Can we Adopt Self-supervised Pretraining for Chest X-Rays? - Arsh Verma; Makarand Tapaswi (CoRR, 2022)

How Can We Tame the Long-Tail of Chest X-ray Datasets? - Arsh Verma (CoRR, 2023)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 013; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (CoRR, 2023)

Using LLMs in Software Requirements Specifications: An Empirical Evaluation. - Madhava Krishna; Bhagesh Gaur; Arsh Verma; Pankaj Jalote (RE, 2024)

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. - Gregory Holste; Yiliang Zhou; Song Wang 026; Ajay Jaiswal; Mingquan Lin; Sherry Zhuge; Yuzhe Yang 003; Dongkyun Kim; Trong-Hieu Nguyen Mau; Minh-Triet Tran; Jaehyup Jeong; Wongi Park; et al. (Medical Image Anal., 2024)

Generalized Cross-Domain Multi-Label Few-Shot Learning for Chest X-Rays. - Aroof Aimen; Arsh Verma; Makarand Tapaswi; Narayanan C. Krishnan (ISBI, 2025)