5 papers · 1 filter
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…
Human Knowledge Integrated Multi-modal Learning for Single Source Domain Generalization
Ayan Banerjee, Kuntal Thakur, Sandeep Gupta
Generalizing image classification across domains remains challenging in critical tasks such as fundus image-based diabetic retinopathy (DR) grading and resting-state fMRI seizure o…
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…
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM
Payal Kamboj, Ayan Banerjee, Bin Xu +1
Rare events, due to their infrequent occurrences, do not have much data, and hence deep learning techniques fail in estimating the distribution for such data. Open-vocabulary model…
Framework for developing and evaluating ethical collaboration between expert and machine
Ayan Banerjee, Payal Kamboj, Sandeep Gupta
Precision medicine is a promising approach for accessible disease diagnosis and personalized intervention planning in high-mortality diseases such as coronary artery disease (CAD),…