Dongnan Liu

According to our database, Dongnan Liu authored at least 65 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Contrastive Neuron Pruning for Backdoor Defense.

Yu Feng, Benteng Ma, Dongnan Liu, Yanning Zhang, Tom Weidong Cai, Yong Xia

IEEE Trans. Image Process., 2025

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., August, 2024

ORID: Organ-Regional Information Driven Framework for Radiology Report Generation.

Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Tom Weidong Cai

CoRR, 2024

AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation.

Mingyu Sheng, Jianan Fan, Dongnan Liu, Ron Kikinis, Tom Weidong Cai

CoRR, 2024

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds.

Yui Lo, Yuqian Chen, Dongnan Liu, Jon Haitz Legarreta, Leo R. Zekelman, Fan Zhang, Jarrett Rushmore, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell

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, Leo R. Zekelman, Jarrett Rushmore, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, 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, Dongnan Liu, Chaoyi Zhang, Ao Ma, Jieting Long, 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, Dongnan Liu, Leo R. Zekelman, Suheyla Cetin Karayumak, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell

CoRR, 2024

Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module.

Dingxin Zhang, Jianhui Yu, Tengfei Xue, Chaoyi Zhang, Dongnan Liu, Tom Weidong Cai

CoRR, 2024

Dance Any Beat: Blending Beats with Visuals in Dance Video Generation.

Xuanchen Wang, Heng Wang, Dongnan Liu, Weidong Cai

CoRR, 2024

Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction.

Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell

CoRR, 2024

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.

Lei Bai, Dongang Wang, Hengrui Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Geng Zhan, Wanli Ouyang, Chenyu Wang

Artif. Intell. Medicine, 2024

Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection.

Weijia Zhang, Dongnan Liu, Chao Ma, Tom Weidong Cai

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Complex Organ Mask Guided Radiology Report Generation.

Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation.

Zhiyuan Li, Dongnan Liu, Heng Wang, Chaoyi Zhang, Weidong Cai

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Cross-View Consistency Regularisation for Knowledge Distillation.

Weijia Zhang, Dongnan Liu, Weidong Cai, Chao Ma

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt.

Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai

Proceedings of the Foundation Models for General Medical AI, 2024

Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View.

Mingyu Sheng, Jianan Fan, Dongnan Liu, Ron Kikinis, Tom Weidong Cai

Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, 2024

Disentanglement-Based Unsupervised Domain Adaptation for Nuclei Instance Segmentation.

Jieting Long, Dongnan Liu, Zihao Tang, Weidong Cai

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

GroupLearning: Label Noise Mitigation Through Multi-Expert Collaboration for Medical Image Analysis.

Qinyi Cao, Dongnan Liu, Jianan Fan, Weidong Cai

Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Multi-Source-Free Domain Adaptation via Uncertainty-Aware Adaptive Distillation.

Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Cross-Domain Exemplars for Cell Counting.

Veena Dodballapur, Dongnan Liu, Yang Song, Weidong Cai

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Enhancing Advanced Visual Reasoning Ability of Large Language Models.

Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RWKV-CLIP: A Robust Vision-Language Representation Learner.

Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Multi-Source Unsupervised Domain Adaptation for Neuron Membrane Segmentation via Feature Enhancement.

Yuxiang An, Dongnan Liu, Weidong Cai

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

LaPA: Latent Prompt Assist Model for Medical Visual Question Answering.

Tiancheng Gu, Kaicheng Yang, Dongnan Liu, Weidong Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling.

Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Robustness to Noise Corruption for Point Cloud Recognition via Spatial Sorting and Set-Mixing Aggregation Module.

Dingxin Zhang, Jianhui Yu, Tengfei Xue, Chaoyi Zhang, Dongnan Liu, Weidong Cai

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement.

Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Tom Weidong Cai

IEEE Trans. Multim., 2023

ODM3D: Alleviating Foreground Sparsity for Enhanced Semi-Supervised Monocular 3D Object Detection.

Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai

CoRR, 2023

Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation.

Zhiyuan Li, Dongnan Liu, Heng Wang, Chaoyi Zhang, Weidong Cai

CoRR, 2023

Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset.

Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

SynthMix: Mixing Up Aligned Synthesis for Medical Cross-Modality Domain Adaptation.

Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Weidong Cai

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject.

Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI.

Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis.

Zhuonan Liang, Dongnan Liu, Yuqing Yang, Caiyun Sun, Weidong Cai, Peng Fu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features.

Yuxiang An, Dongnan Liu, Weidong Cai

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification.

Yixiong Shi, Chenyu Wang, Dongnan Liu, Weidong Cai, Mariano Cabezas

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Multi-modal Domain Adaptation for Text Visual Question Answering Tasks.

Zhiyuan Li, Dongnan Liu, Weidong Cai

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis.

Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai

IEEE Trans. Medical Imaging, 2022

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications.

Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang

IEEE J. Biomed. Health Informatics, 2022

Towards bi-directional skip connections in encoder-decoder architectures and beyond.

Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai

Medical Image Anal., 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, Weidong Cai, Chenyu Wang

CoRR, 2022

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning.

Dongnan Liu, Mariano Cabezas, Dongang Wang, Zihao Tang, Lei Bai, Geng Zhan, Yuling Luo, Kain Kyle, Linda Ly, James Yu, Chun-Chien Shieh, Aria Nguyen, Ettikan Kandasamy Karuppiah, Ryan Sullivan, Fernando Calamante, Michael Barnett, Wanli Ouyang, Weidong Cai, Chenyu Wang

CoRR, 2022

Diffusion MRI Fibre Orientation Distribution Inpainting.

Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Fernando Calamante, Dongnan Liu, Michael Barnett, Chenyu Wang, Tom Weidong Cai

Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling.

Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data.

Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images.

Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai

IEEE Trans. Medical Imaging, 2021

Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images.

Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai

IEEE Trans. Image Process., 2021

3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis.

Jianhui Yu, Chaoyi Zhang, Heng Wang, Dingxin Zhang, Yang Song, Tiange Xiang, Dongnan Liu, Weidong Cai

CoRR, 2021

BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation.

Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting.

Zihao Tang, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images.

Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai

CoRR, 2020

BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture.

Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation.

Zihao Tang, Donghao Zhang, Yang Song, Heng Wang, Dongnan Liu, Chaoyi Zhang, Siqi Liu, Hanchuan Peng, Weidong Cai

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting.

Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision.

Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion.

Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation.

Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang, Fan Zhang, Yong Xia, Lauren J. O'Donnell, Weidong Cai

Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018

Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis.

Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D Large Kernel Anisotropic Network for Brain Tumor Segmentation.

Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren J. O'Donnell, Weidong Cai

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images.

Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Large Kernel Refine Fusion Net for Neuron Membrane Segmentation.

Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018