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08/19/2023
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers
Multiple instance learning (MIL) was a weakly supervised learning approa...
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06/02/2023
NNMobile-Net: Rethinking CNN Design for Deep Learning-Based Retinopathy Research
Retinal diseases (RD) are the leading cause of severe vision loss or bli...
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03/31/2023
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry
Background: Alzheimer's Disease (AD) is the most common type of age-rela...
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02/08/2023
TetCNN: Convolutional Neural Networks on Tetrahedral Meshes
Convolutional neural networks (CNN) have been broadly studied on images,...
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02/06/2023
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
Non-mydriatic retinal color fundus photography (CFP) is widely available...
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02/06/2023
Optimal Transport Guided Unsupervised Learning for Enhancing low-quality Retinal Images
Real-world non-mydriatic retinal fundus photography is prone to artifact...
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10/17/2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
This paper studies 3D dense shape correspondence, a key shape analysis a...
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10/12/2022
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation
Lesion appearance is a crucial clue for medical providers to distinguish...
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10/20/2021