Donghuan Lu

发表

Alzheimer ’ s Disease Neuroimaging Initiativea Multivariate association between single-nucleotide polymorphisms in Alzgene linkage regions and structural changes in the brain : discovery , refinement and validation

M. Beg, F. Nathoo, E. Szefer, 2017 .

Cortical Geometry Network and Topology Markers for Parkinson's Disease

Mirza Faisal Beg, Karteek Popuri, Donghuan Lu, 2016, 1611.04393.

Deep Neural Network Based Quantification of Retinal Optical Coherence Tomography Images

Myeong Jin Ju, Mirza Faisal Beg, Pavle Prentasic, 2018 .

Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation

Yefeng Zheng, Donghuan Lu, Kai Ma, 2022, ECCV.

Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks

M. Beg, Donghuan Lu, M. Sarunic, 2022, Comput. Biol. Medicine.

Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration

Zhe Xu, Yefeng Zheng, Donghuan Lu, 2022, MICCAI.

Cross-modal coherent registration of whole mouse brains

Hanchuan Peng, Yefeng Zheng, Lei Qu, 2021, Nature Methods.

Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database

Lei Wang, Mirza Faisal Beg, Karteek Popuri, 2018, Human brain mapping.

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging

Lei Wang, Mirza Faisal Beg, Karteek Popuri, 2017, NeuroImage: Clinical.

Multiscale deep neural network based analysis of FDG‐PET images for the early diagnosis of Alzheimer's disease

Mirza Faisal Beg, Karteek Popuri, Gavin Weiguang Ding, 2018, Medical Image Anal..

Morphological diversity of single neurons in molecularly defined cell types

Staci A. Sorensen, Julie A. Harris, Karla E. Hirokawa, 2021, Nature.

RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training

Yefeng Zheng, Liansheng Wang, Donghuan Lu, 2023, ArXiv.

RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

Keshab K. Parhi, Ulas Bagci, Jayanthi Sivaswamy, 2019, IEEE Transactions on Medical Imaging.

Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data

Zhe Xu, Yefeng Zheng, Donghuan Lu, 2022, MICCAI.

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation pdf

Jayender Jagadeesan, Kai Ma, Jie Luo, 2021, MICCAI.

Deep‐learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network

Marinko V Sarunic, Mirza Faisal Beg, Gavin Weiguang Ding, 2019, Medical Image Anal..

MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation

Yefeng Zheng, Donghuan Lu, Yujia Xie, 2023, ArXiv.

Multi-Anchor Active Domain Adaptation for Semantic Segmentation pdf

Donghuan Lu, Chenglang Yuan, Munan Ning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

LF-UNet - A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images

Mirza Faisal Beg, Da Ma, Gavin Weiguang Ding, 2021, Comput. Medical Imaging Graph..

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Sterling C. Johnson, Mirza Faisal Beg, Karteek Popuri, 2017, ArXiv.

Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-based Abdominal Registration

Sarah F. Frisken, Zhe Xu, W. Wells, 2021, 2107.02433.

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration

Sarah F. Frisken, W. Wells, Yefeng Zheng, 2021, ArXiv.

M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities

J. Sun, Yefeng Zheng, Donghuan Lu, 2023, AAAI.

Cascaded Deep Neural Networks for Retinal Layer Segmentation of Optical Coherence Tomography with Fluid Presence pdf

Mirza Faisal Beg, Gavin Weiguang Ding, Morgan Heisler, 2019, ArXiv.

Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation

Zhe Xu, Yefeng Zheng, Donghuan Lu, 2022, IEEE Transactions on Medical Imaging.

Topology of Surface Displacement Shape Feature in Subcortical Structures

Mirza Faisal Beg, Karteek Popuri, Donghuan Lu, 2017, GRAIL/MFCA/MICGen@MICCAI.

Brain geometry persistent homology marker for Parkinson's disease

Mirza Faisal Beg, Karteek Popuri, Donghuan Lu, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

The Contribution Plot: Decomposition and Graphical Display of the RV Coefficient, with Application to Genetic and Brain Imaging Biomarkers of Alzheimer’s Disease

M. Beg, Donghuan Lu, J. Graham, 2019, Human Heredity.

Quality Control of Neuron Reconstruction Based on Deep Learning pdf

Kai Ma, Yefeng Zheng, Lijuan Liu, 2020, ArXiv.

Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images

Yuexiang Li, Donghuan Lu, Dong Wei, 2022, MICCAI.

Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on Structural Magnetic Resonance Images

Lei Wang, Mirza Faisal Beg, Karteek Popuri, 2020, Frontiers in Neuroscience.

Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network pdf

Mirza Faisal Beg, Gavin Weiguang Ding, Marinko Sarunic, 2017, ArXiv.

Cascade Dual-branch Deep Neural Networks for Retinal Layer and fluid Segmentation of Optical Coherence Tomography Incorporating Relative Positional Map

Mirza Faisal Beg, Da Ma, Gavin Weiguang Ding, 2020, MIDL.

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images

M. Beg, Donghuan Lu, G. Ding, 2017, Scientific Reports.

Deep Image Clustering with Category-Style Representation pdf

Kai Ma, Yefeng Zheng, Donghuan Lu, 2020, ECCV.

Fast Image Deblurring Algorithm Based on Normalized Sparsity Measure and Space-Frenquency Transformation

Shiyin Qin, Dong Yang, Donghuan Lu, 2012, 2012 International Conference on Computer Science and Service System.

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation

Yefeng Zheng, Donghuan Lu, Jie Luo, 2021, IEEE Journal of Biomedical and Health Informatics.

Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

Zhe Xu, Donghuan Lu, Yixin Wang, 2023, Medical Image Anal..

A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation

Yang Guo, Shuang Yu, Kai Ma, 2020, MICCAI.

Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations

Donghuan Lu, Hong Liu, Dong Wei, 2023, Medical Image Analysis.

You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray

Zhe Xu, J. Sun, Yefeng Zheng, 2023, MICCAI.

Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views

Donghuan Lu, Yefeng Zheng, Yuexiang Li, 2023, Medical physics.