9 citations · 21 across the 8 of their papers we have counts for
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cs.CV2024
Data Alignment for Zero-Shot Concept Generation in Dermatology AI
Soham Gadgil, Mahtab Bigverdi
AI in dermatology is evolving at a rapid pace but the major limitation to training trustworthy classifiers is the scarcity of data with ground-truth concept level labels, which are…
cs.CV2023
Classification for everyone : Building geography agnostic models for fairer recognition
Akshat Jindal, Shreya Singh, Soham Gadgil
In this paper, we analyze different methods to mitigate inherent geographical biases present in state of the art image classification models. We first quantitatively present this b…
cs.CV2021★ 7 cited
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Soham Gadgil, Mark Endo, Emily Wen +2
Medical image segmentation models are typically supervised by expert annotations at the pixel-level, which can be expensive to acquire. In this work, we propose a method that combi…