Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. - Zhanghexuan Ji; Yan Shen 002; Chunwei Ma; Mingchen Gao (MICCAI (3), 2019)

Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. - Chunwei Ma; Zhanghexuan Ji; Mingchen Gao (MICCAI (2), 2019)

User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. - Ashwin Raju; Zhanghexuan Ji; Chi-Tung Cheng; Jinzheng Cai; Junzhou Huang; Jing Xiao 006; Le Lu 001; Chien-Hung Liao; Adam P. Harrison (MICCAI (1), 2020)

An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. - Yan Shen 002; Zhanghexuan Ji; Mingchen Gao (MLMI@MICCAI, 2020)

Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. - Zhanghexuan Ji; Mohammad Abuzar Shaikh; Dana Moukheiber; Sargur N. Srihari; Yifan Peng 002; Mingchen Gao (MLMI@MICCAI, 2021)

LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption Generation. - Mohammad Abuzar Shaikh; Zhanghexuan Ji; Dana Moukheiber; Sargur N. Srihari; Mingchen Gao (CoRR, 2021)

FedMM: Saddle Point Optimization for Federated Adversarial Domain Adaptation. - Yan Shen 002; Jian Du; Hao Zhang; Benyu Zhang; Zhanghexuan Ji; Mingchen Gao (CoRR, 2021)

A Bayesian Detect to Track System for Robust Visual Object Tracking and Semi-Supervised Model Learning. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (CoRR, 2022)

Progressive Voronoi Diagram Subdivision: Towards A Holistic Geometric Framework for Exemplar-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (CoRR, 2022)

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation. - Yan Shen 002; Jian Du; Han Zhao 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AAMAS, 2023)

Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (ICCV, 2023)

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. - Chunwei Ma; Zhanghexuan Ji; Ziyun Huang; Yan Shen 002; Mingchen Gao; Jinhui Xu 001 (ICLR, 2023)

Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans. - Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Ke Yan 006; Le Lu 001; Minfeng Xu; Jingren Zhou 001; Qifeng Wang; Jia Ge; Mingchen Gao; Xianghua Ye; Dakai Jin (CoRR, 2023)

Continual Domain Adversarial Adaptation via Double-Head Discriminators. - Yan Shen 002; Zhanghexuan Ji; Chunwei Ma; Mingchen Gao (AISTATS, 2024)

Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. - Vince Zhu; Zhanghexuan Ji; Dazhou Guo; Puyang Wang; Yingda Xia; Le Lu 001; Xianghua Ye; Wei Zhu 015; Dakai Jin (MICCAI (8), 2024)

From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Dandan Zheng; Dashan Ai; Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Yun Bian; Na Shen; Xiaowei Ding; Le Lu 001; et al. (CoRR, 2025)

A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT. - Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Dandan Zheng; Heng Guo; Puyang Wang; Ke Yan 006; Yirui Wang 002; Qinji Yu; Zi Li; Minfeng Xu; Jianfeng Zhang; et al. (CoRR, 2025)