Jayesh Gangrade

Federated learning with adaptive reliability aware aggregation for privacy preserving healthcare IoT systems

Abstract Healthcare Internet of Things (IoT) devices generate vast amounts of sensitive patient data, creating significant privacy risks and regulatory challenges when processed through centralized architectures. Federated Learning (FL) offers a promising solution by enabling dec...

Urban building change detection with satellite imagery: a temporospatial attention Siamese SNUNet-ECAM framework

Abstract Urban building change monitoring on bi-temporal Very High Resolution (VHR) satellite imagery is critical for land-use monitoring, post-disaster assessment, and urban planning. We use LEVIR-CD, a public benchmark of 637 bi-temporal 1024 $$\times$$ 1024-pixel image pairs a...

Pseudo-RGB Slice Stacking in 2D ResUNet for High-Sensitivity Multiple Sclerosis Lesion Segmentation

Background: Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease of the central nervous system, affecting more than 2.8 million individuals worldwide. Automated segmentation of white matter lesions on fluid-attenuated inversion recovery (FLAIR) magnetic resonance...