3 papers
cs.CV2026
EMMA: Extracting Multiple physical parameters from Multimodal Data
Farhat Shaikh, Ayan Banerjee, Sandeep Gupta
We introduce EMMA, a physics-informed multimodal framework that recovers all identifiable dynamical parameters of a system directly from raw video, audio, and image-based time-seri…
cs.LG2025
MedXAI: A Retrieval-Augmented and Self-Verifying Framework for Knowledge-Guided Medical Image Analysis
Midhat Urooj, Ayan Banerjee, Farhat Shaikh +2
Accurate and interpretable image-based diagnosis remains a fundamental challenge in medical AI, particularly under domain shifts and rare-class conditions. Deep learning models oft…
cs.CV2025
Single Domain Generalization in Diabetic Retinopathy: A Neuro-Symbolic Learning Approach
Midhat Urooj, Ayan Banerjee, Farhat Shaikh +2
Domain generalization remains a critical challenge in medical imaging, where models trained on single sources often fail under real-world distribution shifts. We propose KG-DG, a n…