Transparent object recognition and retrieval for robotic bio-laboratory automation applications. - Ren C. Luo; Po-Jen Lai; Vincent Wei Sen Ee (IROS, 2015)

Surface-based background completion in 3D scene. - Po-Jen Lai; Yung-Lin Huang; Shao-Yi Chien (GlobalSIP, 2016)

Learning Collaborative Action Plans from YouTube Videos. - Hejia Zhang; Po-Jen Lai; Sayan Paul; Suraj Kothawade; Stefanos Nikolaidis (ISRR, 2019)

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)

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)

Interpretable multi-scale deep learning to detect malignancy in cell blocks and cytological smears of pleural effusion and identify aggressive endometrial cancer. - Ching-Wei Wang; Hikam Muzakky; Yu-Pang Chung; Po-Jen Lai; Tai-Kuang Chao (Medical Image Anal., 2025)