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ORCIDDongnan Liu
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2020 – today
- 2024
[j8]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: 102872 (2024)- [j7]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): 2861-2884 (2024) - [c32]Tiancheng Gu, Kaicheng Yang, Dongnan Liu, Weidong Cai:
LaPA: Latent Prompt Assist Model for Medical Visual Question Answering. CVPR Workshops 2024: 4971-4980 - [c31]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CVPR 2024: 11524-11534 - [c30]Veena Dodballapur, Dongnan Liu, Yang Song, Weidong Cai:
Cross-Domain Exemplars for Cell Counting. ISBI 2024: 1-5 - [c29]Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai:
Multi-Source-Free Domain Adaptation via Uncertainty-Aware Adaptive Distillation. ISBI 2024: 1-5 - [c28]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt. MedAGI@MICCAI 2024: 71-80 - [c27]Weijia Zhang, Dongnan Liu, Weidong Cai, Chao Ma:
Cross-View Consistency Regularisation for Knowledge Distillation. ACM Multimedia 2024: 2011-2020 - [c26]Weijia Zhang, Dongnan Liu, Chao Ma, Tom Weidong Cai:
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection. WACV 2024: 7527-7537 - [c25]Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai:
Complex Organ Mask Guided Radiology Report Generation. WACV 2024: 7980-7989 - [i36]Jianan Fan, Dongnan Liu, Hang Chang, Weidong Cai:
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation. CoRR abs/2401.09496 (2024) - [i35]Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai:
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation. CoRR abs/2402.06213 (2024) - [i34]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CoRR abs/2403.01053 (2024) - [i33]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 abs/2403.19001 (2024) - [i32]Tiancheng Gu, Kaicheng Yang, Dongnan Liu, Tom Weidong Cai:
LaPA: Latent Prompt Assist Model For Medical Visual Question Answering. CoRR abs/2404.13039 (2024) - [i31]Xuanchen Wang, Heng Wang, Dongnan Liu, Weidong Cai:
Dance Any Beat: Blending Beats with Visuals in Dance Video Generation. CoRR abs/2405.09266 (2024) - [i30]Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng:
RWKV-CLIP: A Robust Vision-Language Representation Learner. CoRR abs/2406.06973 (2024) - [i29]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 abs/2407.10806 (2024) - [i28]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 abs/2407.12870 (2024) - [i27]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 abs/2407.19460 (2024) - [i26]Zhiyuan Li, Heng Wang, Dongnan Liu, Chaoyi Zhang, Ao Ma, Jieting Long, Tom Weidong Cai:
Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese Images. CoRR abs/2408.08105 (2024) - [i25]Mingyu Sheng, Jianan Fan, Dongnan Liu, Ron Kikinis, Weidong Cai:
Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View. CoRR abs/2408.14789 (2024) - [i24]Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Tom Weidong Cai:
Enhancing Advanced Visual Reasoning Ability of Large Language Models. CoRR abs/2409.13980 (2024) - 2023
- [j6]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: 1333-1344 (2023) - [c24]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: 41-48 - [c23]Zhiyuan Li, Dongnan Liu, Weidong Cai:
Multi-modal Domain Adaptation for Text Visual Question Answering Tasks. DICTA 2023: 371-378 - [c22]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: 21117-21127 - [c21]Yuxiang An, Dongnan Liu, Weidong Cai:
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features. ICME 2023: 948-953 - [c20]Zhuonan Liang, Dongnan Liu, Yuqing Yang, Caiyun Sun, Weidong Cai, Peng Fu:
ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis. ICONIP (14) 2023: 535-551 - [c19]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: 1-5 - [c18]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: 1-5 - [c17]Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Weidong Cai:
SynthMix: Mixing Up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. ISBI 2023: 1-5 - [c16]Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai:
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. MICCAI (7) 2023: 382-392 - [i23]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 abs/2303.14371 (2023) - [i22]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 abs/2304.14053 (2023) - [i21]Yuxiang An, Dongnan Liu, Weidong Cai:
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features. CoRR abs/2305.02569 (2023) - [i20]Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Tom Weidong Cai:
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. CoRR abs/2305.04156 (2023) - [i19]Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai:
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. CoRR abs/2306.07089 (2023) - [i18]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 abs/2307.14709 (2023) - [i17]Zhiyuan Li, Dongnan Liu, Heng Wang, Chaoyi Zhang, Weidong Cai:
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation. CoRR abs/2307.14750 (2023) - [i16]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 abs/2308.16376 (2023) - [i15]Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai:
ODM3D: Alleviating Foreground Sparsity for Enhanced Semi-Supervised Monocular 3D Object Detection. CoRR abs/2310.18620 (2023) - [i14]Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai:
Complex Organ Mask Guided Radiology Report Generation. CoRR abs/2311.02329 (2023) - 2022
- [j5]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: 102420 (2022) - [j4]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): 2680-2692 (2022) - [j3]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): 2180-2190 (2022) - [c15]Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai:
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. BMVC 2022: 237 - [c14]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: 65-76 - [c13]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: 715-724 - [i13]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 abs/2201.01929 (2022) - [i12]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 abs/2203.05709 (2022) - [i11]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 abs/2205.01509 (2022) - [i10]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 abs/2207.01233 (2022) - [i9]Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai:
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. CoRR abs/2210.04379 (2022) - [i8]Zihao Tang, Xinyi Wang, Lihaowen Zhu, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang:
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging. CoRR abs/2210.17076 (2022) - 2021
- [j2]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: 2045-2059 (2021) - [j1]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): 154-165 (2021) - [c12]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: 229-238 - [c11]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: 660-669 - [i7]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 abs/2104.10029 (2021) - [i6]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 abs/2106.14033 (2021) - [i5]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 abs/2109.05788 (2021) - [i4]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 abs/2112.04863 (2021) - 2020
- [c10]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: 4242-4251 - [c9]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: 1775-1779 - [c8]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: 74-84 - [i3]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 abs/2002.06345 (2020) - [i2]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 abs/2005.02066 (2020) - [i1]Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. CoRR abs/2007.00243 (2020)
2010 – 2019
- 2019
- [c7]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: 563-573 - [c6]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: 861-868 - [c5]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: 264-272 - 2018
- [c4]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: 2212-2220 - [c3]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: 2461-2465 - [c2]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: 444-454 - [c1]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: 237-244
Coauthor Index
[j8] [j7] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [j6] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [j5] [j4] [j3] [c15] [c14] [c13] [i13] [i12] [i11] [i10] [i9] [i8] [j2] [j1] [c12] [c11] [i7] [i6] [i5] [i4] [c10] [c9] [c8] [i3] [i2] [i1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
Lauren O'Donnell
aka: Lauren J. O'Donnell
aka: Lauren J. O'Donnell
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