Donghuan Lu
Donghuan Lu
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Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer’s disease using structural MR and FDG-PET images
D Lu, K Popuri, GW Ding, R Balachandar, MF Beg
Scientific reports 8 (1), 5697, 2018
Morphological diversity of single neurons in molecularly defined cell types
H Peng, P Xie, L Liu, X Kuang, Y Wang, L Qu, H Gong, S Jiang, A Li, ...
Nature 598 (7879), 174-181, 2021
RETOUCH: the retinal OCT fluid detection and segmentation benchmark and challenge
H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ...
IEEE transactions on medical imaging 38 (8), 1858-1874, 2019
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease
D Lu, K Popuri, GW Ding, R Balachandar, MF Beg, ...
Medical image analysis 46, 26-34, 2018
Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network
D Lu, M Heisler, S Lee, GW Ding, E Navajas, MV Sarunic, MF Beg
Medical image analysis 54, 100-110, 2019
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation
X Shi, D Wei, Y Zhang, D Lu, M Ning, J Chen, K Ma, Y Zheng
European Conference on Computer Vision, 151-168, 2022
Noisy labels are treasure: mean-teacher-assisted confident learning for hepatic vessel segmentation
Z Xu, D Lu, Y Wang, J Luo, J Jayender, K Ma, Y Zheng, X Li
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database
D Ma, K Popuri, M Bhalla, O Sangha, D Lu, J Cao, C Jacova, L Wang, ...
Human brain mapping 40 (5), 1507-1527, 2019
Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network
D Lu, M Heisler, S Lee, G Ding, MV Sarunic, MF Beg
arXiv preprint arXiv:1710.04778, 2017
Differential Diagnosis of Frontotemporal Dementia, Alzheimer's Disease, and Normal Aging Using a Multi-Scale Multi-Type Feature Generative Adversarial Deep Neural Network on …
D Ma, D Lu, K Popuri, L Wang, MF Beg, ...
Frontiers in Neuroscience 14, 853, 2020
All-around real label supervision: Cyclic prototype consistency learning for semi-supervised medical image segmentation
Z Xu, Y Wang, D Lu, L Yu, J Yan, J Luo, K Ma, Y Zheng, RK Tong
IEEE Journal of Biomedical and Health Informatics 26 (7), 3174-3184, 2022
Multi-Anchor Active Domain Adaptation for Semantic Segmentation
M Ning, D Lu, D Wei, C Bian, C Yuan, S Yu, K Ma, Y Zheng
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging
K Popuri, R Balachandar, K Alpert, D Lu, M Bhalla, IR Mackenzie, ...
NeuroImage: Clinical 18, 802-813, 2018
Deep image clustering with category-style representation
J Zhao, D Lu, K Ma, Y Zhang, Y Zheng
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Brain-wide single neuron reconstruction reveals morphological diversity in molecularly defined striatal, thalamic, cortical and claustral neuron types
H Peng, P Xie, L Liu, X Kuang, Y Wang, L Qu, H Gong, S Jiang, A Li, ...
Anti-interference from noisy labels: Mean-teacher-assisted confident learning for medical image segmentation
Z Xu, D Lu, J Luo, Y Wang, J Yan, K Ma, Y Zheng, RKY Tong
IEEE Transactions on Medical Imaging 41 (11), 3062-3073, 2022
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
Z Xu, Y Wang, D Lu, X Luo, J Yan, Y Zheng, RK Tong
Medical Image Analysis 88, 102880, 2023
LF-UNet–A novel anatomical-aware dual-branch cascaded deep neural network for segmentation of retinal layers and fluid from optical coherence tomography images
D Ma, D Lu, S Chen, M Heisler, S Dabiri, S Lee, H Lee, GW Ding, ...
Computerized Medical Imaging and Graphics 94, 101988, 2021
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data
Z Xu, D Lu, Y Wang, J Luo, D Wei, Y Zheng, RK Tong
International Conference on Medical Image Computing and Computer-Assisted …, 2022
Multivariate association between single-nucleotide polymorphisms in Alzgene linkage regions and structural changes in the brain: discovery, refinement and validation
E Szefer, D Lu, F Nathoo, MF Beg, J Graham, ...
Statistical applications in genetics and molecular biology 16 (5-6), 367-386, 2017
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