research
∙
08/22/2023
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
Vision-language models (VLMs), such as CLIP and ALIGN, are generally tra...
share
research
∙
06/01/2023
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification
Interstitial lung diseases (ILD) present diagnostic challenges due to th...
research
∙
05/13/2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
Self-supervised learning (SSL) enables label efficient training for mach...
research
∙
01/30/2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
Image augmentations are quintessential for effective visual representati...
research
∙
01/30/2018
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning
Motivation: Biomedical named entity recognition (BioNER) is the most fun...
research
∙
12/11/2017
MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs
We introduce MURA, a large dataset of musculoskeletal radiographs contai...
research
∙
11/14/2017