{"id":2540,"date":"2023-05-18T17:52:08","date_gmt":"2023-05-18T09:52:08","guid":{"rendered":"https:\/\/deptweb.cycu.edu.tw\/qic\/?page_id=2540"},"modified":"2024-11-26T16:48:56","modified_gmt":"2024-11-26T08:48:56","slug":"ceo-2","status":"publish","type":"page","link":"https:\/\/deptweb.cycu.edu.tw\/qic\/en\/personnel__trashed\/ceo-2\/","title":{"rendered":"CEO"},"content":{"rendered":"\t\t
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CEO of QIC<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\"\"<\/p>

Yuan-Hsiang, Chang Ph. D<\/p>

Academic qualifications<\/p><\/td>

Ph.D., University of Pittsburgh, U.S.A<\/p><\/td><\/tr>

Experience<\/p><\/td>

l\u00a0\u00a0 Associate Professor, Department of Computer Science and Information Engineering, Chung Yuan Christian University<\/p>

l\u00a0\u00a0 Director, Alumni Service Center, Office of the Secretary, Chung Yuan Christian University<\/p>

l\u00a0\u00a0 Leader, Internship and Employment Counseling Group, Office of Student Affairs, Chung Yuan Christian University<\/p>

l\u00a0\u00a0 Chair, Department of Computer Science and Information Engineering, Chung Yuan Christian University<\/p>

l\u00a0\u00a0 Professor, Department of Computer Science and Information Engineering, Chung Yuan Christian University<\/p>

l\u00a0\u00a0 Director, Human-centered Artificial Intelligence Center, Office of Research and Development, Chung Yuan Christian University<\/p>

l\u00a0\u00a0 Director, Preparatory Office, Intelligent Computing and Big Data Master’s Program, Chung Yuan Christian University<\/p>

l\u00a0\u00a0 Director, Intelligent Computing and Big Data Bachelor’s Program, Chung Yuan Christian University.<\/p><\/td><\/tr>

Fields<\/p><\/td>

Image processing, video processing, computer vision, artificial intelligence, biomedical imaging, quantum computing and quantum computation<\/p><\/td><\/tr>

Acedemic articles<\/p><\/td>

Journal paper<\/p>

[1]\u00a0\u00a0 Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Ming-Dar Tasi, Slo-Li Chu , \u201cAutomatic three-dimensional segmentation of mouse embryonic stem cell nuclei by utilizing multiple channels of confocal fluorescence images\u201d ,\u00a02021<\/strong>\u00a0,\u00a0Journal of Microscopy<\/em>\u00a0, vol.281 , p.57-75.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[2]\u00a0\u00a0 Yuan-Hsiang Chang, Kuniya Abe, Hideo Yokota, Kazuhiro Sudo, Yukio Nakamura and Ming-Dar Tsai , \u201cHuman Induced Pluripotent Stem Cell Region Detection in Bright-Field Microscopy Images Using Convolutional Neural Networks\u201d ,\u00a02019<\/strong>\u00a0,\u00a0Biomedical Engineering: Applications, Basis and Communications<\/em>\u00a0, vol.31 , p.1950009-1950009.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[3]\u00a0\u00a0 Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Chia-Tong Tang, Ming-Dar Tasi , \u201cAutomated Detection and Tracking of Cell Clusters in Time-Lapse Fluorescence Microscopy Images\u201d ,\u00a02016<\/strong>\u00a0,\u00a0Journal of Medical and Biological Engineering<\/em>\u00a0, p.1-10.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[4]\u00a0\u00a0 Yuan-Hsiang Chang, Hui-Lun Liao, Li-Der Jeng, Yung-Chung Chiu , \u201cAn interactive multimedia storybook demonstration system\u201d ,\u00a02014<\/strong>\u00a0,\u00a0Multimedia Tools and Applications<\/em>\u00a0, p.1-20.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[5]\u00a0\u00a0 Li-Der Jeng, Ching-Hao Yang, Yuan-Hsiang Chang , \u201cIterative decoding methods for image communication under PBNJ\u201d ,\u00a02013<\/strong>\u00a0,\u00a0International Journal of Technology & Computer Science<\/em>\u00a0, vol.9 , p.34-40.\u00a0(EI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[6]\u00a0\u00a0 Li-Der Jeng, Yuan-Nung Liu, Yuan-Hsiang Chang , \u201cAn improved SPIHT format for Image transmission\u201d ,\u00a02013<\/strong>\u00a0,\u00a0International Journal of Technology & Computer Science<\/em>\u00a0, vol.9 , p.11-18.\u00a0(EI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[7]\u00a0\u00a0 \u9ec3\u57f9\u5fe0\u3001\u5f35\u5143\u7fd4\u3001\u8cf4\u6771\u8ce2 , \u201c\u904b\u7528\u4eba\u9ad4\u8f2a\u5ed3\u7279\u5fb5\u8207\u975c\u614b\u52d5\u4f5c\u5206\u985e\u70ba\u57fa\u790e\u7684\u884c\u70ba\u5206\u6790\u7cfb\u7d71\u201d ,\u00a02009<\/strong>\u00a0,\u00a0International Journal of Advanced Information Technologies (IJAIT)<\/em>\u00a0, vol.3 , p.76-92.<\/p>

[8]\u00a0\u00a0 Yuan-Hsiang Chang, Mu-Ping Xu, Jyh-Tong Teng, Te-Chuan Wang, Ray-Feng Chiang, Huey-Ling Hwu, Wang-Chyuan Chen , \u201cAn advanced boiling-water reactor monitoring system using modular accident analysis program and computer graphical user interface\u201d ,\u00a02008<\/strong>\u00a0,\u00a0Nuclear Technology<\/em>\u00a0, vol.163 , p.435-443.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[9]\u00a0\u00a0 Yan-Yau Jiang, Yuan-Hsiang Chang, Chung-Hua Li, Jin-Jie Yang , \u201cA facial expression recognition system using facial feature extraction and artificial neural networks\u201d ,\u00a02008<\/strong>\u00a0,\u00a0Journal of Advanced Engineering<\/em>\u00a0, vol.3 , p.153-159.<\/p>

[10]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Hong-Ming Liu, Meng-Ta Tsai, Yuan-Hsiang Chang , \u201cEvaluation of interpolation methods used for image resizing techniques\u201d ,\u00a02005<\/strong>\u00a0,\u00a0Chung Hua Journal of Science and Engineering<\/em>\u00a0, vol.3 , p.43-49.<\/p>

[11]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Walter F. Good, Bin Zheng, Lara A. Hardesty, Christiane M. Hakim, David Gur , \u201cIntegrated density of a Lesion: A quantitative, mammographically-derived, invariable measure\u201d ,\u00a02003<\/strong>\u00a0,\u00a0Medical Physics<\/em>\u00a0, vol.30 , p.1805-1811.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[12]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Xiao-Hui Wang, Walter F. Good, Brian E. Chapman, Yuan-Hsiang Chang, William R. Poller, Thomas S. Chang, Lara A. Hardesty , \u201cAutomated assessment of the composition of breast tissue revealed on tissue-thickness-corrected mammography\u201d ,\u00a02003<\/strong>\u00a0,\u00a0AJR Am J Roentgenol<\/em>\u00a0, vol.180 , p.257-262.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[13]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Xiao-Hui Wang, Lara A. Hardesty, Thomas S. Chang, William R. Poller, Walter F. Good, David Gur , \u201cComputerized assessment of tissue composition on digitized mammograms\u201d ,\u00a02002<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.9 , p.899-905.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[14]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cPerformance gain in computer-assisted detection schemes by averaging scores generated from artificial neural networks with adaptive filtering\u201d ,\u00a02001<\/strong>\u00a0,\u00a0Medical Physics<\/em>\u00a0, vol.28 , p.2302-2308.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[15]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Lara A. Hardesty, Christiane M. Hakim, Thomas S. Chang, Bin Zheng, Walter F. Good, David Gur , \u201cKnowledge-based computer-aided detection of masses on digitized mammograms: A preliminary assessmen\u201d ,\u00a02001<\/strong>\u00a0,\u00a0Medical Physics<\/em>\u00a0, vol.28 , p.455-461.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[16]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Jules H. Sumkin, Walter F. Good, Glenn S. Maitz, Yuan-Hsiang Chang, David Gur , \u201cApplying computer-assisted detection schemes to digitized mammograms after JPEG data compression: an assessment\u201d ,\u00a02000<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.7 , p.595-602.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[17]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Walter F. Good, Jules H. Sumkin, Bin Zheng, David Gur , \u201cComputerized localization of breast lesions from two views. An experimental comparison of two methods\u201d ,\u00a01999<\/strong>\u00a0,\u00a0Investigative Radiology<\/em>\u00a0, vol.34 , p.585-588.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[18]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, David Gur , \u201cFeature selection for computerized mass detection in digitized mammograms by using a genetic algorithm\u201d ,\u00a01999<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.6 , p.327-332.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[19]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Xiao-Hui Wang, Bin Zheng, Walter F. Good, Jill L. King, Yuan-Hsiang Chang , \u201cComputer-assisted diagnosis of breast cancer using a data-driven Bayesian belief network\u201d ,\u00a01999<\/strong>\u00a0,\u00a0International Journal of Medical Informatics<\/em>\u00a0, vol.54 , p.115-126.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[20]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Bin Zheng, Walter F. Good, David Gur , \u201cIdentification of clustered microcalcifications on digitized mammograms using morphology and topography-based computer-aided detection schemes\u201d ,\u00a01998<\/strong>\u00a0,\u00a0Investigative Radiology<\/em>\u00a0, vol.33 , p.746-751.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[21]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Rymon R, Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cIncorporation of a set enumeration trees-based classifier into a hybrid computer-assisted diagnosis scheme for mass detection\u201d ,\u00a01998<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.5 , p.181-187.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[22]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cAdequacy testing of training set sample sizes in the development of a computer-assisted diagnosis scheme\u201d ,\u00a01997<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.4 , p.497-502.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[23]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cComputer-aided detection of clustered microcalcifications in digitized mammograms: A robustness experiment\u201d ,\u00a01997<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.4 , p.415-418.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[24]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cOn the reporting of mass contrast in CAD research\u201d ,\u00a01996<\/strong>\u00a0,\u00a0Medical Physics<\/em>\u00a0, vol.23 , p.2007-2009.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[25]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cRobustness of computerized identification of masses in digitized mammograms: A preliminary assessment\u201d ,\u00a01996<\/strong>\u00a0,\u00a0Investigative Radiology<\/em>\u00a0, vol.31 , p.563-568.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[26]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cAdaptive computer-aided diagnosis scheme of digitized mammograms\u201d ,\u00a01996<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.3 , p.806-814.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[27]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cRobustness of computerized identification of masses in digitized mammograms: A preliminary assessment\u201d ,\u00a01996<\/strong>\u00a0,\u00a0Investigative Radiology<\/em>\u00a0, vol.31 , p.563-568.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[28]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Bin Zheng, David Gur , \u201cComputerized identification of suspicious regions for masses in digitized mammograms\u201d ,\u00a01996<\/strong>\u00a0,\u00a0Investigative Radiology<\/em>\u00a0, vol.31 , p.146-153.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[29]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cComputerized detection of masses from digitized mammograms: Comparison of single-image segmentation and bilateral-image subtraction\u201d ,\u00a01995<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.2 , p.1056-1061.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[30]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, David Gur , \u201cComputerized detection of masses in digitized mammograms using single-image segmentation and a multilayer topographic feature analysis\u201d ,\u00a01995<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.2 , p.959-966.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[31]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, Stager M, Walter F. Good, David Gur , \u201cComputer-aided detection of clustered microcalcifications in digitized mammograms\u201d ,\u00a01995<\/strong>\u00a0,\u00a0Academic Radiology<\/em>\u00a0, vol.2 , p.655-662.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

[32]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ji Chen, Bin Zheng, Yuan-Hsiang Chang, Chris C. Shaw, Jeffrey D. Towers, David Gur , \u201cFractal analysis of trabecular patterns in projection radiographs: An assessment\u201d ,\u00a01994<\/strong>\u00a0,\u00a0Investigative Radiology<\/em>\u00a0, vol.29 , p.624-629.\u00a0(SCI<\/strong>\u671f\u520a<\/strong>)<\/strong><\/p>

Conference Paper<\/strong><\/p>

[1]\u00a0\u00a0 \u9673\u67cf\u9038\uff1b\u5f35\u5143\u7fd4 , \u201c\u91cf\u5b50\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u65bc\u5f71\u50cf\u8fa8\u8b58\u4e4b\u7814\u7a76\u201d ,\u00a02024<\/strong>\u00a0,\u00a0\u7b2c<\/em>29<\/em>\u5c46\u4eba\u5de5\u667a\u6167\u8207\u61c9\u7528\u7814\u8a0e\u6703<\/em> TAAI 2024<\/em>\u00a0, 2024 \/12 \/6 ~ 2024 \/12 \/7 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[2]\u00a0\u00a0 You-Lin Yang\uff1bYuan-Hsiang Chang , \u201cAutomatic Recognition of Human Workout \/ Exercises Using MediaPipe and Long-Short Term Memory Networks\u201d ,\u00a02024<\/strong>\u00a0,\u00a0The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)<\/em>\u00a0, 2024 \/8 \/18 ~ 2024 \/8 \/20 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[3]\u00a0\u00a0 Yi-Hong Li\uff1bYuan-Hsiang Chang , \u201cUnderwater Image Enhancement Using Deep Neural Networks Combined with Image Fusion\u201d ,\u00a02024<\/strong>\u00a0,\u00a0The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)<\/em>\u00a0, 2024 \/8 \/18 ~ 2024 \/8 \/20 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[4]\u00a0\u00a0 Ting-Feng Lin, Yuan-Hsiang Chang , \u201cResearch of Automatic Visual Inspection System Using Quantitative Image Analysis Based on Hough Transforms and Product Specifications\u201d ,\u00a02023<\/strong>\u00a0,\u00a0The 36th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)<\/em>\u00a0, 2023 \/8 \/20 ~ 2023 \/8 \/22 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[5]\u00a0\u00a0 Shao-Kong Feng, Yuan-Hsiang Chang , \u201cAn Integrated System with Laser Engraving and Automatic Defect Inspection\u201d ,\u00a02023<\/strong>\u00a0,\u00a0The 36th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)<\/em>\u00a0, 2023 \/8 \/20 ~ 2023 \/8 \/22 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[6]\u00a0\u00a0 Siao-Fang Su, Yuan-Hsiang Chang , \u201cResearch of Adaptive Camera Calibration Techniques for Automatic Visual Inspection Systems\u201d ,\u00a02023<\/strong>\u00a0,\u00a0The 36th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)<\/em>\u00a0, 2023 \/8 \/20 ~ 2023 \/8 \/22 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[7]\u00a0\u00a0 \u5ed6\u7fa9\u69ae\u3001\u5f35\u5143\u7fd4 , \u201c\u4f7f\u7528\u5f37\u5316\u5b78\u7fd2\u6280\u8853\u65bc\u661f\u6d77\u722d\u9738\u7b56\u7565\u4e4b\u7814\u7a76\u201d ,\u00a02023<\/strong>\u00a0,\u00a0TCSE2023 <\/em>\u7b2c<\/em>19<\/em>\u5c46\u53f0\u7063\u8edf\u9ad4\u5de5\u7a0b\u7814\u8a0e\u6703<\/em>\u00a0, 2023 \/6 \/30 ~ 2023 \/7 \/1 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[8]\u00a0\u00a0 \u674e\u5efa\u8208, \u5f35\u5143\u7fd4 , \u201c\u61c9\u7528\u5f71\u50cf\u8655\u7406\u6280\u8853\u65bc\u947d\u5c16\u6aa2\u6e2c\u81ea\u52d5\u5316\u4e4b\u7814\u7a76\u201d ,\u00a02022<\/strong>\u00a0,\u00a0\u660e\u65b0\u79d1\u6280\u5927\u5b78\u5de5\u7a0b\u79d1\u6280\u6280\u8853\u61c9\u7528\u7814\u8a0e\u6703<\/em>\u00a0, 2022 \/12 \/2 ~ 2022 \/12 \/2 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[9]\u00a0\u00a0 \u5f90\u7acb\u5fb7, \u5f35\u5143\u7fd4 , \u201c\u57fa\u65bc\u5faa\u74b0\u795e\u7d93\u7db2\u8def\/\u9577\u77ed\u671f\u8a18\u61b6\u4e4b\u7cbe\u5bc6\u8f49\u53f0\u71b1\u8aa4\u5dee\u9810\u6e2c\u7814\u7a76\u201d ,\u00a02022<\/strong>\u00a0,\u00a0\u660e\u65b0\u79d1\u6280\u5927\u5b78\u5de5\u7a0b\u79d1\u6280\u6280\u8853\u61c9\u7528\u7814\u8a0e\u6703<\/em>\u00a0, 2022 \/12 \/2 ~ 2022 \/12 \/2 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[10]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Zi-Feng Lin; Yuan-Hsiang Chang , \u201cFatigue Driving Detection Using RNN\/LSTM of Facial Landmarks\u201d ,\u00a02022<\/strong>\u00a0,\u00a0The 35th IPPR Conference on Computer Vision, Graphics, and Image Processing<\/em>\u00a0, 2022 \/8 \/18 ~ 2022 \/8 \/20 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[11]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Li-Hsuan Chiang; Yuan-Hsiang Chang , \u201cAutomatic Pedestrian Counting Using Pedestrian Detection and Tracking\u201d ,\u00a02022<\/strong>\u00a0,\u00a0The 35th IPPR Conference on Computer Vision, Graphics, and Image Processing<\/em>\u00a0, 2022 \/8 \/18 ~ 2022 \/8 \/20 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[12]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Zhong-Yan Wu; Yuan-Hsiang Chang , \u201cQuantitative Evaluation of Honor Guard’s Motion Sequence Using OpenPose Feature Points\u201d ,\u00a02022<\/strong>\u00a0,\u00a0The 35th IPPR Conference on Computer Vision, Graphics, and Image Processing<\/em>\u00a0, 2022 \/8 \/18 ~ 2022 \/8 \/20 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[13]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ming-Dar Tsai, Yuan-Hsiang Chang, Yi-Syuan Chen, Shih-Cheng Lee , \u201c\u4ee5\u8cc7\u6599\u7d50\u69cb\u8996\u89ba\u5316\u6642\u5e8f\u5217\u80da\u80ce\u5e79\u7d30\u80de\u5bb9\u7a4d\u4e4b\u7d30\u80de\u53ca\u805a\u843d\u52d5\u614b\u201d ,\u00a02020<\/strong>\u00a0,\u00a0Computer Graphics Workshop (CGW) 2020<\/em>\u00a0, 2020 \/7 \/9 ~ 2020 \/7 \/10 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[14]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ming-Dar Tsai, Yuan-Hsiang Chang, Chiao-Yun Ting, Chun-Yun Zheng , \u201c\u80da\u80ce\u5e79\u7d30\u80de\u5206\u5316\u87a2\u5149\u86cb\u767d\u6d3b\u6027\u53cd\u61c9\u4e4b\u5bb9\u7a4d\u8996\u89ba\u5316\u53ca\u91cf\u5316\u5206\u6790\u201d ,\u00a02020<\/strong>\u00a0,\u00a0Computer Graphics Workshop (CGW) 2020<\/em>\u00a0, 2020 \/7 \/9 ~ 2020 \/7 \/10 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[15]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Slo-Li Chu; Chih-Yung Hsu; Ming-Dar Tsai , \u201cHuman Induced Pluripotent Stem Cell Reprogramming Prediction in Microscopy Images using LSTM based RNN\u201d ,\u00a02019<\/strong>\u00a0,\u00a0019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)<\/em>\u00a0, 2019 \/7 \/23 ~ 2019 \/7 \/27 , Federal Republic of Germany .<\/p>

[16]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ming-Dar Tsai, Yuan-Hsiang Chang, Shao Tang Hong, and Tsung-Ting Huang , \u201c\u4f7f\u7528\u4e09\u7dad\u5171\u8edb\u7126\u986f\u5fae\u93e1\u5f71\u50cf\u4e4b\u7d30\u80de\u6838\u5206\u5272\u65b9\u6cd5\u201d ,\u00a02019<\/strong>\u00a0,\u00a0Computer Graphics Workshop (CGW) 2019<\/em>\u00a0, 2019 \/6 \/27 ~ 2019 \/6 \/28 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[17]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang\uff1bChi-Yu Chung , \u201cClassification of Breast Cancer Malignancy using Machine Learning Mechanisms in TensorFlow and Keras\u201d ,\u00a02019<\/strong>\u00a0,\u00a0The 3rd International Conference on Biomedical and Health Informatics (ICBHI)<\/em>\u00a0, 2019 \/4 \/17 ~ 2019 \/4 \/20 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[18]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang; Chun-Chi Chen; Ming-Dar Tsai; Hideo Yokota; Kuniya Abe , \u201c3D Segmentation,Visualization and Quantitative Analysis of Differentiation Activity for Mouse Embryonic Stem Cells using Time-lapse Fluorescence Microscopy Images\u201d ,\u00a02017<\/strong>\u00a0,\u00a0IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE) 2017<\/em>\u00a0, 2017 \/10 \/23 ~ 2017 \/10 \/25 , United States .<\/p>

[19]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang\uff1bHao-Jhih Jian\uff1bLi-Der Jeng , \u201cResearch of Automatic Breast Cancer Atypia Cell Classification Using Deep Learning Architectures\u201d ,\u00a02017<\/strong>\u00a0,\u00a0The 30th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2017)<\/em>\u00a0, 2017 \/8 \/21 ~ 2017 \/8 \/23 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[20]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang; Shan-Ying Wen; Li-Der Jeng , \u201cAutomatic Image Detection System for Cracks and Potholes on Road using Convolutional Neural Networks\u201d ,\u00a02017<\/strong>\u00a0,\u00a0The 30th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2017)<\/em>\u00a0, 2017 \/8 \/21 ~ 2017 \/8 \/23 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[21]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang; Kuniya Abe; Hideo Yokota; Kazuhiro Sudo; Yukio Nakamura; Cheng-Yu Lin; Ming-Dar Tsai , \u201cHuman induced pluripotent stem cell region recognition in microscopy images using Convolutional Neural Networks\u201d ,\u00a02017<\/strong>\u00a0,\u00a039th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2017<\/em>\u00a0, 2017 \/7 \/11 ~ 2017 \/7 \/15 , Republic of Korea .<\/p>

[22]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang;Tzu-Yang Chiu;Chun-Chi Chen;Li-Der Jeng , \u201cAn Interactive Learning Platform of Geographic Information using Automatic Motion Detection and Localization \u201d ,\u00a02016<\/strong>\u00a0,\u00a0The 2nd International Conference on Image Analysis and Computer Vision (CIACV2016)<\/em>\u00a0, 2016 \/11 \/28 ~ 2016 \/11 \/30 , \u5927\u9678\u5730\u5340 .<\/p>

[23]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang;Wei-Hsiang Juan;Jeng-Yu Lin;Li-Der Jeng , \u201cIntegrated Fire Detection and Alarm System Using Raspberry Pi\u201d ,\u00a02016<\/strong>\u00a0,\u00a0The 2nd International Conference on Image Analysis and Computer Vision (CIACV2016)<\/em>\u00a0, 2016 \/11 \/28 ~ 2016 \/11 \/30 , \u5927\u9678\u5730\u5340 .<\/p>

[24]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang;Hideo Yokota;Kuniya Abe;Chih-Cheng Li;Ming-Dar Tsai , \u201cFluorescence Microscopy Image Processing and Visualization for Analyzing Cell Kinematics, Proliferation and Attachment in Mouse Embryonic Stem Cell Culture \u201d ,\u00a02016<\/strong>\u00a0,\u00a0The 16th annual IEEE International Conference on Bioinformatics and Bioengineering (BIBE)<\/em>\u00a0, 2016 \/10 \/31 ~ 2016 \/11 \/2 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[25]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Hideo Yokota, Kuniya Abe, Jung Hsien Liu, and Ming-Dar Tsai , \u201cDetection and Localization of Mouse Induced Pluripotent Stem Cell Formation using Time-Lapse Fluorescence Microscopy Images\u201d ,\u00a02016<\/strong>\u00a0,\u00a038th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)<\/em>\u00a0, 2016 \/8 \/16 ~ 2016 \/8 \/20 , United States .<\/p>

[26]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Gwo-En Hwang;Yuan-Hsiang Chang;Li-Der Jeng , \u201cAutomatic inspection system for egg packs using image processing techniques\u201d ,\u00a02015<\/strong>\u00a0,\u00a0The 28th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2015)<\/em>\u00a0, 2015 \/8 \/17 ~ 2015 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[27]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Chen-Hua Wu;Yuan-Hsiang Chang;Chih-Wen Su , \u201cResearch on automatic recognition and localization of surgical equipment\u201d ,\u00a02015<\/strong>\u00a0,\u00a0The 28th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2015)<\/em>\u00a0, 2015 \/8 \/17 ~ 2015 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[28]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 an-Hsiang Chang, Pin-Chi Lin, Li-Der Jeng , \u201cAutomatic Motion Trajectory Analysis for Dual Human Interaction Using Video Sequences\u201d ,\u00a02015<\/strong>\u00a0,\u00a0International Conference on Computer Vision Theory and Applications (ICCVTA 2015)<\/em>\u00a0, 2015 \/5 \/28 ~ 2015 \/5 \/29 , Japan .<\/p>

[29]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Zhong-Xian Peng, Li-Der Jeng , \u201cAutomatic Music Score Recognition System Using Digital Image Processing\u201d ,\u00a02015<\/strong>\u00a0,\u00a0International Conference on Computer Vision Theory and Applications (ICCVTA 2015)<\/em>\u00a0, 2015 \/5 \/28 ~ 2015 \/5 \/29 , Japan .<\/p>

[30]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u65bd\u79cb\u5b89;\u5f35\u5143\u7fd4 , \u201c\u61c9\u7528\u5f71\u50cf\u8655\u7406\u8207\u5149\u5b78\u5b57\u5143\u8fa8\u8b58\u65bc\u81ea\u52d5\u5316\u751f\u7522\u7cfb\u7d71\u8a2d\u5099\u8cc7\u8a0a\u64f7\u53d6\u4e4b\u7814\u7a76\u201d ,\u00a02014<\/strong>\u00a0,\u00a02014 <\/em>\u5de5\u7a0b\u8207\u96fb\u8cc7\u79d1\u6280\u61c9\u7528\u5b78\u8853\u7814\u8a0e\u6703<\/em>\u00a0, 2014 \/12 \/8 ~ 2014 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[31]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Tung-Che Hsieh, Li-Der Jeng , \u201cVision-based fire detection using video sequences\u201d ,\u00a02014<\/strong>\u00a0,\u00a0The 27th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2014)<\/em>\u00a0, 2014 \/8 \/17 ~ 2014 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[32]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Chih-Chiang Yang, Chih-Wen Su , \u201cAutomatic license plate recognition system for patrolling vehicles\u201d ,\u00a02014<\/strong>\u00a0,\u00a0The 27th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2014)<\/em>\u00a0, 2014 \/8 \/17 ~ 2014 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[33]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Feng-Lu Liu, Yung-Chung Chiu , \u201cAutomatic food information demonstration and ordering system using video processing\u201d ,\u00a02014<\/strong>\u00a0,\u00a0The 27th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2014)<\/em>\u00a0, 2014 \/8 \/17 ~ 2014 \/8 \/19 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[34]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5f35\u660e\u8ed2\u3001\u912d\u7acb\u5fb7\u3001\u5f35\u5143\u7fd4 , \u201c\u81ea\u52d5\u5316\u7455\u75b5\u6aa2\u6e2c\u7cfb\u7d71\u61c9\u7528\u65bc\u5851\u81a0\u88fd\u54c1\u4e4b\u7814\u7a76\u201d ,\u00a02014<\/strong>\u00a0,\u00a02014 <\/em>\u96fb\u5b50\u3001\u4fe1\u865f\u3001\u8207\u901a\u8a0a\u5275\u65b0\u79d1\u6280\u7814\u8a0e\u6703<\/em>\u00a0, 2014 \/5 \/16 ~ 2014 \/5 \/16 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[35]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Li-Der Jeng, Yuan-Hsiang Chang, Shih-Wei Chen , \u201cA study of diversity combining methods for wireless image transmission system\u201d ,\u00a02014<\/strong>\u00a0,\u00a0The Fourth International Conference on Digital Information Processing and Communications (ICDIPC 2014)<\/em>\u00a0, 2014 \/3 \/18 ~ 2014 \/3 \/20 , Malaysia .<\/p>

[36]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Li-Der Jeng, Yuan-Hsiang Chang, Tsung-Hua Lee , \u201cImage transmission for low-density parity check coded system under PBNJ\u201d ,\u00a02014<\/strong>\u00a0,\u00a0Image transmission for low-density parity check coded system under PBNJ”, The Fourth International Conference on Digital Information Processing and Communications (ICDIPC 2014)<\/em>\u00a0, 2014 \/3 \/18 ~ 2014 \/3 \/20 , Malaysia .<\/p>

[37]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5f6d\u6021\u5be7\u3001\u5f35\u5143\u7fd4\u3001\u694a\u5fd7\u5f37 , \u201c\u8996\u8a0a\u4e2d\u96d9\u4eba\u4e92\u52d5\u5075\u6e2c\u8207\u8ffd\u8e64\u4e4b\u7814\u7a76\u201d ,\u00a02013<\/strong>\u00a0,\u00a02013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)<\/em>\u00a0, 2013 \/12 \/6 ~ 2013 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[38]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5b6b\u742c\u5a77\u3001\u5f35\u5143\u7fd4\u3001\u6797\u54c1\u9f4a , \u201c\u57fa\u65bc\u904b\u52d5\u8996\u8a0a\u4e2d\u52d5\u614b\u80cc\u666f\u4e4b\u79fb\u52d5\u7269\u4ef6\u5075\u6e2c\u8207\u8ffd\u8e64\u7814\u7a76\u201d ,\u00a02013<\/strong>\u00a0,\u00a02013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)<\/em>\u00a0, 2013 \/12 \/6 ~ 2013 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[39]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u8521\u52c7\u5100\u3001\u5f35\u5143\u7fd4\u3001\u8607\u5fd7\u6587 , \u201c\u904b\u7528\u8272\u5f69\u5340\u57df\u5339\u914d\u53ca\u5206\u4f48\u5716\u91cd\u758a\u8655\u7406\u65bc\u5340\u57df\u70ba\u57fa\u790e\u4e4b\u8ffd\u8e64\u7814\u7a76\u201d ,\u00a02013<\/strong>\u00a0,\u00a02013 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)<\/em>\u00a0, 2013 \/12 \/6 ~ 2013 \/12 \/8 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[40]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u6797\u5bb6\u7def\u3001\u5f35\u5143\u7fd4\u3001\u912d\u7acb\u5fb7 , \u201c\u61c9\u7528\u68d2\u7403\u904b\u52d5\u8996\u8a0a\u4e4b\u68d2\u7403\u8ecc\u8de1\u8ffd\u8e64\u7814\u7a76\u201d ,\u00a02013<\/strong>\u00a0,\u00a0Taiwan Academic Network Conference (TANET 2013)<\/em>\u00a0, 2013 \/10 \/23 ~ 2013 \/10 \/24 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[41]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yao-Ling Hung, Chih-Wen Su, Yuan-Hsiang Chang , \u201cSkyline Localization for Mountain Images\u201d ,\u00a02013<\/strong>\u00a0,\u00a0Proceedings – IEEE International Conference on Multimedia and Expo (ICME)<\/em>\u00a0, 2013 \/7 \/15 ~ 2013 \/7 \/19 , United States .<\/p>

[42]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u8521\u653f\u82b3\u3001\u5f35\u5143\u7fd4 , \u201c\u57fa\u65bc\u8996\u8a0a\u52d5\u614b\u80cc\u666f\u4e4b\u904b\u52d5\u7269\u9ad4\u5075\u6e2c\u7814\u7a76\u201d ,\u00a02013<\/strong>\u00a0,\u00a0International Information Technology and Application Conference 2013<\/em>\u00a0, 2013 \/6 \/6 ~ 2013 \/6 \/6 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[43]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u9ec3\u5f64\u63da\u3001\u5f35\u5143\u7fd4 , \u201c\u57fa\u65bc\u8996\u8a0a\u7db2\u8def\u7cfb\u7d71\u4e4b\u591a\u901a\u9053\u8996\u8a0a\u50b3\u64ad\u540c\u6b65\u6a5f\u5236\u7814\u7a76\u201d ,\u00a02013<\/strong>\u00a0,\u00a0Information Technologies, Applications and Management Conference (ITAMC 2013)<\/em>\u00a0, 2013 \/5 \/31 ~ 2013 \/5 \/31 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[44]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Zhi-Heng Li, Yuan-Hsiang Chang, Yi-Ning Peng , \u201cResearch on Facial Expression Recognition using Dynamic Facial Features in Video Sequences\u201d ,\u00a02012<\/strong>\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)<\/em>\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[45]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Szu Ying Wu, Yuan-Hsiang Chang, Hui-Lun Liao , \u201cResearch on Customizable Facial Expression Recognition System with Learning Capability\u201d ,\u00a02012<\/strong>\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)<\/em>\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[46]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Jie Ying Jiang, Yuan-Hsiang Chang, Jia-Wei Lin , \u201cA Study of Automobile Driver\u2019s Assisting System at Night-Time using Smart Phones\u201d ,\u00a02012<\/strong>\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)<\/em>\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[47]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yu-Chen Chen, Yuan-Hsiang Chang, Wan-Tin Sun , \u201cA Study of Automatic Human-Pose Recognition System using Active Depth Cameras\u201d ,\u00a02012<\/strong>\u00a0,\u00a0The 2012 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2012)<\/em>\u00a0, 2012 \/11 \/16 ~ 2012 \/11 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[48]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u674e\u771f\u5fe0\u3001\u5f35\u5143\u7fd4\u3001\u674e\u6cbb\u8861 , \u201c\u904b\u7528\u7acb\u9ad4\u8996\u89ba\u4e4b\u6307\u5c16\u5075\u6e2c\u8207\u4e92\u52d5\u7cfb\u7d71\u201d ,\u00a02011<\/strong>\u00a0,\u00a02011 National Computer Symposium (NCS 2011)<\/em>\u00a0, 2011 \/12 \/2 ~ 2011 \/12 \/3 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[49]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Hui-Chi Lu , \u201cVision-based Automobile Driver Assisting and Warning System Using Smart Phones\u201d ,\u00a02011<\/strong>\u00a0,\u00a0BIT’s 2nd Annual World Congress of Forensics 2011<\/em>\u00a0, 2011 \/10 \/15 ~ 2011 \/10 \/18 , \u5927\u9678\u5730\u5340 .<\/p>

[50]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Gong-Yun Jheng , \u201cCustomizable Facial Expression Recognition using Non-Negative Matrix Factorization\u201d ,\u00a02011<\/strong>\u00a0,\u00a02011 International Conference on Electrical and Control Engineering (ICECE)<\/em>\u00a0, 2011 \/9 \/16 ~ 2011 \/9 \/18 , \u5927\u9678\u5730\u5340 .<\/p>

[51]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Tai-Rong Huang , \u201cInteractive Boxing Motion Sensing Game System\u201d ,\u00a02011<\/strong>\u00a0,\u00a02011 International Conference on Electrical and Control Engineering (ICECE)<\/em>\u00a0, 2011 \/9 \/16 ~ 2011 \/9 \/18 , \u5927\u9678\u5730\u5340 .<\/p>

[52]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yu-Chen Chen, Yuan-Hsiang Chang, Te-Chuan Wang , \u201cA Real-Time Computer Graphical User Interface for Advanced Boiling Water Reactor Case Comparison Using MAAP Software\u201d ,\u00a02010<\/strong>\u00a0,\u00a0International Computer Symposium (ICS 2010)<\/em>\u00a0, 2010 \/12 \/16 ~ 2010 \/12 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[53]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Li-Wei Zheng, Yuan-Hsiang Chang, Zhen-Zhong Li , \u201cA Study of 3D Feature Tracking and Localization Using A Stereo Vision System\u201d ,\u00a02010<\/strong>\u00a0,\u00a0International Computer Symposium (ICS 2010)<\/em>\u00a0, 2010 \/12 \/16 ~ 2010 \/12 \/18 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[54]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Janice Budihartono, Yuan-Hsiang Chang, Yu-Ting Wang , \u201cAutomatic Detection of Human Carrying Weapons in Video Sequences\u201d ,\u00a02010<\/strong>\u00a0,\u00a0The 23th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2010)<\/em>\u00a0, 2010 \/8 \/24 ~ 2010 \/8 \/26 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[55]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5289\u90a6\u6bc5\u3001\u5f35\u5143\u7fd4 , \u201c\u9069\u61c9\u6027\u6a21\u5f0f\u9078\u53d6\u65bc\u904b\u52d5\u4f30\u6e2c\u4e4bH.264 \u8996\u8a0a\u7de8\u78bc\u201d ,\u00a02010<\/strong>\u00a0,\u00a02010 Conference on Information and Technology and Industrial Application (ITIA 2010)<\/em>\u00a0, 2010 \/6 \/4 ~ 2010 \/6 \/4 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[56]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u9673\uff1f\u9298\u3001\u5f35\u5143\u7fd4 , \u201c\u61c9\u7528\u65bc\u884c\u52d5\u5f0f\u96a8\u610f\u7db2\u8def\u4e4b\u6297\u81ea\u79c1\u7bc0\u9ede\u7e5e\u5f91\u6a5f\u5236\u4e4b\u7814\u7a76\u201d ,\u00a02010<\/strong>\u00a0,\u00a02010 <\/em>\u7db2\u8def\u8207<\/em>RFID<\/em>\u6280\u8853\u7814\u8a0e\u6703<\/em> Network & RFID Technology Conference<\/em>\u00a0, 2010 \/6 \/4 ~ 2010 \/6 \/4 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[57]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Li-Der Jeng, Chien-Hung Su, Yuan-Hsiang Chang , \u201cImage Restoration for Reed-Solomon Coded SFH\/MFSK System with Partial-Band Noise Jamming\u201d ,\u00a02009<\/strong>\u00a0,\u00a02009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2009)<\/em>\u00a0, 2009 \/12 \/7 ~ 2009 \/12 \/9 , Japan .<\/p>

[58]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Cong Qi Peng, Yuan-Hsiang Chang, Li-Jen Wang, Yang-Jen Chiang , \u201cTexture-learning-based system for three-dimensional segmentation of renal parenchyma in abdominal CT images\u201d ,\u00a02009<\/strong>\u00a0,\u00a0SPIE Medical Imaging<\/em>\u00a0, 2009 \/2 \/7 ~ 2009 \/2 \/12 , United States .<\/p>

[59]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Jin-Shing Lin, Yuan-Hsiang Chang, Yan-Yau Jiang, Chen-Ming Chang , \u201cAutomatic conversion of 2D video sequences using object tracking and depth-maps for 3D stereoscopic display\u201d ,\u00a02008<\/strong>\u00a0,\u00a0The 21th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2008)<\/em>\u00a0, 2008 \/8 \/24 ~ 2008 \/8 \/26 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[60]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u9ec3\u5e25\u8c6a\u3001\u5f35\u5143\u7fd4\u3001\u9867\u627f\u5b87\u3001\u5f35\u5bb8\u9298 , \u201c\u904b\u7528\u5f71\u50cf\u8655\u7406\u65bc\u822a\u7167\u5f71\u50cf\u4e4b\u81ea\u52d5\u6cb3\u9053\u8b8a\u9077\u5206\u6790\u201d ,\u00a02008<\/strong>\u00a0,\u00a0The 6th Taipei International Digital Earth Symposium (TIDES 2008)<\/em>\u00a0, 2008 \/5 \/15 ~ 2008 \/5 \/16 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[61]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Jia-Yuan Chen, Yuan-Hsiang Chang , \u201cA hand-pose recognition system using a combined classifier of shift distances and Fourier features\u201d ,\u00a02007<\/strong>\u00a0,\u00a0The 20th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2007)<\/em>\u00a0, 2007 \/8 \/19 ~ 2007 \/8 \/21 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[62]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ya-Wen Chiang, Yo-Chen Wang, Yan-Yau Jiang, Yuan-Hsiang Chang , \u201cA bill-detection system based on color and texture analyses\u201d ,\u00a02006<\/strong>\u00a0,\u00a0The 19th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2006)<\/em>\u00a0, 2006 \/8 \/13 ~ 2006 \/8 \/15 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[63]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yo-Chen Wang, Ming-Sheng Wei, Yan-Yau Jiang, Yuan-Hsiang Chang, Yi-Hua Fan , \u201cAutomatic measurement system using a laser scan instrument for ceramic bearings\u201d ,\u00a02006<\/strong>\u00a0,\u00a0The 8th International Conference on Laser and Fiber-Optical Networks Modeling (LFNM 2006)<\/em>\u00a0, 2006 \/6 \/29 ~ 2006 \/7 \/1 , Ukraine .<\/p>

[64]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u6c5f\u598d\u7464\u3001\u5f35\u6587\u90b5\u3001\u5f35\u5143\u7fd4\u3001\u9867\u627f\u5b87 , \u201c\u5f71\u50cf\u8fa8\u8b58\u6280\u8853\u65bc\u96a7\u9053\u5730\u8cea\u5224\u91cb\u81ea\u52d5\u5316\u4e4b\u521d\u6b65\u7814\u7a76\u201d ,\u00a02006<\/strong>\u00a0,\u00a02006<\/em>\u5ca9\u76e4\u5de5\u7a0b\u7814\u8a0e\u6703<\/em> (2006 Taiwan Rock Engineering Symposium)<\/em>\u00a0, 2006 \/6 \/26 ~ 2006 \/6 \/27 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[65]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yo-Chen Wang, Ya-Wen Chiang, Yan-Yau Jiang, Yuan-Hsiang Chang , \u201cDevelopment of bill-counterfeit prevention technology for multi-function peripherals\u201d ,\u00a02006<\/strong>\u00a0,\u00a0International MultiConference of Engineers and Computer Scientists 2006<\/em>\u00a0, 2006 \/6 \/20 ~ 2006 \/6 \/22 , Hong Kong .<\/p>

[66]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Meng-Ta Tsai, Ming-Sheng Wei, Yuan-Hsiang Chang , \u201cColor calibration of scanned images on observer preference\u201d ,\u00a02005<\/strong>\u00a0,\u00a0The 18th IPPR Conference on Computer Vision, Graphics and Image Processing (CVGIP 2005)<\/em>\u00a0, 2005 \/8 \/21 ~ 2005 \/8 \/23 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[67]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Xiao-Hui Wang, Bin Zheng, Walter F. Good, David Gur , \u201cIncorporation of negative regions in a knowledge-based computer-aided detection scheme\u201d ,\u00a02002<\/strong>\u00a0,\u00a0SPIE Medical Imaging 2002<\/em>\u00a0, 2002 \/2 \/23 ~ 2002 \/2 \/23 , United States .<\/p>

[68]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Ken J. Leader, Xiao-Hui Wang, Yuan-Hsiang Chang, Brian E. Chapman , \u201cVisualization of 3D geometric models of the breast created from contrast enhanced MRI\u201d ,\u00a02002<\/strong>\u00a0,\u00a0SPIE Medical Imaging 2002<\/em>\u00a0, 2002 \/2 \/23 ~ 2002 \/2 \/23 , United States .<\/p>

[69]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Xiao-Hui Wang, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cChange of region conspicuity in bilateral mammograms: potential impact on CAD performance\u201d ,\u00a02002<\/strong>\u00a0,\u00a0SPIE Medical Imaging 2002<\/em>\u00a0, 2002 \/2 \/23 ~ 2002 \/2 \/23 , United States .<\/p>

[70]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Goo , \u201cCorrection of digitized mammograms to enhance soft display and tissue composition measurement\u201d ,\u00a02001<\/strong>\u00a0,\u00a0SPIE Medical Imaging 2001<\/em>\u00a0, 2001 \/2 \/17 ~ 2001 \/2 \/17 , United States .<\/p>

[71]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Walter F. Good, Glenn S. Maitz, John Drescher, Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, He Wang , \u201cImage modification for display of temporal sequences of mammograms\u201d ,\u00a02000<\/strong>\u00a0,\u00a0SPIE Medical Imaging 2000<\/em>\u00a0, 2000 \/2 \/12 ~ 2000 \/2 \/12 , United States .<\/p>

[72]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Jill L. King, Xiao-Hui Wang, Bin Zheng, Walter F. Good , \u201cComputerized identification of masses on digitized mammograms using a knowledge-based approach: an assessment\u201d ,\u00a02000<\/strong>\u00a0,\u00a0The Fourth Asian Conference on Computer Vision (ACCV) 2000<\/em>\u00a0, 2000 \/1 \/8 ~ 2000 \/1 \/11 , \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 .<\/p>

[73]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good , \u201cComparison of artificial neural network and Bayesian belief network in a computer-assisted diagnosis scheme for mammography\u201d ,\u00a01999<\/strong>\u00a0,\u00a0International Joint Conference on Neural Networks<\/em>\u00a0, 1999 \/7 \/10 ~ 1999 \/7 \/16 , United States .<\/p>

[74]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, Bin Zheng, Xiao-Hui Wang, Walter F. Good , \u201cComputer-aided diagnosis of breast cancer using artificial neural networks: Comparison of backpropagation and genetic algorithms\u201d ,\u00a01999<\/strong>\u00a0,\u00a0International Joint Conference on Neural Networks<\/em>\u00a0, 1999 \/7 \/10 ~ 1999 \/7 \/16 , United States .<\/p>

[75]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang , \u201cPreliminary investigations of multi-view CAD of mammography employing features derived from ipsilateral image pairs\u201d ,\u00a01999<\/strong>\u00a0,\u00a013th International Conference on Computer Assisted Radiology and Surgery<\/em>\u00a0, 1999 \/6 \/23 ~ 1999 \/6 \/26 , France .<\/p>

[76]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Walter F. Good, David Gur , \u201cApplication of a Bayesian-belief network in a computer-assisted diagnosis scheme for mass detection\u201d ,\u00a01999<\/strong>\u00a0,\u00a0SPIE Medical Imaging 1999<\/em>\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/p>

[77]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Glenn S. Maitz, David Gur , \u201cMulti-image CAD employing features derived from ipsilateral mammographic views\u201d ,\u00a01999<\/strong>\u00a0,\u00a0SPIE Medical Imaging 1999<\/em>\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/p>

[78]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Walter F. Good, Bin Zheng, Yuan-Hsiang Chang, Xiao-Hui Wang, Glenn S. Maitz , \u201cGeneralized procrustean image deformation for subtraction of mammograms\u201d ,\u00a01999<\/strong>\u00a0,\u00a0SPIE Medical Imaging 1999<\/em>\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/p>

[79]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Xiao-Hui Wang, Bin Zheng, Yuan-Hsiang Chang, Walter F. Good , \u201cOptimizing the feature set for a Bayesian network for breast cancer diagnosis, by using genetic algorithm techniques\u201d ,\u00a01999<\/strong>\u00a0,\u00a0SPIE Medical Imaging 1999<\/em>\u00a0, 1999 \/2 \/20 ~ 1999 \/2 \/20 , United States .<\/p>

[80]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Walter F. Good, Yuan-Hsiang Chang, Xiao-Hui Wang , \u201cApplying a genetic algorithm for the improvement of decision making in medical image diagnosis\u201d ,\u00a01999<\/strong>\u00a0,\u00a0Int Conf Artificial Intelligence and Soft Computing<\/em>\u00a0, 1999 \/1 \/15 ~ 1999 \/1 \/15 , United States .<\/p>

[81]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Bin Zheng, Yuan-Hsiang Chang, Walter F. Good, David Gur , \u201cAssessment of mass detection using tissue background information as input to a computer-assisted diagnosis scheme\u201d ,\u00a01998<\/strong>\u00a0,\u00a0SPIE Medical Imaging 1998<\/em>\u00a0, 1998 \/2 \/21 ~ 1998 \/2 \/21 , United States .<\/p>

[82]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 John M. Herron, Yuan-Hsiang Chang , \u201cComputer-controlled light box with uniform luminance at selectable levels for observer performance studies\u201d ,\u00a01995<\/strong>\u00a0,\u00a0SPIE Medical Imaging 1995<\/em>\u00a0, 1995 \/2 \/26 ~ 1995 \/2 \/26 , United States .<\/p>

[83]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Yuan-Hsiang Chang, M. Gokmen, C. C. Li , \u201cAn experimental study of IRR edge detection algorithm on noisy images\u201d ,\u00a01993<\/strong>\u00a0,\u00a0Modeling and Simulation<\/em>\u00a0, 1993 \/12 \/1 ~ 1993 \/12 \/1 , United States .<\/p>

Monograph<\/strong><\/p>

[1]\u00a0\u00a0 \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u904b\u7b97\u601d\u7dad\u8207\u7a0b\u5f0f\u8a2d\u8a08 – python\u7a0b\u5f0f\u5be6\u4f5c\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02021\u00a0, 978-986-503-743-7 .<\/p>

[2]\u00a0\u00a0 \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u91cf\u5b50\u96fb\u8166\u8207\u91cf\u5b50\u8a08\u7b97\uff0dibm q experience\u5be6\u4f5c\u201d , \u7881\u5cf0\u8cc7\u8a0a ,\u00a02020\u00a0, 978-986-502-519-9 .<\/p>

[3]\u00a0\u00a0 \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u6578\u4f4d\u5f71\u50cf\u8655\u7406\uff0dpython\u7a0b\u5f0f\u5be6\u4f5c\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02019\u00a0, 978-986-503-308-8 .<\/p>

[4]\u00a0\u00a0 \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u6578\u4f4d\u8a0a\u865f\u8655\u7406\uff0dpython\u7a0b\u5f0f\u5be6\u4f5c\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02019\u00a0, 978-986-503-257-9 .<\/p>

[5]\u00a0\u00a0 \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201craspberry pi\u5d4c\u5165\u5f0f\u7cfb\u7d71\u5165\u9580\u8207\u61c9\u7528\u5be6\u4f5c \u201d , \u7881\u5cf0\u8cc7\u8a0a ,\u00a02016\u00a0, 978-986-476-100-5 .<\/p>

[6]\u00a0\u00a0 \u5f35\u5143\u7fd4 ,\u00a0\u81ea\u8457\u8005\u00a0, \u201c\u5de5\u7a0b\u6578\u5b78\u5165\u9580\uff0d\u5c08\u70ba\u79d1\u5b78\u5bb6\u8207\u5de5\u7a0b\u5e2b\u8a2d\u8a08\u4e4b\u6559\u6750\u201d , \u5168\u83ef\u5716\u66f8 ,\u00a02015\u00a0, 978-957-21-9912-1 .<\/p>

Sections of a monograph<\/strong><\/p>

[1]\u00a0\u00a0 \u5f35\u5143\u7fd4 , \u7de8\u8457\u8005 , \u201c\u6a5f\u5668\u5b78\u7fd2\u56f0\u96e3\u55ce?\u201d ,\u00a0\u4eba\u5de5\u667a\u6167\u5c0e\u8ad6 – \u7406\u8ad6\u3001\u5be6\u52d9\u53ca\u7d20\u990a\u00a0, \u4e94\u5357\u51fa\u7248\u793e ,\u00a02020\u00a0, 978-957-763-820-5 .<\/p>

[2]\u00a0\u00a0 \u5f35\u5143\u7fd4 , \u7de8\u8457\u8005 , \u201c\u667a\u6167\u578b\u5075\u6e2c\u8207\u8fa8\u8b58\u201d ,\u00a0\u667a\u6167\u578b\u88fd\u9020\u7cfb\u7d71\u00a0, \u4e94\u5357\u51fa\u7248\u793e ,\u00a02014\u00a0.<\/p>

[3]\u00a0\u00a0 Yuan-hsiang chang, chen-ming chang , \u7de8\u8457\u8005 , \u201cautomatic hand-pose trajectory tracking system using video sequences\u201d ,\u00a0user interfaces\u00a0, intech ,\u00a02010\u00a0, 978-953-307-084-1 .<\/p>

[4]\u00a0\u00a0 Dong-xian lai, yuan-hsiang chang, zhi-he zhang , \u7de8\u8457\u8005 , \u201cactive contour tracking of moving objects using edge flows and ant colony optimization in video sequences\u201d ,\u00a0advances in image and video technology, lecture notes in computer science\u00a0, springer ,\u00a02009\u00a0, 978-3-540-92957-4 .<\/p>

Academic and Competition Awards<\/strong><\/p>

[1]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u201c2006\u5ca9\u76e4\u5de5\u7a0b\u7814\u8a0e\u6703\u512a\u826f\u8ad6\u6587\u734e\u201d ,\u00a02006\u00a0.<\/p>

Patent<\/strong><\/p>

[1]\u00a0\u00a0 Hideo yokota; kuniya abe; ming-dar tsai; slo-li chu, yuan-hsiang chang , \u201cmethod and apparatus for predicting cell reprogramming\u201d , \u767c\u660e ,\u00a02020\u00a0, \u7f8e\u570b , 20200126234 (2020.4) .<\/p>

[2]\u00a0\u00a0 Yuan-hsiang chang; hideo yokota; kuniya abe; ming-dar tsai , \u201cmethod and apparatus for image processing and visualization for analyzing cell kinematics in cell culture\u201d , \u767c\u660e ,\u00a02019\u00a0, \u7f8e\u570b , 20190130161 (2019.5) .<\/p>

[3]\u00a0\u00a0 Yuan-hsiang chang; hideo yokota; kuniya abe; ming-dar tsai , \u201cmethod and apparatus for detecting cell reprogramming\u201d , \u767c\u660e ,\u00a02018\u00a0, \u7f8e\u570b , 20180232879 (2018.8) .<\/p>

[4]\u00a0\u00a0 Yuan-hsiang chang;ya-wen chiang;yo-chen wang , \u201cmethod and system for banknote recognition\u201d , \u767c\u660e ,\u00a02007\u00a0, \u7f8e\u570b , us20070253615a1 (2007.11) .<\/p>

[5]\u00a0\u00a0 \u5f35\u5143\u7fd4;\u8303\u61b6\u83ef;\u9b4f\u660e\u751f;\u738b\u6ec4\u6bc5 , \u201c\u5713\u67f1\u5ea6\u91cf\u6e2c\u7cfb\u7d71,\u65b9\u6cd5\u53ca\u63a7\u5236\u8edf\u9ad4\u7a0b\u5f0f\u4e4b\u7d00\u9304\u5a92\u9ad4\u201d ,\u00a02005\u00a0, \u4e2d\u83ef\u6c11\u570b \u53f0\u7063 , 0 (2005.9) .<\/p>

[6]\u00a0\u00a0 Good wf, gur d, glenn ms, chang yh, zheng b, wang xh. , \u201cmulti-view computer-assisted diagnosis\u201d ,\u00a02003\u00a0, \u7f8e\u570b , 6,553,356 (2003.4) .<\/p>

[7]\u00a0\u00a0 Gur d, zheng b, chang yh. , \u201cmethod and system to enhance robust identification of abnormal regions in radiographs\u201d ,\u00a02000\u00a0, \u7f8e\u570b , 6.067.372 (2000.5) .<\/p>

[8]\u00a0\u00a0 Gur d, zheng b, chang yh. , \u201cmethod and system to enhance robust identification of abnormal regions in radiographs \u201d ,\u00a01998\u00a0, \u7f8e\u570b , 5.838.815 (1998.11) .<\/p>

[9]\u00a0\u00a0 Gur d, zheng b, chang yh. , \u201ccomputerized detection of masses and microcalcifications in digital mammograms\u201d ,\u00a01997\u00a0, \u7f8e\u570b , 5.627.907 (1997.5) .<\/p>

[10]\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Chang yh, gur d, zheng b. , \u201cidentification of suspicious mass regions in mammograms\u201d ,\u00a01997\u00a0, \u7f8e\u570b , 5.615.243 (1997.3) .<\/p><\/td><\/tr><\/tbody><\/table>

LAB<\/p><\/td>

Computer Vision Laboratory
Electrical Engineering Building, Room 603, Tel: 03-2654726<\/p><\/td><\/tr>

Office Location<\/p><\/td>

Electrical Engineering Building, Room 805, Tel: 03-2654713<\/p><\/td><\/tr>

Email<\/p><\/td>

changyh@ice.cycu.edu.tw<\/p><\/td><\/tr><\/tbody><\/table>

\u00a0<\/p>

\u00a0<\/p>

\u00a0<\/p>

\u00a0<\/p>

\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

CEO of QIC Yuan-Hsiang, Chang Ph. D Academic qualificat […]<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":2569,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2540","page","type-page","status-publish","hentry","entry"],"yoast_head":"\nCEO - \u4e2d\u539f\u5927\u5b78\u91cf\u5b50\u8cc7\u8a0a\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/deptweb.cycu.edu.tw\/qic\/en\/personnel__trashed\/ceo-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CEO - \u4e2d\u539f\u5927\u5b78\u91cf\u5b50\u8cc7\u8a0a\u4e2d\u5fc3\" \/>\n<meta property=\"og:description\" content=\"CEO of QIC Yuan-Hsiang, Chang Ph. 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