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cs.CV2026
Multi-Task Learning with Additive U-Net for Image Denoising and Classification
Vikram Lakkavalli, Neelam Sinha
We investigate additive skip fusion in U-Net architectures for image denoising and denoising-centric multi-task learning (MTL). By replacing concatenative skips with gated additive…
cs.CV2025
Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels
Snigdha Agarwal, Neelam Sinha
Deep Convolutional Neural Networks have consistently proven to achieve state-of-the-art results on a lot of imaging tasks over the past years' majority of which comprise of high-qu…
cs.CV2025
Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis
Snigdha Agarwal, Ganaraja V H, Neelam Sinha +3
Introduction: Tuberculous meningitis (TBM) is a serious brain infection caused by Mycobacterium tuberculosis, characterized by inflammation of the meninges covering the brain and s…