Dongnan Liu

According to our database, Dongnan Liu authored at least 43 papers between 2018 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2024

Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation.

Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai

CoRR, 2024

Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation.

Jianan Fan, Dongnan Liu, Hang Chang, Weidong Cai

CoRR, 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

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

Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training.

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

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