research
∙
07/10/2023
Source-Free Open-Set Domain Adaptation for Histopathological Images via Distilling Self-Supervised Vision Transformer
There is a strong incentive to develop computational pathology models to...
share
research
∙
03/17/2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
Most recent test-time adaptation methods focus on only classification ta...
research
∙
05/23/2022
OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift
As distribution shifts are inescapable in realistic clinical scenarios d...
research
∙
10/05/2021
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation
In medical image segmentation, supervised deep networks' success comes a...
research
∙
03/09/2021
Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images
Interactive simulation of ultrasound imaging greatly facilitates sonogra...
research
∙
03/05/2021
