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11/28/2022
Class Adaptive Network Calibration
Recent studies have revealed that, beyond conventional accuracy, calibra...
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02/14/2022
GAMMA Challenge:Glaucoma grAding from Multi-Modality imAges
Color fundus photography and Optical Coherence Tomography (OCT) are the ...
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11/30/2021
The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
In spite of the dominant performances of deep neural networks, recent wo...
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09/30/2021
Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis
It is of importance to develop statistical techniques to analyze high-di...
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09/21/2021
Mixed-supervised segmentation: Confidence maximization helps knowledge distillation
Despite achieving promising results in a breadth of medical image segmen...
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04/18/2021
The hidden label-marginal biases of segmentation losses
Most segmentation losses are arguably variants of the Cross-Entropy (CE)...
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01/28/2021
Improving Neural Network Robustness through Neighborhood Preserving Layers
Robustness against adversarial attack in neural networks is an important...
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07/18/2020
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
Spectral clustering is one of the fundamental unsupervised learning meth...
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11/21/2019