4 papers
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…
A Novel Vascular Risk Scoring Framework for Quantifying Sex-Specific Cerebral Perfusion from 3D pCASL MRI
Sneha Noble, Neelam Sinha, Vaanathi Sundareshan +1
The influence of sex and age on cerebral perfusion is recognized, but the specific impacts on regional cerebral blood flow (CBF) and vascular risk remain to be fully characterized.…
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…
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…