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2020 – today
- 2025
[j6]Ching-Wei Wang
, Nabila Puspita Firdi, Tzu-Chiao Chu, Mohammad Faiz Iqbal Faiz, Mohammad Zafar Iqbal, Yifan Li, Bo Yang, Mayur Mallya, Ali Bashashati, Fei Li, Haipeng Wang, Mengkang Lu, Yong Xia, Tai-Kuang Chao:
ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images. Medical Image Anal. 99: 103342 (2025)- 2024
- [j5]Ching-Wei Wang, Hikam Muzakky, Nabila Puspita Firdi, Tzu-Chien Liu, Po-Jen Lai, Yu-Chi Wang, Mu-Hsien Yu, Tai-Kuang Chao:
Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer. npj Digit. Medicine 7(1) (2024) - 2023
- [j4]Ching-Wei Wang, Muhammad Adil Khalil, Yi-Jia Lin, Yu-Ching Lee, Tai-Kuang Chao:
Detection of ERBB2 and CEN17 signals in fluorescent in situ hybridization and dual in situ hybridization for guiding breast cancer HER2 target therapy. Artif. Intell. Medicine 141: 102568 (2023) - [j3]Ching-Wei Wang, Yu-Ching Lee, Yi-Jia Lin, Chun-Chieh Chang, Aung-Kyaw-Oo Sai, Chih-Hung Wang, Tai-Kuang Chao:
Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations. Comput. Medical Imaging Graph. 107: 102233 (2023) - [j2]Ching-Wei Wang, Kun-Lin Lin, Hikam Muzakky, Yi-Jia Lin, Tai-Kuang Chao:
Weakly supervised bilayer convolutional network in segmentation of HER2 related cells to guide HER2 targeted therapies. Comput. Medical Imaging Graph. 108: 102270 (2023) - 2022
- [j1]Ching-Wei Wang, Cheng-Chang Chang, Yu-Ching Lee, Yi-Jia Lin, Shih-Chang Lo, Po-Chao Hsu, Yi-An Liou, Chih-Hung Wang, Tai-Kuang Chao:
Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images. Comput. Medical Imaging Graph. 99: 102093 (2022)
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