Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. - Can Tu; Ziyan Huang; Zhongying Deng; Yuncheng Yang; Chenglong Ma 002; Junjun He; Jin Ye 002; Haoyu Wang 010; Xiaowei Ding (LAScarQS@MICCAI, 2022)

An evaluation of U-Net in Renal Structure Segmentation. - Haoyu Wang 010; Ziyan Huang; Jin Ye 002; Can Tu; Yuncheng Yang; Shiyi Du; Zhongying Deng; Chenglong Ma 002; Jingqi Niu; Junjun He (CoRR, 2022)

Learning to Distill Global Representation for Sparse-View CT. - Zilong Li 001; Chenglong Ma 002; Jie Chen 001; Junping Zhang; Hongming Shan (ICCV, 2023)

FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction. - Chenglong Ma 002; Zilong Li 001; Junping Zhang; Yi Zhang 018; Hongming Shan (MICCAI (10), 2023)

Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition. - Jiaxin Ye; Yujie Wei 001; Xin-Cheng Wen; Chenglong Ma 002; Zhizhong Huang; Kunhong Liu 001; Hongming Shan (ACM Multimedia, 2023)

Prompt-In-Prompt Learning for Universal Image Restoration. - Zilong Li 001; Yiming Lei; Chenglong Ma 002; Junping Zhang; Hongming Shan (CoRR, 2023)

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI. - Tianbin Li; Yanzhou Su; Wei Li 320; Bin Fu; Zhe Chen 017; Ziyan Huang; Guoan Wang; Chenglong Ma 002; Ying Chen; Ming Hu; Yanjun Li 007; Pengcheng Chen; et al. (CoRR, 2024)

SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation. - Jin Ye 002; Ying Chen; Yanjun Li 007; Haoyu Wang 010; Zhongying Deng; Ziyan Huang; Yanzhou Su; Chenglong Ma 002; Yuanfeng Ji; Junjun He (CoRR, 2024)

Towards Interpretable Counterfactual Generation via Multimodal Autoregression. - Chenglong Ma 002; Yuanfeng Ji; Jin Ye 002; Lu Zhang 060; Ying Chen; Tianbin Li; Mingjie Li 006; Junjun He; Hongming Shan (MICCAI (2), 2025)

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. - Yanzhou Su; Tianbin Li; Jiyao Liu; Chenglong Ma 002; Junzhi Ning; Cheng Tang; Sibo Ju; Jin Ye 002; Pengcheng Chen; Ming Hu; Shixiang Tang; Lihao Liu; et al. (CoRR, 2025)

MedITok: A Unified Tokenizer for Medical Image Synthesis and Interpretation. - Chenglong Ma 002; Yuanfeng Ji; Jin Ye 002; Zilong Li 001; Chenhui Wang; Junzhi Ning; Wei Li 320; Lihao Liu; Qiushan Guo; Tianbin Li; Junjun He; Hongming Shan (CoRR, 2025)

Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction. - Chenglong Ma 002; Zilong Li 001; Yuanlin Li; Jing Han; Junping Zhang; Yi Zhang 018; Jiannan Liu; Hongming Shan (IEEE Trans. Medical Imaging, 2025)

A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers. - Ming Hu; Chenglong Ma 002; Wei Li 320; Wanghan Xu; Jiamin Wu; Jucheng Hu; Tianbin Li; Guohang Zhuang; Jiaqi Liu; Yingzhou Lu; Ying Chen; Chaoyang Zhang; et al. (CoRR, 2025)

SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines. - Yizhou Wang 007; Chen Tang; Han Deng; Jiabei Xiao; Jiaqi Liu; Jianyu Wu; Jun Yao; Pengze Li; Encheng Su; Lintao Wang 002; Guohang Zhuang; Yuchen Ren 001; et al. (CoRR, 2025)

MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs. - Jiyao Liu; Jinjie Wei; Wanying Qu; Chenglong Ma 002; Junzhi Ning; Yunheng Li; Ying Chen; Xinzhe Luo; Pengcheng Chen; Xin Gao; Ming Hu; Huihui Xu; et al. (CoRR, 2025)

UniMedVL: Unifying Medical Multimodal Understanding And Generation Through Observation-Knowledge-Analysis. - Junzhi Ning; Wei Li 320; Cheng Tang; Jiashi Lin; Chenglong Ma 002; Chaoyang Zhang; Jiyao Liu; Ying Chen; Shujian Gao; Lihao Liu; Yuandong Pu; Huihui Xu; et al. (CoRR, 2025)

GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI. - Tianbin Li; Yanzhou Su; Wei Li 320; Bin Fu; Zhe Chen 017; Ziyan Huang; Guoan Wang; Chenglong Ma 002; Ying Chen; Ming Hu; Yanjun Li 007; Pengcheng Chen; et al. (AAAI, 2026)

S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision. - Huihui Xu; Jin Ye 002; Hongqiu Wang; Changkai Ji; Jiashi Lin; Ming Hu; Ziyan Huang; Ying Chen; Chenglong Ma 002; Tianbin Li; Lihao Liu; Junjun He; et al. (AAAI, 2026)

Universal pre-training for generalizable incomplete-view CT reconstruction. - Chenglong Ma 002; Zilong Li 001; Junjun He; Junping Zhang; Yi Zhang 018; Hongming Shan (Pattern Recognit., 2026)

MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations. - Jiyao Liu; Junzhi Ning; Chenglong Ma 002; Wanying Qu; Jianghan Shen; Siqi Luo; Jinjie Wei; Jin Ye 002; Pengze Li; Tianbin Li; Jiashi Lin; Hongming Shan; et al. (CoRR, 2026)

MedQ-UNI: Toward Unified Medical Image Quality Assessment and Restoration via Vision-Language Modeling. - Jiyao Liu; Junzhi Ning; Wanying Qu; Lihao Liu; Chenglong Ma 002; Junjun He; Ningsheng Xu (CoRR, 2026)

MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment. - Jiyao Liu; Junzhi Ning; Wanying Qu; Lihao Liu; Chenglong Ma 002; Junjun He; Ningsheng Xu (CoRR, 2026)

PHASOR: Anatomy- and Phase-Consistent Volumetric Diffusion for CT Virtual Contrast Enhancement. - Zilong Li 001; Dongyang Li; Chenglong Ma 002; Zhan Feng; Dakai Jin; Junping Zhang; Hao Luo; Fan Wang; Hongming Shan (CoRR, 2026)

MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark. - Junzhi Ning; Jiashi Lin; Yingying Fang; Wei Li 320; Jiyao Liu; Cheng Tang; Chenglong Ma 002; Wenhao Tang; Tianbin Li; Ziyan Huang; Guang Yang 006; Junjun He (CoRR, 2026)

MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline. - Jiyao Liu; Jianghan Shen; Sida Song; Tianbin Li; Xiaojia Liu; Rongbin Li; Ziyan Huang; Jiashi Lin; Junzhi Ning; Changkai Ji; Siqi Luo; Wenjie Li; et al. (CoRR, 2026)

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction. - Yujie Wei 001; Chenglong Ma 002; Jianxiong Gao; Chenhui Wang; Shiwei Zhang 001; Biao Gong; Shuai Tan; Hangjie Yuan; Hongming Shan (CoRR, 2026)

GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction. - Zilong Li 001; Chenglong Ma 002; Yiming Lei; Yuanlin Li; Jing Han; Jiannan Liu; Huidong Xie; Junping Zhang; Yi Zhang 018; Hongming Shan (CoRR, 2026)