research
∙
07/18/2022
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding
To bridge the gap between supervised semantic segmentation and real-worl...
share
research
∙
06/29/2022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Domain generalization typically requires data from multiple source domai...
research
∙
09/19/2021
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
Domain adaptation typically requires to access source domain data to uti...
research
∙
06/16/2021
Federated Semi-supervised Medical Image Classification via Inter-client Relation Matching
Federated learning (FL) has emerged with increasing popularity to collab...
research
∙
03/10/2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Federated learning allows distributed medical institutions to collaborat...
research
∙
09/15/2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global...
research
∙
07/04/2020
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains
Model generalization capacity at domain shift (e.g., various imaging pro...
research
∙
06/06/2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening
Deep learning approaches have demonstrated remarkable progress in automa...
research
∙
05/15/2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model
Training deep neural networks usually requires a large amount of labeled...
research
∙
02/09/2020
MS-Net: Multi-Site Network for Improving Prostate Segmentation with Heterogeneous MRI Data
Automated prostate segmentation in MRI is highly demanded for computer-a...
research
∙
01/06/2020