most citedExamining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2023

Dual Conditioned Diffusion Models for Out-Of-Distribution Detection: Application to Fetal Ultrasound Videos

Divyanshu Mishra, He Zhao, Pramit Saha +2

Out-of-distribution (OOD) detection is essential to improve the reliability of machine learning models by detecting samples that do not belong to the training distribution. Detecti…

cs.CV2023

Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment

Felix Wagner, Zeju Li, Pramit Saha +1

Deployment of Deep Neural Networks in medical imaging is hindered by distribution shift between training data and data processed after deployment, causing performance degradation.…