3 citations · 5 across the 3 of their papers we have counts for
5 papers
Using LLMs in Software Requirements Specifications: An Empirical Evaluation
Madhava Krishna, Bhagesh Gaur, Arsh Verma +1
The creation of a Software Requirements Specification (SRS) document is important for any software development project. Given the recent prowess of Large Language Models (LLMs) in…
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang +22
Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" $\unicode{x2013}$ there are a few common findings followed by many more rela…
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays
Aroof Aimen, Arsh Verma, Makarand Tapaswi +1
Real-world application of chest X-ray abnormality classification requires dealing with several challenges: (i) limited training data; (ii) training and evaluation sets that are der…
How Can We Tame the Long-Tail of Chest X-ray Datasets?
Arsh Verma
Chest X-rays (CXRs) are a medical imaging modality that is used to infer a large number of abnormalities. While it is hard to define an exhaustive list of these abnormalities, whic…
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Arsh Verma, Makarand Tapaswi
Chest radiograph (or Chest X-Ray, CXR) is a popular medical imaging modality that is used by radiologists across the world to diagnose heart or lung conditions. Over the last decad…