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20162025
most citedMultimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

43 citations · 114 across the 25 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

eess.IV2021★ 1 cited

Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network

Da Ma, Donghuan Lu, Karteek Popuri +1

Frontotemporal dementia and Alzheimer's disease are two common forms of dementia and are easily misdiagnosed as each other due to their similar pattern of clinical symptoms. Differ…

eess.IV2021★ 1 cited

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

Zhe Xu, Yixin Wang, Donghuan Lu +6

Semi-supervised learning has substantially advanced medical image segmentation since it alleviates the heavy burden of acquiring the costly expert-examined annotations. Especially,…

cs.CV2021★ 3 cited

Multi-Anchor Active Domain Adaptation for Semantic Segmentation

Munan Ning, Donghuan Lu, Dong Wei +5

Unsupervised domain adaption has proven to be an effective approach for alleviating the intensive workload of manual annotation by aligning the synthetic source-domain data and the…

cs.CV2021★ 1 cited

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

Zhe Xu, Jie Luo, Donghuan Lu +7

In order to tackle the difficulty associated with the ill-posed nature of the image registration problem, regularization is often used to constrain the solution space. For most lea…

eess.IV2021★ 4 cited

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

Zhe Xu, Donghuan Lu, Yixin Wang +5

Manually segmenting the hepatic vessels from Computer Tomography (CT) is far more expertise-demanding and laborious than other structures due to the low-contrast and complex morpho…