research
∙
08/21/2023
DOMINO++: Domain-aware Loss Regularization for Deep Learning Generalizability
Out-of-distribution (OOD) generalization poses a serious challenge for m...
share
research
∙
02/13/2023
Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging
Parkinson's disease is the world's fastest growing neurological disorder...
research
∙
02/10/2023
DOMINO: Domain-aware Loss for Deep Learning Calibration
Deep learning has achieved the state-of-the-art performance across medic...
research
∙
02/06/2023
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images
Alzheimer's Disease (AD) is a progressive neurodegenerative disease and ...
research
∙
12/05/2022
FedTiny: Pruned Federated Learning Towards Specialized Tiny Models
Neural network pruning has been a well-established compression technique...
research
∙
09/13/2022
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
Model calibration measures the agreement between the predicted probabili...
research
∙
10/05/2021
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation
The diversity of retinal imaging devices poses a significant challenge: ...
research
∙
01/06/2020
Regression and Learning with Pixel-wise Attention for Retinal Fundus Glaucoma Segmentation and Detection
Observing retinal fundus images by an ophthalmologist is a major diagnos...
research
∙
10/20/2019
KRNET: Image Denoising with Kernel Regulation Network
One popular strategy for image denoising is to design a generalized regu...
research
∙
10/19/2019
Image Restoration Using Deep Regulated Convolutional Networks
While the depth of convolutional neural networks has attracted substanti...
research
∙
10/18/2019
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion
With substantial public concerns on potential cancer risks and health ha...
research
∙
10/16/2019
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
Recently, deep neural networks have demonstrated comparable and even bet...
research
∙
07/28/2017
Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising
In this work, we explore an innovative strategy for image denoising by u...
research
∙
07/17/2017
