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eess.IV2024
Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium
Haris Shuaib, Gareth J Barker, Peter Sasieni +16
Objective: To report imaging protocol and scheduling variance in routine care of glioblastoma patients in order to demonstrate challenges of integrating deep-learning models in gli…
eess.IV2020
Enhancing Fiber Orientation Distributions using convolutional Neural Networks
Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia +4
Accurate local fiber orientation distribution (FOD) modeling based on diffusion magnetic resonance imaging (dMRI) capable of resolving complex fiber configurations benefits from sp…