Publications

發表著作

期刊 (Journal)

Wei-Wen Hsu, Wen-Shin Song, Pei-Chi Chang, Dueng-Yuan Hueng, and Yao-Feng Li*. "COL22A1 expression identifies aggressive glioma and independently predicts survival through integrated multiomics and clinical validation." Discover Oncology 16, no. 1 (2025): 1945.

Wei-Wen Hsu, Yi-Jui Huang, Yao-Feng Li*. ''Weakly-Supervised Learning for Whole-Slide Image Classification and Its Feature Analysis in Digital Pathology.'' Green Science＆Technology Journal 14, no. 1 (2024): 65-76

Wei-Wen Hsu, Yongfang Wu, Chung-Hao Chen, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Tao He, and Yanhong Tai*. "A computer-aided diagnosis system for breast pathology: a deep learning approach with model interpretability from pathological perspective." Service Oriented Computing and Applications 18, no. 2 (2024): 183-193.

Jing-Ming Guo, Sankarasrinivasan Seshathiri, Jia-Hao Liu, and Wei-Wen Hsu. "Two-Stage Cascaded CNN Model for 3D Mitochondria EM Segmentation" Electronics 12, no. 4 (2023): 928.

Wei-Wen Hsu, Jing-Ming Guo*, Chien-Yu Chen, and Yao-Chung Chang. "Fall Detection with the Spatial-Temporal Correlation Encoded by a Sequence-to-Sequence Denoised GAN." Sensors 22, no. 11 (2022): 4194.

Wei-Wen Hsu, Jing-Ming Guo, Linmin Pei*, Ling-An Chiang, Yao-Feng Li, Jui-Chien Hsiao, Rivka Colen, and Peizhong Liu. "A weakly supervised deep learning-based method for glioma subtype classification using WSI and mpMRIs." Scientific Reports 12, no. 1 (2022): 6111.

Wei-Wen Hsu, Chung-Hao Chen, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, and Yanhong Tai*. "Understanding the Mechanism of Deep Learning Frameworks in Lesion Detection for Pathological Images with Breast Cancer." Sens. Mater. 34, no. 4 (2022): 1337-1349.

會議 (Conference)

Cheng-Yi Lin, Lun-Wei Ting, Yao-Feng Li, Yao-Chung Chang, and Wei-Wen Hsu*. "Interpretable Weak Supervision for Colon Cancer Diagnosis on Whole Slide Images." In The International Forum on Medical Imaging in Asias (IFMIA 2026). (Accepted)

Cheng-Yi Lin, Lun-Wei Ting, Yao-Feng Li and, and Wei-Wen Hsu*. "A Lesion Annotation-free Approach for Predicting Skin Lesion Type of Whole Slide Images Using Mutual Calibration Training." In The 38th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)

Lun-Wei Ting, Lin Cheng-Yi, Yao-Feng Li and, and Wei-Wen Hsu*. "Weakly Supervised Learning for Glioma Subtyping through Mitigating Noisy Data Problem Using Feature Selection Scheme." In The 38th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)

Wei-Wen Hsu, Zhen-Shen Wu, Ping-Chien Hsueh, Bing-Wei Lin, and Chih-Hsien Hsia*. "Computer-aided Diagnosis for Breast Carcinoma and Its Visual Interpretability with Mammography." In The 37th IPPR Conference on Computer Vision, Graphics, and Image Processing (CVGIP)

Shao-Yun Yin, Wei-Wen Hsu, and Chih-Hsien Hsia. "Cell segmentation in fluorescence microscopy images." In IET International Conference on Engineering Technologies and Applications (ICETA 2024), vol. 2024, pp. 17-18. IET, 2024.

Wei-Wen Hsu, Yao-Chung Chang, Wei-Min Lee, Yu-Chuan Huang, and Da-Wen Lu*. "Improving Regularization of Deep Learning Models in Fundus Analysis.'' In 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 898-901. IEEE, 2023.

Wei-Wen Hsu, Jia-Yi Lin, Hsin-Hung Lai, Wan-Lin Hsu, Jeng-Ting Jiang, and Yao-Feng Li*. "The Development of an AI-Assisted Diagnosis System for Adult Glioma Subtyping Prediction.'' In 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 918-921. IEEE, 2023.

Chia-Ming Liang, Yao-Chung Chang, Chun-Yu Yeh, Shang-Hui Lin, Yi-Jui Huang, and Wei-Wen Hsu*. "Breast Cancer Screening with Class Imbalance Datasets of Mammogram Imaging." In 2023 IET International Conference on Engineering Technologies and Applications (IET-ICETA), pp. 152-153. IET, 2023.

Wei-Wen Hsu, Jing-Ming Guo, Jia-Hao Liu, and Yao-Chung Chang*. "Two-stage Cascaded CNN Model for 3D Mitochondria EM Segmentation." In 2022 IEEE International Conference on Imaging Systems and Techniques (IST), pp. 1-5. IEEE, 2022.

Da-Wen Lu, Wei-Wen Hsu, Yu-Chuan Huang, Lung-Chi Lee, Jing-Ming Guo, Yu-Ting Hsiao, I-Hung Lin, Yao-Chung Chang, and Mei-Lan Ko*. "Visual Interpretability of Deep Learning Models in Glaucoma Detection Using Color Fundus Images." In 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA), pp. 1-2. IEEE, 2022.

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