Browsing Waterloo Research by Author "Smith, Eric E."
Now showing items 1-2 of 2
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The use of random forests to classify amyloid brain PET
Zukotynski, Katherine; Gaudet, Vincent C.; Kuo, Phillip H.; Adamo, Sabrina; Goubran, Maged; Scott, Christopher; Bocti, Christian; Borrie, Michael; Chertkow, Howard; Frayne, Richard; Hsiung, Robin; Laforce, Robert; Noseworthy, Michael D.; Prato, Frank S.; Sahlas, Demetrios J.; Smith, Eric E.; Sossi, Vesna; Thiel, Alexander; Soucy, Jean-Paul; Tardif, Jean-Claude; Black, Sandra E. (Wolters Kluwer Health, 2019-10)Purpose: To evaluate random forests (RFs) as a supervised machine learning algorithm to classify amyloid brain PET as positive or negative for amyloid deposition and identify key regions of interest for stratification. Methods: ... -
The Use of Random Forests to Identify Brain Regions on Amyloid and FDG PET Associated With MoCA Score
Zukotynski, Katherine; Gaudet, Vincent C.; Kuo, Phillip H.; Adamo, Sabrina; Goubran, Maged; Scott, Christopher J.M.; Bocti, Christian; Borrie, Michael; Chertkow, Howard; Frayne, Richard; Hsiung, Robin; Laforce, Robert Jr; Noseworthy, Michael D.; Prato, Frank S.; Sahlas, Demetrios J.; Smith, Eric E.; Sossi, Vesna; Thiel, Alexander; Soucy, Jean-Paul; Tardif, Jean-Claude; Black, Sandra E. (Wolters Kluwer Health, 2020-06)Purpose: The aim of this study was to evaluate random forests (RFs) to identify ROIs on 18F-florbetapir and 18F-FDG PET associated with Montreal Cognitive Assessment (MoCA) score. Materials and Methods: Fifty-seven subjects ...