1 citations · 1 across the 4 of their papers we have counts for
4 papers
DiSSECT: Structuring Transfer-Ready Medical Image Representations through Discrete Self-Supervision
Azad Singh, Deepak Mishra
Self-supervised learning (SSL) has emerged as a powerful paradigm for medical image representation learning, particularly in settings with limited labeled data. However, existing S…
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning
Azad Singh, Deepak Mishra
Self-supervised learning (SSL) has emerged as a promising paradigm for medical image analysis by harnessing unannotated data. Despite their potential, the existing SSL approaches o…
OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis
Vandan Gorade, Azad Singh, Deepak Mishra
Self-supervised learning (SSL) has emerged as a promising technique for analyzing medical modalities such as X-rays due to its ability to learn without annotations. However, conven…
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
Azad Singh, Vandan Gorade, Deepak Mishra
Self-supervised learning (SSL) is potentially useful in reducing the need for manual annotation and making deep learning models accessible for medical image analysis tasks. By leve…