個人簡介

English

關於我

張元嚴現為國立臺中科技大學資訊工程系助理教授。於 2022 年取得國立臺灣大學生醫電子與資訊學研究所博士學位。

主要研究領域為醫學影像處理、深度學習應用、知識蒸餾、內視鏡電腦視覺以及醫療領域之基礎模型。

博士 2022

國立臺灣大學生醫電子與資訊學研究所

碩士 2017

國立交通大學生醫工程研究所（現為國立陽明交通大學智慧醫電工程研究所）

學士 2015

逢甲大學電機工程學系

國立臺中科技大學電子計算機中心網路工程組長（2024.08 – ）

國立臺中科技大學資訊工程系專任助理教授（2023.02 – ）

期刊

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)

(SCI, IF= 3.4, raniking 23/48 [46.9%], Q2) 本人為第一作者

(SCI, IF= 3.3, raniking 86/421 [20.4%], Q1) 本人為第一作者

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) 本人為通訊作者

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) 本人為通訊作者

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) 本人為第一作者

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) 本人為第一作者

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) 本人為第一作者

研討會

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.

國科會計畫

115年度 - 利用深度學習大型基礎模型的潰瘍性結腸炎大腸鏡視訊分級系統 ( NSTC115-2221-E025-005 ) , 核定經費：820,000元 , 執行起迄：2026/08/01~2027/07/31
114年度 - 利用深度學習大型基礎模型的潰瘍性結腸炎大腸鏡分級系統 ( NSTC114-2221-E025-007 ) , 核定經費：821,000元 , 執行起迄：2025/08/01~2026/07/31
113年度 - 應用於潰瘍性結腸炎大腸鏡視訊的深度學習分級系統 ( NSTC113-2221-E025-007 ) , 核定經費：760,000元 , 執行起迄：2024/08/01~2025/07/31
112年度 - 利用深度學習的潰瘍性結腸炎大腸鏡分級系統 ( NSTC112-2222-E025-001 ) , 核定經費：797,000元 , 執行起迄：2023/09/01~2024/08/31

Page updated

Google Sites

Report abuse