A Novel Approach to Image Assessment by Seeking Unification of Subjective and Objective Criteria Based on Supervised Learning. - Pipei Huang; Shiyin Qin; Donghuan Lu (MIRAGE, 2011)

Septimu2 - earphones for continuous and non-intrusive physiological and environmental monitoring. - Pan Hu 003; Guobin Shen; Xiaofan Jiang 001; Shao-fu Shih; Donghuan Lu; Feng Zhao 001; Dezhi Hong; Qiang Li 025; S. M. Shahriar Nirjon; Robert F. Dickerson; John A. Stankovic (SenSys, 2012)

ViRi: view it right. - Pan Hu 003; Guobin Shen; Liqun Li; Donghuan Lu (MobiSys, 2013)

Brain geometry persistent homology marker for Parkinson's disease. - Amanmeet Garg; Donghuan Lu; Karteek Popuri; Mirza Faisal Beg (ISBI, 2017)

Multiple instance learning for age-related macular degeneration diagnosis in optical coherence tomography images. - Donghuan Lu; Gavin Weiguang Ding; Andrew B. Merkur; Marinko V. Sarunic; Mirza Faisal Beg (ISBI, 2017)

Topology of Surface Displacement Shape Feature in Subcortical Structures. - Amanmeet Garg; Donghuan Lu; Karteek Popuri; Mirza Faisal Beg (GRAIL/MFCA/MICGen@MICCAI, 2017)

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network. - Donghuan Lu; Morgan Heisler; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (CoRR, 2017)

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images. - Donghuan Lu; Karteek Popuri; Gavin Weiguang Ding; Rakesh Balachandar; Mirza Faisal Beg (CoRR, 2017)

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging. - Karteek Popuri; Rakesh Balachandar; Kathryn I. Alpert; Donghuan Lu; Mahadev Bhalla; Ian Mackenzie; Robin Ging-Yuek Hsiung; Lei Wang 032; Mirza Faisal Beg (CoRR, 2017)

Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease. - Donghuan Lu; Karteek Popuri; Gavin Weiguang Ding; Rakesh Balachandar; Mirza Faisal Beg (Medical Image Anal., 2018)

Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence. - Donghuan Lu; Morgan Heisler; Da Ma; Setareh Dabiri; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (CoRR, 2019)

Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network. - Donghuan Lu; Morgan Heisler; Sieun Lee; Gavin Weiguang Ding; Eduardo Navajas; Marinko V. Sarunic; Mirza Faisal Beg (Medical Image Anal., 2019)

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. - Hrvoje Bogunovic; Freerk G. Venhuizen; Sophie Klimscha; Stefanos Apostolopoulos; Alireza Bab-Hadiashar; Ulas Bagci; Mirza Faisal Beg; Loza Bekalo; Qiang Chen 004; Carlos Ciller; Karthik Gopinath; Amirali K. Gostar; et al. (IEEE Trans. Medical Imaging, 2019)

Deep Image Clustering with Category-Style Representation. - Junjie Zhao; Donghuan Lu; Kai Ma 002; Yu Zhang 185; Yefeng Zheng 001 (ECCV (14), 2020)

A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. - Munan Ning; Cheng Bian; Donghuan Lu; Hong-Yu Zhou; Shuang Yu; Chenglang Yuan; Yang Guo 003; Yaohua Wang; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2020)

Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map. - Da Ma; Donghuan Lu; Morgan Heisler; Setareh Dabiri; Sieun Lee; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (MIDL, 2020)

Quality Control of Neuron Reconstruction Based on Deep Learning. - Donghuan Lu; Sujun Zhao; Peng Xie; Kai Ma 002; Lijuan Liu; Yefeng Zheng 001 (CoRR, 2020)

Multi-Anchor Active Domain Adaptation for Semantic Segmentation. - Munan Ning; Donghuan Lu; Dong Wei 004; Cheng Bian; Chenglang Yuan; Shuang Yu; Kai Ma 002; Yefeng Zheng 001 (ICCV, 2021)

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. - Hong Liu; Dong Wei 004; Donghuan Lu; Yuexiang Li; Kai Ma 002; Liansheng Wang; Yefeng Zheng 001 (MICCAI (8), 2021)

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. - Zhe Xu 012; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Jagadeesan Jayender; Kai Ma 002; Yefeng Zheng 001; Xiu Li 001 (MICCAI (1), 2021)

LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images. - Da Ma; Donghuan Lu; Shuo Chen; Morgan Heisler; Setareh Dabiri; Sieun Lee; Hyunwoo Lee 007; Gavin Weiguang Ding; Marinko V. Sarunic; Mirza Faisal Beg (Comput. Medical Imaging Graph., 2021)

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. - Zhe Xu 012; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Jayender Jagadeesan; William M. Wells III; Sarah F. Frisken; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (CoRR, 2021)

Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network. - Da Ma; Donghuan Lu; Karteek Popuri; Mirza Faisal Beg (CoRR, 2021)

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. - Xinyu Shi; Dong Wei 004; Yu Zhang 185; Donghuan Lu; Munan Ning; Jiashun Chen; Kai Ma 002; Yefeng Zheng 001 (ECCV (20), 2022)

MFVP: Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming. - Lei Zhang 066; Weizhen Xu; Donghuan Lu; Laizhong Cui; Jiangchuan Liu (ICME, 2022)

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. - Jiashun Chen; Donghuan Lu; Yu Zhang 185; Dong Wei 004; Munan Ning; Xinyu Shi; Zhe Xu 012; Yefeng Zheng 001 (MICCAI (6), 2022)

An Inclusive Task-Aware Framework for Radiology Report Generation. - Lin Wang 026; Munan Ning; Donghuan Lu; Dong Wei 004; Yefeng Zheng 001; Jie Chen 001 (MICCAI (8), 2022)

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. - Zhe Xu 012; Jie Luo 003; Donghuan Lu; Jiangpeng Yan; Sarah F. Frisken; Jayender Jagadeesan; William M. Wells III; Xiu Li 001; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (6), 2022)

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. - Zhe Xu 012; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Dong Wei 004; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (5), 2022)

Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images. - Wenguang Yuan; Donghuan Lu; Dong Wei 004; Munan Ning; Yefeng Zheng 001 (MICCAI (2), 2022)

mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains. - Yuanyuan Li; Jun Wu; Donghuan Lu; Chao Xu; Yefeng Zheng 001; Hanchuan Peng; Lei Qu (Bioinform., 2022)

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. - Zhe Xu 012; Yixin Wang 003; Donghuan Lu; Lequan Yu; Jiangpeng Yan; Jie Luo 003; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE J. Biomed. Health Informatics, 2022)

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. - Zhe Xu 012; Donghuan Lu; Jie Luo 003; Yixin Wang 003; Jiangpeng Yan; Kai Ma 002; Yefeng Zheng 001; Raymond Kai-Yu Tong (IEEE Trans. Medical Imaging, 2022)

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. - Hong Liu; Dong Wei 004; Donghuan Lu; Jinghan Sun; Liansheng Wang; Yefeng Zheng 001 (AAAI, 2023)

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. - Lianyu Zhou; Dong Wei 004; Donghuan Lu; Wei Xue; Liansheng Wang; Yefeng Zheng 001 (ISBI, 2023)

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. - Jinghan Sun; Dong Wei 004; Zhe Xu 012; Donghuan Lu; Hong Liu; Liansheng Wang; Yefeng Zheng 001 (MICCAI (1), 2023)

Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. - Zhe Xu 012; Donghuan Lu; Jiangpeng Yan; Jinghan Sun; Jie Luo 003; Dong Wei 004; Sarah F. Frisken; Quanzheng Li; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (4), 2023)

Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. - Zhe Xu 012; Jiangpeng Yan; Donghuan Lu; Yixin Wang 003; Jie Luo 003; Yefeng Zheng 001; Raymond Kai-Yu Tong (MICCAI (7), 2023)

A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. - Yinghao Zhang; Donghuan Lu; Munan Ning; Liansheng Wang; Dong Wei 004; Yefeng Zheng 001 (MICCAI (3), 2023)

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views. - Dong Wei 004; Yawen Huang; Donghuan Lu; Yuexiang Li; Yefeng Zheng 001 (CoRR, 2023)

Segmentation-guided domain adaptation and data harmonization of multi-device retinal optical coherence tomography using cycle-consistent generative adversarial networks. - 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 (Comput. Biol. Medicine, 2023)

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. - Zhe Xu 012; Yixin Wang 003; Donghuan Lu; Xiangde Luo; Jiangpeng Yan; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2023)

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. - Munan Ning; Donghuan Lu; Yujia Xie; Dongdong Chen 001; Dong Wei 004; Yefeng Zheng 001; Yonghong Tian 001; Shuicheng Yan; Li Yuan 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage. - Bo Liu 095; Donghuan Lu; Dong Wei 004; Xian Wu 001; Yan Wang 015; Yu Zhang 185; Yefeng Zheng 001 (IEEE Trans. Medical Imaging, 2023)

Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. - Hong Liu; Dong Wei 004; Donghuan Lu; Jinghan Sun; Hao Zheng 008; Yefeng Zheng 001; Liansheng Wang (MICCAI (9), 2024)

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. - Zhe Xu 012; Cheng Chen 013; Donghuan Lu; Jinghan Sun; Dong Wei 004; Yefeng Zheng 001; Quanzheng Li; Raymond Kai-Yu Tong (MICCAI (8), 2024)

Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. - Zhe Xu 012; Donghuan Lu; Jie Luo 003; Yefeng Zheng 001; Raymond Kai-Yu Tong (Medical Image Anal., 2024)

Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations. - Hong Liu; Dong Wei 004; Donghuan Lu; Xiaoying Tang 001; Liansheng Wang; Yefeng Zheng 001 (Medical Image Anal., 2024)

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation. - Jinghan Sun; Dong Wei 004; Zhe Xu 012; Donghuan Lu; Hong Liu; Hong Wang 021; Sotirios A. Tsaftaris; Steven McDonagh 001; Yefeng Zheng 001; Liansheng Wang (IEEE Trans. Medical Imaging, 2025)

IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain. - Hong Huang; Weixiang Sun; Zhijian Wu; Jingwen Niu; Donghuan Lu; Xian Wu 001; Yefeng Zheng 001 (CoRR, 2025)