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20222026
most citedAn Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation

2 citations · 2 across the 7 of their papers we have counts for

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cs.CV2026

Partial Information Decomposition as a Multi-Contrast 3D MRI Selection Strategy for Resource-Constrained Deep Neural Network Training in Brain Tumor Segmentation

Agamdeep Chopra, Mehmet Kurt

Multi-contrast 3D MRI segmentation can be computationally demanding when all available sequences are used. We evaluate a pre-training Partial Information Decomposition framework th…

cs.CV2026

SFL-Net: Source-Factorized Latent Representation Learning for Multi-Contrast MRI to Tau-PET Synthesis

Agamdeep S. Chopra, Caitlin Neher, Tianyi Ren +3

Tau positron emission tomography supports Alzheimer's disease staging but is difficult to scale because of tracer, scanner, and radiation constraints. Synthesis from structural MRI…