Alzheimer's Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Alzheimer's disease (AD) is a pressing global issue, demanding effective diagnostic
approaches. This systematic review surveys the recent literature (2018 onwards) to …
approaches. This systematic review surveys the recent literature (2018 onwards) to …
[HTML][HTML] Non-local diffusion-based biomarkers in patients with cocaine use disorder
Cocaine use disorder (CUD) is widely known to result in neurological reconfiguration which
can be observed via local diffusivity characteristics of the brain. These changes can be …
can be observed via local diffusivity characteristics of the brain. These changes can be …
Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery
Purpose: Frontotemporal lobe dementia (FTD) results from the degeneration of the frontal
and temporal lobes. It can manifest in several different ways, leading to the definition of …
and temporal lobes. It can manifest in several different ways, leading to the definition of …
Separable vs. End-to-End Learning: A critical examination of learning paradigms
JSH Baxter - Workshop on the Ethical and Philosophical Issues in …, 2022 - Springer
Abstract Machine learning is undoubtedly becoming more and more integrated into medical
image computing research and practice. As with any conceptual or technological tool, this …
image computing research and practice. As with any conceptual or technological tool, this …
Diffusion tensor imaging biomarkers for Parkinson's disease symptomatology
A Estudillo Romero, C Haegelen, P Jannin… - MICCAI Workshop on …, 2022 - Springer
Voxel-based analysis is an invaluable tool for biomarker discovery in population
neuroimaging. The traditional approach however is limited to local, linear biomarkers …
neuroimaging. The traditional approach however is limited to local, linear biomarkers …