Bleeding Detection in Wireless Capsule Endoscopy Image Video Using Superpixel-Color Histogram and a Subspace KNN Classifier. - Xiaohan Xing; Xiao Jia 005; Max Q.-H. Meng (EMBC, 2018)

A Saliency-Aware Hybrid Dense Network for Bleeding Detection in Wireless Capsule Endoscopy Images. - Xiaohan Xing; Yixuan Yuan; Xiao Jia 005; Max Q.-H. Meng (ISBI, 2019)

Diagnose like a Clinician: Third-order Attention Guided Lesion Amplification Network for WCE Image Classification. - Xiaohan Xing; Yixuan Yuan; Max Q.-H. Meng (IROS, 2020)

Wireless Capsule Endoscopy: A New Tool for Cancer Screening in the Colon With Deep-Learning-Based Polyp Recognition. - Xiao Jia 005; Xiaohan Xing; Yixuan Yuan; Lei Xing 001; Max Q.-H. Meng (Proc. IEEE, 2020)

Automatic Polyp Recognition in Colonoscopy Images Using Deep Learning and Two-Stage Pyramidal Feature Prediction. - Xiao Jia 005; Xiaochun Mai; Yi Cui 002; Yixuan Yuan; Xiaohan Xing; Hyunseok Seo; Lei Xing 001; Max Q.-H. Meng (IEEE Trans Autom. Sci. Eng., 2020)

Zoom in Lesions for Better Diagnosis: Attention Guided Deformation Network for WCE Image Classification. - Xiaohan Xing; Yixuan Yuan; Max Q.-H. Meng (IEEE Trans. Medical Imaging, 2020)

An Interpretable Multi-Level Enhanced Graph Attention Network for Disease Diagnosis with Gene Expression Data. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (BIBM, 2021)

Multibranch Learning for Angiodysplasia Segmentation with Attention-Guided Networks and Domain Adaptation. - Xiao Jia 005; Xiaochun Mai; Xiaohan Xing; Yantao Shen 002; Jiankun Wang 001; Max Q.-H. Meng (ICRA, 2021)

Multi-modal Multi-instance Learning Using Weakly Correlated Histopathological Images and Tabular Clinical Information. - Hang Li; Fan Yang 081; Xiaohan Xing; Yu Zhao 009; Jun Zhang 018; Yueping Liu; Mengxue Han; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (8), 2021)

DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image. - Hang Li; Fan Yang 081; Yu Zhao 009; Xiaohan Xing; Jun Zhang 018; Mingxuan Gao; Junzhou Huang; Liansheng Wang; Jianhua Yao 001 (MICCAI (8), 2021)

Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification. - Xiaohan Xing; Yuenan Hou; Hang Li; Yixuan Yuan; Hongsheng Li 001; Max Q.-H. Meng (MICCAI (5), 2021)

Unseen Domain Generalization for Prostate MRI Segmentation via Disentangled Representations. - Ye Lu; Xiaohan Xing; Max Q.-H. Meng (ROBIO, 2021)

Multiple Consistency Supervision based Semi-supervised OCT Segmentation using Very Limited Annotations. - Ye Lu; Yantao Shen 002; Xiaohan Xing; Max Q.-H. Meng (ICRA, 2022)

Discrepancy-Based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images. - Fan Bai 008; Xiaohan Xing; Yantao Shen 002; Han Ma; Max Q.-H. Meng (MICCAI (8), 2022)

Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading. - Xiaohan Xing; Zhen Chen 013; Meilu Zhu; Yuenan Hou; Zhifan Gao; Yixuan Yuan (MICCAI (5), 2022)

Multi-level attention graph neural network based on co-expression gene modules for disease diagnosis and prognosis. - Xiaohan Xing; Fan Yang 081; Hang Li; Jun Zhang 018; Yu Zhao 009; Mingxuan Gao; Junzhou Huang; Jianhua Yao 001 (Bioinform., 2022)

Locate before Segment: Topology-guided Retinal Layer Segmentation in Optical Coherence Tomography Images. - Ye Lu; Yutian Shen; Xiaohan Xing; Max Q.-H. Meng (ICRA, 2023)

Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels. - Xiaohan Xing; Zhen Chen 013; Zhifan Gao; Yixuan Yuan (MICCAI (6), 2023)

Discrepancy-based Active Learning for Weakly Supervised Bleeding Segmentation in Wireless Capsule Endoscopy Images. - Fan Bai 008; Xiaohan Xing; Yutian Shen; Han Ma; Max Q.-H. Meng (CoRR, 2023)

Boundary-enhanced semi-supervised retinal layer segmentation in optical coherence tomography images using fewer labels. - Ye Lu; Yutian Shen; Xiaohan Xing; Chengwei Ye; Max Q.-H. Meng (Comput. Medical Imaging Graph., 2023)

Gradient modulated contrastive distillation of low-rank multi-modal knowledge for disease diagnosis. - Xiaohan Xing; Zhen Chen 013; Yuenan Hou; Yixuan Yuan (Medical Image Anal., 2023)

Medical federated learning with joint graph purification for noisy label learning. - Zhen Chen 013; Wuyang Li; Xiaohan Xing; Yixuan Yuan (Medical Image Anal., 2023)

Focus on Focus: Focus-oriented Representation Learning and Multi-view Cross-modal Alignment for Glioma Grading. - Li Pan 004; Yupei Zhang; Qiushi Yang; Tan Li 002; Xiaohan Xing; Maximus C. F. Yeung; Zhen Chen 013 (BIBM, 2024)

Accelerated Multi-contrast MRI Reconstruction via Frequency and Spatial Mutual Learning. - Qi Chen; Xiaohan Xing; Zhen Chen; Zhiwei Xiong (MICCAI (7), 2024)

Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction. - Xiaohan Xing; Liang Qiu; Lequan Yu; Lingting Zhu; Lei Xing 001; Lianli Liu (MLMI@MICCAI (1), 2024)

MMR-Mamba: Multi-Contrast MRI Reconstruction with Mamba and Spatial-Frequency Information Fusion. - Jing Zou; Lanqing Liu; Qi Chen; Shujun Wang; Xiaohan Xing; Jing Qin 001 (CoRR, 2024)

OccMamba: Semantic Occupancy Prediction with State Space Models. - Heng Li; Yuenan Hou; Xiaohan Xing; Xiao Sun; Yanyong Zhang (CoRR, 2024)

Artificial Intelligence-Enhanced Couinaud Segmentation for Precision Liver Cancer Therapy. - Liang Qiu; Wenhao Chi; Xiaohan Xing; Praveenbalaji Rajendran; Mingjie Li; Yuming Jiang 006; Oscar Pastor-Serrano; Sen Yang 006; Xiyue Wang; Yuanfeng Ji; Qiang Wen (CoRR, 2024)

WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image. - Yuci Liang; Xinheng Lyu; Meidan Ding; Wenting Chen; Jipeng Zhang; Yuexiang Ren; Xiangjian He; Song Wu; Sen Yang; Xiyue Wang; Xiaohan Xing; Linlin Shen (CoRR, 2024)

Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading. - Xiaohan Xing; Meilu Zhu; Zhen Chen 013; Yixuan Yuan (Medical Image Anal., 2024)

Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models. - Jie Liu 044; Wenxuan Wang 001; Yihang Su; Jingyuan Huang; Yudi Zhang 005; Cheng-Yi Li; Wenting Chen; Xiaohan Xing; Kao-Jung Chang; Linlin Shen; Michael R. Lyu (ACL (1), 2025)

OccMamba: Semantic Occupancy Prediction with State Space Models. - Heng Li; Yuenan Hou; Xiaohan Xing; Yuexin Ma; Xiao Sun; Yanyong Zhang (CVPR, 2025)

MMR-Mamba: Multi-modal MRI reconstruction with Mamba and spatial-frequency information fusion. - Jing Zou; Lanqing Liu; Qi Chen; Shujun Wang; Zhanli Hu; Xiaohan Xing; Jing Qin 001 (Medical Image Anal., 2025)

HySurvPred: Multimodal Hyperbolic Embedding with Angle-Aware Hierarchical Contrastive Learning and Uncertainty Constraints for Survival Prediction. - Jiaqi Yang; Wenting Chen; Xiaohan Xing; Sean He; Xiaoling Luo 001; Xinheng Lyu; Linlin Shen; Guoping Qiu (CoRR, 2025)

Hyperbolic Geometry-Driven Robustness Enhancement for Rare Skin Disease Diagnosis. - Yang Hu; Yuanyuan Chen; Xiaohan Xing; Jingfeng Zhang; Bolysbek Murat Yerzhanuly; Bazargul Matkerim; Yong Xia 001 (IEEE J. Biomed. Health Informatics, 2025)

One Polyp Identifies All: One-Shot Polyp Segmentation with SAM via Cascaded Priors and Iterative Prompt Evolution. - Xinyu Mao; Xiaohan Xing; Fei Meng; Jianbang Liu 002; Fan Bai 008; Qiang Nie; Max Q.-H. Meng (CoRR, 2025)