Donghuan Lu

69 papers A* 2A 3Misc 1Journal 39Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation.
IEEE Trans. Medical Imaging
Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2025 — conf
Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models.
MICCAI (14)
Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2025 J jnl
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain.
CoRR
Hong Huang, Weixiang Sun, Zhijian Wu, Jingwen Niu, Donghuan Lu, Xian Wu, Yefeng Zheng
2025 — conf
Improving Instance-Based Whole Slide Image Classification with Logit-Based Log-Sum-Exp Aggregator and Contextual Awareness.
BIBM
Wentao Pan, Donghuan Lu, Jiangpeng Yan, Zhe Xu, Conghao Xiong, Dong Wei, Xian Wu, Yixuan Yuan
2025 A conf
OpenDUN: To Discover Unknown Number of Visual Categories.
ICME
Sik Chit Wu, Munan Ning, Dong Wei, Yefeng Zheng, Donghuan Lu, Li Yuan
2025 J jnl
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation.
IEEE Trans. Medical Imaging
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2024 — conf
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation.
MICCAI (8)
Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2024 — conf
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets.
MICCAI (9)
Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang
2024 J jnl
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data.
Medical Image Anal.
Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2024 J jnl
Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations.
Medical Image Anal.
Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng
2024 J jnl
Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation.
CoRR
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
2023 — conf
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images.
MICCAI (3)
Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng
2023 J jnl
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
Medical Image Anal.
Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-Yu Tong
2023 J jnl
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views.
CoRR
Dong Wei, Yawen Huang, Donghuan Lu, Yuexiang Li, Yefeng Zheng
2023 — conf
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data.
MICCAI (4)
Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong
2023 J jnl
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage.
IEEE Trans. Medical Imaging
Bo Liu, Donghuan Lu, Dong Wei, Xian Wu, Yan Wang, Yu Zhang, Yefeng Zheng
2023 A* conf
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
AAAI
Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng
2023 J jnl
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities.
CoRR
Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng
2023 J jnl
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.
CoRR
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
2023 J jnl
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan
2023 — conf
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training.
ISBI
Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng
2023 J jnl
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training.
CoRR
Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng
2023 J jnl
Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks.
Comput. Biol. Medicine
Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg
2023 J jnl
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations.
CoRR
Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng
2023 — conf
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels.
MICCAI (7)
Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong
2023 — conf
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray.
MICCAI (1)
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng
2023 J jnl
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray.
CoRR
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng
2022 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022 — conf
An Inclusive Task-Aware Framework for Radiology Report Generation.
MICCAI (8)
Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen
2022 J jnl
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation.
IEEE Trans. Medical Imaging
Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2022 — conf
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.
MICCAI (6)
Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng
2022 J jnl
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration.
CoRR
Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng
2022 — conf
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data.
MICCAI (5)
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong
2022 — conf
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
ECCV (20)
Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng
2022 J jnl
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation.
CoRR
Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng
2022 — conf
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration.
MICCAI (6)
Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong
2022 A conf
MFVP: Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming.
ICME
Lei Zhang, Weizhen Xu, Donghuan Lu, Laizhong Cui, Jiangchuan Liu
2022 — conf
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images.
MICCAI (2)
Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng
2022 J jnl
Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks.
CoRR
Shuo Chen, Da Ma, Sieun Lee, Timothy T. L. Yu, Gavin Xu, Donghuan Lu, Karteek Popuri, Myeong Jin Ju, Marinko V. Sarunic, Mirza Faisal Beg
2022 J jnl
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
CoRR
Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng
2022 J jnl
mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains.
Bioinform.
YuanYuan Li, Jun Wu, Donghuan Lu, Chao Xu, Yefeng Zheng, Hanchuan Peng, Lei Qu
2021 J jnl
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation.
CoRR
Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021 J jnl
Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network.
CoRR
Da Ma, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg
2021 J jnl
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration.
CoRR
Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2021 J jnl
LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images.
Comput. Medical Imaging Graph.
Da Ma, Donghuan Lu, Shuo Chen, Morgan Heisler, Setareh Dabiri, Sieun Lee, Hyunwoo Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2021 A* conf
Multi-Anchor Active Domain Adaptation for Semantic Segmentation.
ICCV
Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng
2021 J jnl
Multi-Anchor Active Domain Adaptation for Semantic Segmentation.
CoRR
Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng
2021 — conf
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
MICCAI (1)
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li
2021 J jnl
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation.
CoRR
Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li
2021 — conf
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images.
MICCAI (8)
Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng
2020 — conf
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation.
MICCAI (5)
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
2020 J jnl
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation.
CoRR
Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng
2020 — conf
Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map.
MIDL
Da Ma, Donghuan Lu, Morgan Heisler, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2020 — conf
Deep Image Clustering with Category-Style Representation.
ECCV (14)
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng
2020 J jnl
Deep Image Clustering with Category-Style Representation.
CoRR
Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng
2020 J jnl
Quality Control of Neuron Reconstruction Based on Deep Learning.
CoRR
Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Lijuan Liu, Yefeng Zheng
2019 J jnl
Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence.
CoRR
Donghuan Lu, Morgan Heisler, Da Ma, Setareh Dabiri, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2019 J jnl
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network.
Medical Image Anal.
Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Weiguang Ding, Eduardo Navajas, Marinko V. Sarunic, Mirza Faisal Beg
2019 J jnl
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge.
IEEE Trans. Medical Imaging
Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth
2018 J jnl
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.
Medical Image Anal.
Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg
2017 — conf
Brain geometry persistent homology marker for Parkinson's disease.
ISBI
Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg
2017 J jnl
Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging.
CoRR
Karteek Popuri, Rakesh Balachandar, Kathryn I. Alpert, Donghuan Lu, Mahadev Bhalla, Ian Mackenzie, Robin Ging-Yuek Hsiung, Lei Wang, Mirza Faisal Beg
2017 J jnl
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images.
CoRR
Donghuan Lu, Karteek Popuri, Gavin Weiguang Ding, Rakesh Balachandar, Mirza Faisal Beg
2017 — conf
Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images.
ISBI
Donghuan Lu, Gavin Weiguang Ding, Andrew B. Merkur, Marinko V. Sarunic, Mirza Faisal Beg
2017 J jnl
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network.
CoRR
Donghuan Lu, Morgan Heisler, Sieun Lee, Gavin Weiguang Ding, Marinko V. Sarunic, Mirza Faisal Beg
2017 — conf
Topology of Surface Displacement Shape Feature in Subcortical Structures.
GRAIL/MFCA/MICGen@MICCAI
Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg
2013 A conf
ViRi: view it right.
MobiSys
Pan Hu, Guobin Shen, Liqun Li, Donghuan Lu
2012 Misc conf
Septimu
SenSys
Pan Hu, Guobin Shen, Xiaofan Jiang, Shao-Fu Shih, Donghuan Lu, Feng Zhao, Dezhi Hong, Qiang Li, S. M. Shahriar Nirjon, Robert F. Dickerson, John A. Stankovic
2011 — conf
A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning.
MIRAGE
Pipei Huang, Shiyin Qin, Donghuan Lu