Biography

Ph.D.  2022

Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University

M.S.  2017

Institute of Biomedical Engineering, National Chiao Tung University

B.S.  2015

Department of Electrical Engineering, Feng Chia University

Section Chief of Network Engineering Division Aug., 2024 - 

Computer Center, National Taichung University of Science and Technology

Assistant Professor  Feb., 2023 - 

Department of Computer Science and Information Engineering, National Taichung University of Science and Technology

Journal

• Chiao-Min Chen, Yao-Sian Huang, Ming-Jen Yu, Yuan‑Yen Chang, Wen-Yen Chang, Chia-Po Fu*, Ruey-Feng Chang*, 2026.06, “A ConvNeXt-based network with channel attention mechanism and weighted feature fusion for hyperthyroidism diagnosis in thyroid ultrasound image,” Biomedical Signal Processing and Control, Online ahead of print. 

(SCI= 5.7, ranking= 33/130, 25.38%, Q2) 

• Yuan-Yen Chang, Ying-Yuan Cheng, Han-Po Yang, Hsu-Heng Yen*, Yao-Sian Huang*, 2026.02, “ACD2W-InceptionNeXt: Adjacent Class Distinguished and Class Distance Weighted InceptionNeXt-based Computer-aided Mayo Endoscopic Scoring System for Still Images and Video Segments,” Health Information Science and Systems, vol.14, no.39.

(SCI, IF= 3.4, raniking 23/48 [46.9%], Q2) First Author

• Yuan-Yen Chang, Han-Po Yang, Yang-Yuan Chen, Hsu-Heng Yen*, 2025.12, "Comparison of the Performance between an AI-Based Vision Transformer and Human Endoscopists in Predicting the Endoscopic and Histologic Activities of Ulcerative Colitis," Digital Health.

(SCI, IF= 3.3, raniking 86/421 [20.4%], Q1) First Author

• Shang-Yu Chiang, You-Wei Wang, Pei-Yuan Su, Yuan-Yen Chang, Hsu-Heng Yen*, Ruey-Feng Chang*, 2025.01,  “PBCS-ConvNeXt: Convolutional Network-Based Automatic Diagnosis of Non-alcoholic Fatty Liver in Abdominal Ultrasound Images,” Journal of Imaging Informatics in Medicine, vol. 38, pages 2878–2893.

(SCI, IF= 4.4, raniking 30/312 [9.6%], Q1)

• Kuo-Chen Wu, Te-Chun Hsieh, Zong-Kai Hsu, Chao-Jen Chang, Yi-Chun Yeh, Long-Sheng Lu, Yuan‑Yen Chang*, Chia-Hung Kao*, 2025.01,  “Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans,” International Journal of Cardiovascular Imaging, vol. 41, pages 453–465.

(SCI, IF= 1.59, raniking 154/387 [39.8%], Q2) Corresponding Author

• Kuo-Chen Wu, Shang-Wen Chen, Ruey-Feng Chang, Te-Chun Hsieh, Kuo-Yang Yen, Chao-Jen Chang, Zong-Kai Hsu, Yi-Chun Yeh, Yuan-Yen Chang*, Chia-Hung Kao*, 2024.12,  “Early prediction of radiotherapy outcomes in pharyngeal cancer using deep learning on baseline [18F]Fluorodeoxyglucose positron emission Tomography/Computed tomography,” European Journal of Radiology, vol. 181.

(SCI, IF= 3.2, raniking 59/335 [17.6%], Q1) Corresponding Author

• Yan-Wei Lee, Ming-Yang Wang, Hua-Yan Chen, Yuan-Yen Chang, Chiun-Sheng Huang*, Ruey-Feng Chang*, 2024.11,  “Automatic slice selection and diagnosis of breast ultrasound image using deep learning,” Biomedical Signal Processing and Control, vol. 97.

(SCIE, IF= 4.9, raniking 19/131 [14.5%], Q1)

• Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Yu-Yao Chang, Siou-Ping Huang, Yang-Yuan Chen, Wen-Yen Chang, Hsu-Heng Yen*, 2022.09, “Development and validation of a deep learning‑based algorithm for colonoscopy quality assessment,” Surgical Endoscopy, vol. 36, no. 9, pp6446-6455.

(SCI, IF= 4.584, raniking 33/211 [15.64%], Q1) First Author

• Yuan-Yen Chang, Pai-Chi Li, Ruey-Feng Chang, Chih-Da Yao, Yang-Yuan Chen, Wen-Yen Chang, Hsu-Heng Yen*, 2022.06, “Deep learning‑based endoscopic anatomy classification: an accelerated approach for data preparation and model validation,” Surgical Endoscopy, vol. 36, no. 6, pp. 3811-3821.

(SCI, IF= 4.584, raniking 33/211 [15.64%], Q1) First Author

• Yuan-Yen Chang, Hsu-Heng Yen*, Pai-Chi Li, Ruey-Feng Chang, Chia Wei Yang, Yang-Yuan Chen, Wen-Yen Chang, 2021.10, “Upper endoscopy photodocumentation quality evaluation with novel deep learning system,” Digestive Endoscopy, vol. 34, no. 5, pp. 994-1001.

(SCI, IF= 7.559, raniking 7/212 [3.30%], Q1) First Author

Conference

•  Yuan-Yen Chang, Shih‑Hsun Yang, Jia-Hong Liu, “MCL-USFM: Mutual-Channel Loss for Enhanced Breast Ultrasound Classification with Foundation Model,” ICKII 2026 International Conference on Knowledge Innovation and Invention, Aug, 2026, Sendai, Japan.

• Yuan-Yen Chang, Han-Po Yang, Yao-Sian Huang, Hsu-Heng Yen, “Foundation model-based multi-teacher distillation for computer-aided diagnosis of ulcerative colitis,” CARS 2026 Computer Assisted Radiology and Surgery, Jul, 2026, Nagoya, Japan.

• Yuan-Yen Chang, Ying-Yuan Chen, Yao-Sian Huang, Hsu-Heng Yen, “InceptionNeXt-based computer-aided Mayo endoscopic scoring system,” CARS 2025 Computer Assisted Radiology and Surgery, Jun, 2025, Berlin, Germany.

• Yuan-Yen Chang, Ying-Yuan Chen, Yao-Sian Huang, Hsu-Heng Yen, “Computer-aided ulcerative colitis colonoscopy grading system using deep learning,” CARS 2024 Computer Assisted Radiology and Surgery, Jun, 2024, Barcelona, Spain.

National Science and Technology Council (NSTC) Projects

• Ulcerative Colitis Colonoscopy Video Grading System Using Deep Learning Foundation Model (NSTC 115-2221-E025-005), NTD 820,000, Aug. 2026 – Jul. 2027.

• Ulcerative Colitis Colonoscopy Grading System Using Deep Learning Foundation Model (NSTC 114-2221-E025-007), NTD 821,000, Aug. 2025 – Jul. 2026.

• A Deep Learning Grading System for Colitis Colonoscopy Video (NSTC 113-2221-E025-007), NTD 760,000, Aug. 2024 – Jul. 2025.

• Ulcerative Colitis Colonoscopy Grading System Using Deep Learning (NSTC 112-2222-E025-001), NTD 797,000, Sep. 2023 – Aug. 2024.

• Silver Award in IEC2025, Bureau of Industrial Parks, Ministry of Economic Affairs, 2025

• Honorable Mention in IEC2023, Bureau of Industrial Parks, Ministry of Economic Affairs, 2023

• Ph.D. Dissertation Award, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, 2022

• Outstanding Research Award, Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, 2022

• 3rd Place in AI Creative Competition, CTCI Foundation, 2020