Dongnan Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 67

Top Topics

Domain Adaptation

Lesion Segmentation

Diffusion Tensor

Medical Imaging

Top Venues

Publications

Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. CoRR (2024)
Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng
RWKV-CLIP: A Robust Vision-Language Representation Learner. CoRR (2024)
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
Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CoRR (2024)
Tiancheng Gu, Kaicheng Yang, Dongnan Liu, Tom Weidong Cai
LaPA: Latent Prompt Assist Model For Medical Visual Question Answering. CoRR (2024)
Jianan Fan, Dongnan Liu, Hang Chang, Weidong Cai
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation. CoRR (2024)
Weijia Zhang, Dongnan Liu, Chao Ma, Tom Weidong Cai
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection. WACV (2024)
Dingxin Zhang, Jianhui Yu, Tengfei Xue, Chaoyi Zhang, Dongnan Liu, Tom Weidong Cai
Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module. CoRR (2024)
Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation. CoRR (2024)
Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CoRR (2024)
Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai
Complex Organ Mask Guided Radiology Report Generation. WACV (2024)
Yui Lo, Yuqian Chen, Fan Zhang, Dongnan Liu, Leo R. Zekelman, Suheyla Cetin Karayumak, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell
White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. CoRR (2024)
Jianan Fan, Dongnan Liu, Hang Chang, Tom Weidong Cai
Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation. Int. J. Comput. Vis. 132 (8) (2024)
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
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. Artif. Intell. Medicine 152 (2024)
Xuanchen Wang, Heng Wang, Dongnan Liu, Weidong Cai
Dance Any Beat: Blending Beats with Visuals in Dance Video Generation. CoRR (2024)
Zhiyuan Li, Dongnan Liu, Weidong Cai
Multi-modal Domain Adaptation for Text Visual Question Answering Tasks. DICTA (2023)
Yuxiang An, Dongnan Liu, Weidong Cai
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features. ICME (2023)
Yuxiang An, Dongnan Liu, Weidong Cai
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features. CoRR (2023)
Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai
A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject. ISBI (2023)
Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai
Complex Organ Mask Guided Radiology Report Generation. CoRR (2023)
Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. ICCV (2023)
Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Tom Weidong Cai
Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. IEEE Trans. Multim. 25 (2023)
Zhiyuan Li, Dongnan Liu, Heng Wang, Chaoyi Zhang, Weidong Cai
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation. CoRR (2023)
Lei Bai, Dongang Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Hengrui Wang, Geng Zhan, Wanli Ouyang, Chenyu Wang
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training. CoRR (2023)
Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. CoRR (2023)
Yixiong Shi, Chenyu Wang, Dongnan Liu, Weidong Cai, Mariano Cabezas
Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification. DICTA (2023)
Zhuonan Liang, Dongnan Liu, Yuqing Yang, Caiyun Sun, Weidong Cai, Peng Fu
ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis. ICONIP (14) (2023)
Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai
Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI. ISBI (2023)
Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai
Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI. CoRR (2023)
Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. MICCAI (7) (2023)
Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai
ODM3D: Alleviating Foreground Sparsity for Enhanced Semi-Supervised Monocular 3D Object Detection. CoRR (2023)
Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Tom Weidong Cai
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. CoRR (2023)
Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Weidong Cai
SynthMix: Mixing Up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. ISBI (2023)
Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Tom Weidong Cai
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. CoRR (2023)
Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai
A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject. CoRR (2023)
Zihao Tang, Xinyi Wang, Lihaowen Zhu, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chengyu Wang
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging. CoRR (2022)
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
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. CoRR (2022)
Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Tom Weidong Cai
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond. CoRR (2022)
Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling. CoRR (2022)
Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Weidong Cai
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement. CoRR (2022)
Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. CoRR (2022)
Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. IEEE Trans. Medical Imaging 41 (8) (2022)
Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. BMVC (2022)
Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. MICCAI (8) (2022)
Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
Towards bi-directional skip connections in encoder-decoder architectures and beyond. Medical Image Anal. 78 (2022)
Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Fernando Calamante, Dongnan Liu, Michael Barnett, Chenyu Wang, Tom Weidong Cai
Diffusion MRI Fibre Orientation Distribution Inpainting. CDMRI@MICCAI (2022)
Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Tom Weidong Cai, Michael Barnett, Chenyu Wang
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. CoRR (2021)
Zihao Tang, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang
LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. MICCAI (7) (2021)
Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. IEEE Trans. Medical Imaging 40 (1) (2021)
Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. MICCAI (1) (2021)
Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. IEEE Trans. Image Process. 30 (2021)
Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. CoRR (2021)
Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. CoRR (2021)
Jianhui Yu, Chaoyi Zhang, Heng Wang, Dingxin Zhang, Yang Song, Tiange Xiang, Dongnan Liu, Weidong Cai
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis. CoRR (2021)
Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. CVPR (2020)
Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. CoRR (2020)
Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai
Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. CoRR (2020)
Zihao Tang, Donghao Zhang, Yang Song, Heng Wang, Dongnan Liu, Chaoyi Zhang, Siqi Liu, Hanchuan Peng, Weidong Cai
3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation. ISBI (2020)
Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting. CoRR (2020)
Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. MICCAI (1) (2020)
Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai
Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. MICCAI (1) (2019)
Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang, Fan Zhang, Yong Xia, Lauren J. O'Donnell, Weidong Cai
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation. Australasian Conference on Artificial Intelligence (2019)
Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. IJCAI (2019)
Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai
Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. CVPR Workshops (2018)
Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. MICCAI (2) (2018)
Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren J. O'Donnell, Weidong Cai
3D Large Kernel Anisotropic Network for Brain Tumor Segmentation. ICONIP (7) (2018)
Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai
Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. ICIP (2018)