2 citations · 2 across the 8 of their papers we have counts for
4 papers · 1 filter
Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening
Muskaan Chopra, Lorenz Sparrenberg, Jan H. Terheyden +1
Self-supervised learning (SSL) is now a standard way to pretrain medical image models, but performance is still mostly judged by downstream accuracy. For safety-critical screening…
From Retinal Pixels to Patients: Evolution of Deep Learning Research in Diabetic Retinopathy Screening
Muskaan Chopra, Lorenz Sparrenberg, Armin Berger +3
Diabetic Retinopathy (DR) remains a leading cause of preventable blindness, with early detection critical for reducing vision loss worldwide. Over the past decade, deep learning ha…
Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery
Muskaan Chopra, Prakash Chandra Chhipa, Gopal Mengi +2
This work presents a novel domain adaption paradigm for studying contrastive self-supervised representation learning and knowledge transfer using remote sensing satellite data. Maj…
Functional Knowledge Transfer with Self-supervised Representation Learning
Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi +7
This work investigates the unexplored usability of self-supervised representation learning in the direction of functional knowledge transfer. In this work, functional knowledge tra…