Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. - Pengbo Liu 004; Hu Han 001; Yuanqi Du; Heqin Zhu; Yinhao Li; Feng Gu; Honghu Xiao; Jun Li 103; Chunpeng Zhao; Li Xiao 005; Xinbao Wu; S. Kevin Zhou (Int. J. Comput. Assist. Radiol. Surg., 2021)

Incremental Learning for Multi-organ Segmentation with Partially Labeled Datasets. - Pengbo Liu 004; Li Xiao 005; S. Kevin Zhou (CoRR, 2021)

CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography. - Yang Deng; Ce Wang; Yuan Hui; Qian Li; Jun Li 103; Shiwei Luo; Mengke Sun; Quan Quan; Shuxin Yang; You Hao; Pengbo Liu 004; Honghu Xiao; et al. (CoRR, 2021)

Learning Incrementally to Segment Multiple Organs in a CT Image. - Pengbo Liu 004; Xia Wang; Mengsi Fan; Hongli Pan; Minmin Yin; Xiaohong Zhu; Dandan Du; Xiaoying Zhao; Li Xiao 005; Lian Ding; Xingwang Wu; S. Kevin Zhou (MICCAI (4), 2022)

Universal Segmentation of 33 Anatomies. - Pengbo Liu 004; Yang Deng; Ce Wang; Yuan Hui; Qian Li; Jun Li 103; Shiwei Luo; Mengke Sun; Quan Quan; Shuxin Yang; You Hao; Honghu Xiao; et al. (CoRR, 2022)

Multi-site Organ Segmentation with Federated Partial Supervision and Site Adaptation. - Pengbo Liu 004; Mengke Sun; S. Kevin Zhou (CoRR, 2023)

E-DM: Evaluating Diffusion Model by Conformal Prediction. - Chunjiang Wang; Yunjie Gu; Pengbo Liu 004; Shang Zhao 004; S. Kevin Zhou (ISBI, 2024)