Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning
Objectives It is important to subdivide Parkinson's disease (PD) into subtypes, enabling
potentially earlier disease recognition and tailored treatment strategies. We aimed to identify …
potentially earlier disease recognition and tailored treatment strategies. We aimed to identify …
Application of novel hybrid machine learning systems and radiomics features for non-motor outcome prediction in Parkinson's disease
MR Salmanpour, M Bakhtiyari… - Physics in Medicine …, 2023 - iopscience.iop.org
Objectives. Parkinson's disease (PD) is a complex neurodegenerative disorder, affecting 2%–
3% of the elderly population. Montreal Cognitive Assessment (MoCA), a rapid nonmotor …
3% of the elderly population. Montreal Cognitive Assessment (MoCA), a rapid nonmotor …
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features
MR Salmanpour, M Hosseinzadeh… - … Journal of Imaging …, 2023 - Wiley Online Library
Parkinson's disease (PD) is progressive and heterogeneous. Levodopa is widely prescribed
to control PD, and its long‐term‐treatment leads to dyskinesia in a dose‐dependent manner …
to control PD, and its long‐term‐treatment leads to dyskinesia in a dose‐dependent manner …
SPECT Radiomics: The Current Landscape, Challenges, and Opportunities
Radiomics is an exciting new methodology involving quantitative analysis of medical
images. While most radiomics studies have focused on CT, MR, and more recently PET as …
images. While most radiomics studies have focused on CT, MR, and more recently PET as …
[PDF][PDF] Artificiële intelligentie met medische beeldvorming voor de diagnose van primaire hersentumoren Artificial Intelligence in Medical Imaging for the Diagnosis of …
S Bonte - ugent.be
The goal of this PhD dissertation is to develop a computer-aided diagnosis system for
primary brain tumours based on medical imaging using techniques from artificial …
primary brain tumours based on medical imaging using techniques from artificial …