Search Results for author:
Found 4 papers, 1 papers with code
Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies
Radiogenomic immune biomarkers have the potential to provide early treatment options to patients with glioblastoma.
Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium
Diffusion MRI is the most common non-structural imaging type, performed at every site.
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021
The small numbers of patient included in studies, the high risk of bias and concerns of applicability in the study designs (particularly in relation to the reference standard and patient selection due to confounding), and the low level of evidence, suggest that limited conclusions can be drawn from the data.
Enhancing Fiber Orientation Distributions using convolutional Neural Networks
We evaluate how well each CNN model can resolve local fiber orientation 1) when training and testing on datasets with the same dMRI acquisition protocol; 2) when testing on a dataset with a different dMRI acquisition protocol than used to train the CNN models; and 3) when testing on a dataset with a fewer number of gradient directions than used to train the CNN models.
