Abhijit Guha Roy

Google (United States) — United States

Computer Science · Physical Sciences

22h-index3.9kcitations62works33.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Advanced Neural Network Applications(20), Medical Image Segmentation Techniques(19), Domain Adaptation and Few-Shot Learning(17), Radiomics and Machine Learning in Medical Imaging(17), AI in cancer detection(11)

Publications62 total

Evaluating medical AI systems in dermatology under uncertain ground truth
Medical Image Analysis·2025· 1 cited
Generative models improve fairness of medical classifiers under distribution shifts
Nature Medicine·2024· 98 citedOpen Access
MINT: A wrapper to make multi-modal and multi-image AI models interactive
arXiv (Cornell University)·2024· 1 citedOpen Access
Conformal prediction under ambiguous ground truth
arXiv (Cornell University)·2023· 1 citedOpen Access
Evaluating AI systems under uncertain ground truth: a case study in dermatology
arXiv (Cornell University)·2023· 1 citedOpen Access
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Nature Biomedical Engineering·2023· 210 cited
Generative models improve fairness of medical classifiers under distribution shifts
2023· 12 citedOpen Access
Generative models improve fairness of medical classifiers under distribution shifts
arXiv (Cornell University)·2023· 15 citedOpen Access
Few-shot segmentation of 3D medical images
Elsevier eBooks·2022· 3 cited
Robust and Efficient Medical Imaging with Self-Supervision
arXiv (Cornell University)·2022· 31 citedOpen Access
Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions
Medical Image Analysis·2021· 16 citedOpen Access
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection
arXiv (Cornell University)·2021· 71 citedOpen Access
Effect of MRI acquisition acceleration via compressed sensing and parallel imaging on brain volumetry
Magnetic Resonance Materials in Physics Biology and Medicine·2021· 31 citedOpen Access
Contrastive Training for Improved Out-of-Distribution Detection
arXiv (Cornell University)·2020· 52 citedOpen Access
Importance Driven Continual Learning for Segmentation Across Domains
arXiv (Cornell University)·2020Open Access
Importance Driven Continual Learning for Segmentation Across Domains
Lecture notes in computer science·2020· 10 citedOpen Access
'Squeeze & excite' guided few-shot segmentation of volumetric images.
PubMed·2020· 52 citedOpen Access
‘Squeeze & excite’ guided few-shot segmentation of volumetric images
Medical Image Analysis·2019· 163 cited
`Project & Excite' Modules for Segmentation of Volumetric Medical Scans
arXiv (Cornell University)·2019Open Access
`Project & Excite' Modules for Segmentation of Volumetric Medical Scans
arXiv (Cornell University)·2019· 7 citedOpen Access
page 1 of 4Next →

Frequent Co-authors

Nassir Navab(31), Christian Wachinger(28), Sailesh Conjeti(19), Debdoot Sheet(8), Amin Katouzian(8), Ali Taylan Cemgil(7), Shekoofeh Azizi(6), Alan Karthikesalingam(6), Sebastian Pölsterl(6), Pushmeet Kohli(5), Jim Winkens(4), Umesh Telang(4), Greg S. Corrado(4), Shayan Siddiqui(4), Ignacio Sarasúa(4), Sri Phani Krishna Karri(3), Jan Freyberg(3), Basil Mustafa(3), Patricia H. Strachan(3), Aaron Loh(3)