Blar i Department of Chemistry på emneord "deep learning"
Viser treff 1-2 av 2
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Deep-learning based reconstruction of dynamic non-Cartesian fMRI: Application to silent imaging
(Master thesis, 2023-06-02) -
Glioma Microstructure Modeling from Diffusion MRI: A Self-Supervised Deep Learning Approach
(Master thesis, 2023-06-02)Purpose: Gliomas are a highly heterogeneous group of primary brain tumors with poor prognosis, and treatment monitoring is challenging with its current diagnostic tool being invasive biopsy. In recent years, diffusion-weighted ...