Deep learning to assess microsatellite instability directly from histopathological whole slide images in endometrial cancer. - Ching-Wei Wang; Hikam Muzakky; Nabila Puspita Firdi; Tzu-Chien Liu; Po-Jen Lai; Yu-Chi Wang; Mu-Hsien Yu; Tai-Kuang Chao (npj Digit. Medicine, 2024)

Deep learning to identify aggressive endometrial cancer and predict tumor mutational burden from histopathology slide. - Ching-Wei Wang; Po-Jen Lai; Hikam Muzakky; Tzu-Chiao Chu; Yu-Chi Wang; Mu-Hsien Yu; Chia-Hua Wu; Tai-Kuang Chao (Biomed. Signal Process. Control., 2025)

Interpretable multi-stage attention network to predict cancer subtype, microsatellite instability, TP53 mutation and TMB of endometrial and colorectal cancer. - Ching-Wei Wang; Hikam Muzakky; Yu-Ching Lee; Yu-Pang Chung; Yu-Chi Wang; Mu-Hsien Yu; Chia-Hua Wu; Tai-Kuang Chao (Comput. Medical Imaging Graph., 2025)

Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer. - Ching-Wei Wang; Tzu-Chien Liu; Po-Jen Lai; Hikam Muzakky; Yu-Chi Wang; Mu-Hsien Yu; Chia-Hua Wu; Tai-Kuang Chao (Medical Image Anal., 2025)