Shweta Gangrade

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...