research
∙
09/12/2023
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Recently, multi-modal vision-language foundation models have gained sign...
share
research
∙
04/12/2023
Few-shot Class-incremental Learning for Cross-domain Disease Classification
The ability to incrementally learn new classes from limited samples is c...
research
∙
11/15/2022
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans
Brain tumor segmentation based on multi-modal magnetic resonance imaging...
research
∙
05/28/2021
Audio-visual scene classification: analysis of DCASE 2021 Challenge submissions
This paper presents the details of the Audio-Visual Scene Classification...
research
∙
12/09/2020
AIDE: Annotation-efficient deep learning for automatic medical image segmentation
Accurate image segmentation is crucial for medical imaging applications....
research
∙
10/24/2018
AUNet: Breast Mass Segmentation of Whole Mammograms
Deep learning based segmentation has seen rapid development lately in bo...
research
∙
11/24/2017
