3 papers
cs.CV2026
Few-Shot Concept Prompt Learning for Segmentation Foundation Models via Visual Grounding
Rahul Venkataramani, Rachana Sathish
Promptable segmentation foundation models (FMs) such as SAM3 and Medical SAM3 promise few-shot, interactively-specified segmentation for medical imaging through a natural language…
cs.CV2024
Synthetic Simplicity: Unveiling Bias in Medical Data Augmentation
Krishan Agyakari Raja Babu, Rachana Sathish, Mrunal Pattanaik +1
Synthetic data is becoming increasingly integral in data-scarce fields such as medical imaging, serving as a substitute for real data. However, its inherent statistical characteris…
cs.CV2018
Towards Continuous Domain adaptation for Healthcare
Rahul Venkataramani, Hariharan Ravishankar, Saihareesh Anamandra
Deep learning algorithms have demonstrated tremendous success on challenging medical imaging problems. However, post-deployment, these algorithms are susceptible to data distributi…