Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. - Dongnan Liu; Donghao Zhang; Yang Song 001; Chaoyi Zhang; Heng Huang; Mei Chen; Weidong Cai 001 (CVPR Workshops, 2018)

Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. - Dongnan Liu; Donghao Zhang; Siqi Liu 001; Yang Song 001; Haozhe Jia; Dagan Feng 001; Yong Xia 001; Weidong Cai 001 (ICIP, 2018)

3D Large Kernel Anisotropic Network for Brain Tumor Segmentation. - Dongnan Liu; Donghao Zhang; Yang Song 001; Fan Zhang 013; Lauren J. O'Donnell; Weidong Cai 001 (ICONIP (7), 2018)

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. - Donghao Zhang; Yang Song 001; Dongnan Liu; Haozhe Jia; Siqi Liu 001; Yong Xia 001; Heng Huang; Weidong Cai 001 (MICCAI (2), 2018)

Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation. - Donghao Zhang; Yang Song 001; Dongnan Liu; Chaoyi Zhang; Yicheng Wu 001; Heng Wang 007; Fan Zhang 013; Yong Xia 001; Lauren J. O'Donnell; Weidong Cai 001 (Australasian Conference on Artificial Intelligence, 2019)

Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. - Dongnan Liu; Donghao Zhang; Yang Song 001; Chaoyi Zhang; Fan Zhang 013; Lauren O'Donnell; Weidong Cai 001 (IJCAI, 2019)

Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. - Yicheng Wu 001; Yong Xia 001; Yang Song 001; Donghao Zhang; Dongnan Liu; Chaoyi Zhang; Weidong Cai 001 (MICCAI (1), 2019)

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. - Dongnan Liu; Donghao Zhang; Yang Song 001; Fan Zhang 013; Lauren O'Donnell; Heng Huang; Mei Chen; Weidong Cai 001 (CVPR, 2020)

3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation. - Zihao Tang; Donghao Zhang; Yang Song 001; Heng Wang 007; Dongnan Liu; Chaoyi Zhang; Siqi Liu 001; Hanchuan Peng; Weidong Cai 001 (ISBI, 2020)

BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. - Tiange Xiang; Chaoyi Zhang; Dongnan Liu; Yang Song 001; Heng Huang; Weidong Cai 001 (MICCAI (1), 2020)

Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. - Dongnan Liu; Donghao Zhang; Yang Song 001; Heng Huang; Weidong Cai 001 (CoRR, 2020)

LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. - Zihao Tang; Mariano Cabezas; Dongnan Liu; Michael Barnett 006; Weidong Cai 001; Chenyu Wang 001 (MICCAI (7), 2021)

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. - Xinyi Wang; Tiange Xiang; Chaoyi Zhang; Yang Song 001; Dongnan Liu; Heng Huang; Weidong Cai 001 (MICCAI (1), 2021)

3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis. - Jianhui Yu; Chaoyi Zhang; Heng Wang 007; Dingxin Zhang 001; Yang Song 001; Tiange Xiang; Dongnan Liu; Weidong Cai 001 (CoRR, 2021)

Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. - Dongnan Liu; Donghao Zhang; Yang Song 001; Heng Huang; Weidong Cai 001 (IEEE Trans. Image Process., 2021)

PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. - Dongnan Liu; Donghao Zhang; Yang Song 001; Fan Zhang 013; Lauren O'Donnell; Heng Huang; Mei Chen; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2021)

Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. - Qianbi Yu; Dongnan Liu; Chaoyi Zhang; Xinwen Zhang; Weidong Cai 001 (BMVC, 2022)

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. - Canran Li; Dongnan Liu; Haoran Li; Zheng Zhang 006; Guangming Lu 002; Xiaojun Chang; Weidong Cai 001 (MICCAI (8), 2022)

Diffusion MRI Fibre Orientation Distribution Inpainting. - Zihao Tang; Xinyi Wang; Mariano Cabezas; Arkiev D'Souza; Fernando Calamante; Dongnan Liu; Michael Barnett 006; Chenyu Wang 001; Tom Weidong Cai (CDMRI@MICCAI, 2022)

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. - Dongnan Liu; Mariano Cabezas; Dongang Wang; Zihao Tang; Lei Bai 001; Geng Zhan; Yuling Luo; Kain Kyle; Linda Ly; James Yu; Chun-Chien Shieh; Aria Nguyen; et al. (CoRR, 2022)

TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging. - Zihao Tang; Xinyi Wang; Lihaowen Zhu; Mariano Cabezas; Dongnan Liu; Michael Barnett 006; Weidong Cai 001; Chenyu Wang 001 (CoRR, 2022)

Towards bi-directional skip connections in encoder-decoder architectures and beyond. - Tiange Xiang; Chaoyi Zhang; Xinyi Wang; Yang Song 001; Dongnan Liu; Heng Huang; Weidong Cai 001 (Medical Image Anal., 2022)

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. - Yang Ma; Chaoyi Zhang; Mariano Cabezas; Yang Song 001; Zihao Tang; Dongnan Liu; Weidong Cai 001; Michael Barnett 006; Chenyu Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. - Tiange Xiang; Yang Song 001; Chaoyi Zhang; Dongnan Liu; Mei Chen; Fan Zhang 013; Heng Huang; Lauren O'Donnell; Weidong Cai 001 (IEEE Trans. Medical Imaging, 2022)

Multi-modal Domain Adaptation for Text Visual Question Answering Tasks. - Zhiyuan Li; Dongnan Liu; Weidong Cai 001 (DICTA, 2023)

Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification. - Yixiong Shi; Chenyu Wang 001; Dongnan Liu; Weidong Cai 001; Mariano Cabezas (DICTA, 2023)

Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. - Jianan Fan; Dongnan Liu; Hang Chang; Heng Huang; Mei Chen; Weidong Cai 001 (ICCV, 2023)

Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features. - Yuxiang An; Dongnan Liu; Weidong Cai 001 (ICME, 2023)

ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis. - Zhuonan Liang; Dongnan Liu; Yuqing Yang; Caiyun Sun; Weidong Cai 001; Peng Fu 003 (ICONIP (14), 2023)

Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI. - Sheng Chen; Zihao Tang; Dongnan Liu; Ché Fornusek; Michael Barnett 006; Chenyu Wang 001; Mariano Cabezas; Weidong Cai 001 (ISBI, 2023)

A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject. - Hao Xu 042; Tengfei Xue; Dongnan Liu; Fan Zhang 013; Carl-Fredrik Westin; Ron Kikinis; Lauren J. O'Donnell; Weidong Cai 001 (ISBI, 2023)

SynthMix: Mixing Up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. - Xinwen Zhang; Chaoyi Zhang; Dongnan Liu; Qianbi Yu; Weidong Cai 001 (ISBI, 2023)

Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. - Ziqiao Weng; Jiancheng Yang; Dongnan Liu; Tom Weidong Cai (MICCAI (7), 2023)

ODM3D: Alleviating Foreground Sparsity for Enhanced Semi-Supervised Monocular 3D Object Detection. - Weijia Zhang; Dongnan Liu; Chao Ma 004; Weidong Cai 001 (CoRR, 2023)

Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. - Dongnan Liu; Chaoyi Zhang; Yang Song 001; Heng Huang; Chenyu Wang 001; Michael Barnett 006; Tom Weidong Cai (IEEE Trans. Multim., 2023)

Enhancing Robustness to Noise Corruption for Point Cloud Recognition via Spatial Sorting and Set-Mixing Aggregation Module. - Dingxin Zhang 001; Jianhui Yu; Tengfei Xue; Chaoyi Zhang; Dongnan Liu; Weidong Cai 001 (ACCV (9), 2024)

Unsupervised Domain Adaptation for Tubular Structure Segmentation Across Different Anatomical Sources. - Yuxiang An; Dongnan Liu; Weidong Cai 001 (BMVC, 2024)

Rethinking Domain Adaptive Optic Disc and Cup Segmentation in Fundus Image through Dynamic Diffusion Flow. - Canran Li; Dongnan Liu; Weidong Cai 001 (BMVC, 2024)

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. - Jianan Fan; Dongnan Liu; Hang Chang; Heng Huang; Mei Chen; Weidong Cai 001 (CVPR, 2024)

LaPA: Latent Prompt Assist Model for Medical Visual Question Answering. - Tiancheng Gu; Kaicheng Yang 002; Dongnan Liu; Weidong Cai 001 (CVPR Workshops, 2024)

Multi-Source Unsupervised Domain Adaptation for Neuron Membrane Segmentation via Feature Enhancement. - Yuxiang An; Dongnan Liu; Weidong Cai 001 (DICTA, 2024)

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. - Jianan Fan; Dongnan Liu; Canran Li; Hang Chang; Heng Huang; Filip Braet; Mei Chen; Tom Weidong Cai (ECCV (73), 2024)

RWKV-CLIP: A Robust Vision-Language Representation Learner. - Tiancheng Gu; Kaicheng Yang 002; Xiang An; Ziyong Feng; Dongnan Liu; Weidong Cai 001; Jiankang Deng (EMNLP, 2024)

Enhancing Advanced Visual Reasoning Ability of Large Language Models. - Zhiyuan Li; Dongnan Liu; Chaoyi Zhang; Heng Wang 007; Tengfei Xue; Weidong Cai 001 (EMNLP, 2024)

Cross-Domain Exemplars for Cell Counting. - Veena Dodballapur; Dongnan Liu; Yang Song 001; Weidong Cai 001 (ISBI, 2024)

Multi-Source-Free Domain Adaptation via Uncertainty-Aware Adaptive Distillation. - Yaxuan Song; Jianan Fan; Dongnan Liu; Weidong Cai 001 (ISBI, 2024)

GroupLearning: Label Noise Mitigation Through Multi-Expert Collaboration for Medical Image Analysis. - Qinyi Cao; Dongnan Liu; Jianan Fan; Weidong Cai 001 (IVCNZ, 2024)

Disentanglement-Based Unsupervised Domain Adaptation for Nuclei Instance Segmentation. - Jieting Long; Dongnan Liu; Zihao Tang; Weidong Cai 001 (IVCNZ, 2024)

Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View. - Mingyu Sheng; Jianan Fan; Dongnan Liu; Ron Kikinis; Tom Weidong Cai (MCHM@MM, 2024)

Cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. - Yui Lo; Yuqian Chen; Dongnan Liu; Wan Liu 001; Leo R. Zekelman; Fan Zhang 013; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Weidong Cai 001; Lauren J. O'Donnell (CDMRI@MICCAI, 2024)

SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt. - Hao Xu 042; Tengfei Xue; Dongnan Liu; Fan Zhang 013; Carl-Fredrik Westin; Ron Kikinis; Lauren J. O'Donnell; Weidong Cai 001 (MedAGI@MICCAI, 2024)

Cross-View Consistency Regularisation for Knowledge Distillation. - Weijia Zhang; Dongnan Liu; Weidong Cai 001; Chao Ma 004 (ACM Multimedia, 2024)

Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation. - Zhiyuan Li; Dongnan Liu; Heng Wang 007; Chaoyi Zhang; Weidong Cai 001 (MMAsia, 2024)

Complex Organ Mask Guided Radiology Report Generation. - Tiancheng Gu; Dongnan Liu; Zhiyuan Li; Weidong Cai 001 (WACV, 2024)

Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection. - Weijia Zhang; Dongnan Liu; Chao Ma 004; Tom Weidong Cai (WACV, 2024)

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. - Lei Bai 001; Dongang Wang; Hengrui Wang; Michael Barnett 006; Mariano Cabezas; Weidong Cai 001; Fernando Calamante; Kain Kyle; Dongnan Liu; Linda Ly; Aria Nguyen; Chun-Chien Shieh; et al. (Artif. Intell. Medicine, 2024)

Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module. - Dingxin Zhang 001; Jianhui Yu; Tengfei Xue; Chaoyi Zhang; Dongnan Liu; Tom Weidong Cai (CoRR, 2024)

White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. - Yui Lo; Yuqian Chen; Fan Zhang 013; Dongnan Liu; Leo R. Zekelman; Suheyla Cetin Karayumak; Yogesh Rathi; Tom Weidong Cai; Lauren J. O'Donnell (CoRR, 2024)

Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese Images. - Zhiyuan Li; Heng Wang 007; Dongnan Liu; Chaoyi Zhang; Ao Ma; Jieting Long; Tom Weidong Cai (CoRR, 2024)

The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study. - Yui Lo; Yuqian Chen; Dongnan Liu; Wan Liu 001; Leo R. Zekelman; Jarrett Rushmore; Fan Zhang 013; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Weidong Cai 001; Lauren J. O'Donnell (CoRR, 2024)

Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation. - Jianan Fan; Dongnan Liu; Hang Chang; Tom Weidong Cai (Int. J. Comput. Vis., 2024)

Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities. - Zhiyuan Li; Heng Wang 007; Dongnan Liu; Chaoyi Zhang; Ao Ma; Jieting Long; Weidong Cai 001 (ACL (Findings), 2025)

Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness. - Hao Xu 042; Tengfei Xue; Jianan Fan; Dongnan Liu; Yuqian Chen; Fan Zhang 013; Carl-Fredrik Westin; Ron Kikinis; Lauren J. O'Donnell; Weidong Cai 001 (IPMI (1), 2025)

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. - Yui Lo; Yuqian Chen; Dongnan Liu; Jon Haitz Legarreta; Leo R. Zekelman; Fan Zhang 013; Jarrett Rushmore; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Tom Weidong Cai; Lauren J. O'Donnell (ISBI, 2025)

ORID: Organ-Regional Information Driven Framework for Radiology Report Generation. - Tiancheng Gu; Kaicheng Yang 002; Xiang An; Ziyong Feng; Dongnan Liu; Tom Weidong Cai (WACV, 2025)

AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation. - Mingyu Sheng; Jianan Fan; Dongnan Liu; Ron Kikinis; Weidong Cai 001 (WACV, 2025)

Dance any Beat: Blending Beats with Visuals in Dance Video Generation. - Xuanchen Wang; Heng Wang 007; Dongnan Liu; Weidong Cai 001 (WACV, 2025)

Contrastive Neuron Pruning for Backdoor Defense. - Yu Feng; Benteng Ma; Dongnan Liu; Yanning Zhang 001; Tom Weidong Cai; Yong Xia 001 (IEEE Trans. Image Process., 2025)

RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation Paradigm. - Tiancheng Gu; Kaicheng Yang 002; Chaoyi Zhang; Yin Xie; Xiang An; Ziyong Feng; Dongnan Liu; Tom Weidong Cai; Jiankang Deng (CoRR, 2025)

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention. - Tianyi Wang; Jianan Fan; Dingxin Zhang 001; Dongnan Liu; Yong Xia 001; Heng Huang; Tom Weidong Cai (CoRR, 2025)

MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages. - Hao Xu 042; Tengfei Xue; Dongnan Liu; Yuqian Chen; Fan Zhang 013; Carl-Fredrik Westin; Ron Kikinis; Lauren J. O'Donnell; Weidong Cai 001 (CoRR, 2025)

A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography. - Yui Lo; Yuqian Chen; Dongnan Liu; Leo R. Zekelman; Jarrett Rushmore; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Fan Zhang 013; Tom Weidong Cai; Lauren J. O'Donnell (CoRR, 2025)

On the Theory of Conditional Feature Alignment for Unsupervised Domain-Adaptive Counting. - Zhuonan Liang; Dongnan Liu; Jianan Fan; Yaxuan Song; Qiang Qu; Yu Yao; Peng Fu 003; Tom Weidong Cai (CoRR, 2025)

ScSAM: Debiasing Morphology and Distributional Variability in Subcellular Semantic Segmentation. - Bo Fang; Jianan Fan; Dongnan Liu; Hang Chang; Gerald J. Shami; Filip Braet; Weidong Cai 001 (CoRR, 2025)