (ISBN 978-3-540-89967-9)
    4. J. Z. Cheng, Y. H. Chou, C. M. Chen. “Computer-Aided Diagnosis of Breast Lesions on Sonograms: Automatic Boundary Delineation and Nearly Setting-Independent Morphological Features,” Chapter 22, Performance Evaluation in Breast Imaging, Tumor Detection and Analysis, edited by E.Y.K. Ng, R. Acharya U, and J.S. Suri, American Scientific Publishers, 2009.

  4. Technological transfer and others

    技術名稱

    授權單位

    被授權單位

    簽約日期

    計畫編號

    肺癌電腦斷層掃描電腦輔助偵測與診斷系統之開發(1/3)

    國立台灣大學

    中興電工機械股份有限公司

    2010/02至2017/02

    98-2622-E-002-032-CC2

    肺癌電腦斷層掃描電腦輔助偵測與診斷系統之開發(2/3)

    國立台灣大學

    中興電工機械股份有限公司

    2010/12至2017/12

    99-2622-E-002-011-CC2

    肺癌電腦斷層掃描電腦輔助偵測與診斷系統之開發(3/3)

    國立台灣大學

    中興電工機械股份有限公司

    2011/12至2018/12

    100-2622-E-002-005-CC2

    肺癌精準醫 療平台LibraLung+: 從輔助放射 診斷、手術切除與標靶治療層面進行LibraLung 的軟體模塊加值(1/3)

    國立台灣大學

    睿傳數據股份有限公司

    2022/11至2029/10

    111-2622-E-002-040-

  5. Patents

    1. C.-M. Chen, S.-C. Lee, W.-J. Lee, C.-W. Chang, Y.-C. Chien, C.-Y. Lee, “Dual-spectrum heat pattern separation algorithm for assessing chemotherapy treatment response and early detection,” USA patent (US 8295572 B2) Date of patent: 2012/10/23.
    2. C.-M. Chen, S.-C. Lee, W.-J. Lee, C.-W. Chang, Y.-C. Chien, C.-Y. Lee, “Dual-spectrum heat pattern separation algorithm for assessing chemotherapy treatment response and early detection,” USA patent (US 8582852 B2) Date of patent: 2013/11/12.
    3. C.-M. Chen, S.-C. Lee, W.-J. Lee, C.-W. Chang, Y.-C. Chien, C.-Y. Lee, “A longitudinal image registration algorithm for infrared images for chemotherapy response monitoring and early detection of breast cancers,” USA patent (US 8805038 B2). Date of patent: 2014/08/12
    4. C.-M. Chen, S.-C. Lee, W.-J. Lee, C.-W. Chang, Y.-C. Chien, C.-Y. Lee, C.-Y. Lee, “Mechanism of quantitative dual-spectrum IR imaging system for breast cancer, ” USA patent (US 8977346 B2). Date of patent: 2015/03/10
    5. 盤松青、陳中明、沈怡廷、王泓翔。中華用於偵測皮膚及軟組織感染的方法。中華民國專利：專利編號I761802。(公開公告日：2022/04/21)
    6. 陳中明、彭成康、余欣儒。非穩定光源下之皮膚顏色變化監測系統及方法。中華民國專利：專利編號I689895。(公開公告日：2020/04/01)
    7. 陳中明、羅國榮。血管三維結構重建方法。中華民國專利：專利編號I548401。(公開公告日：2016/09/11)
    8. 陳中明、鄒奇軒。影像處理方法及影像處理系統。中華民國專利：專利編號I514328。(公開公告日：2015/12/21)
    9. 陳中明、黃宣瑜。基於形態動態法之肺血管腫瘤偵測方法及裝置。中華民國專利：專利編號I477260。(公開公告日：2015/03/21)
    10. 陳中明、張允中、李毓慈。肺腫瘤對位校正與組織分類。中華民國專利：專利編號I461178。(公開公告日：2014/11/21)

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