A. Rahmim
University of British ColumbiaPoster Author Of 5 e-Posters
72 - Objective evaluation of voxelwise partial volume correction methods in brain PET imaging (ID 1188)
Session Name
Brain (Data Analysis & Management)
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Analysis & Management
Presentation Number
72
524 - Optimal Feature Selection and Machine Learning for Prediction of Outcome in Parkinson’s Disease (ID 1303)
Session Name
Artificial Intelligence for Image Enhancement/Analysis and Disease Assessment
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Sciences
Presentation Number
524
1399 - Deriving resolution-compensated PET images from the GTM partial volume correction method (ID 1222)
Session Name
Data Analysis & Management (Poster Session)
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Analysis & Management
Presentation Number
1399
1429 - Hybrid Machine Learning Methods for Robust Identification of Parkinson’s Disease Subtypes (ID 1326)
Session Name
Data Sciences (Poster Session)
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Data Sciences
Presentation Number
1429
1502 - Performance simulation of high resolution and high sensitivity Prism-PET brain scanner (ID 1152)
Session Name
Instrumentation (Poster Session)
Speakers
Authors
Presentation Topic
Physics, Instrumentation & Data Sciences -> Instrumentation
Presentation Number
1502