Author

Alan R. Moody

University of TorontoORCID 0000-0002-5221-4305Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Organism:human· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Sandra E. BlackiD· 3 shared Anthony Edward LangiD· 2 shared Christopher J.M. ScottiD· 2 shared Dar D DowlatshahiiD· 2 shared Donna T. KwaniD· 2 shared Emmanuel E. Ntiri· 2 shared Fuqiang GaoiD· 2 shared Jane M. Lawrence‐DewariD· 2 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Sandra E. BlackORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

White Matter Lesion Asymmetry and Carotid Intraplaque Hemorrhage: A Novel Imaging Phenotype for Stroke Risk in Older Men

Nicholas Simard, Faraz Honarvar, Joshua Noronha, Adam Gibicar, Pascal N. Tyrrell, Alan R. Moody, Maria Natasha Rajah, Sandra E. Black, Pejman Jabehdar Maralani, April Khademi

This study identifies carotid intraplaque hemorrhage as an independent predictor of asymmetric white matter lesion pathology in older men, highlighting a novel imaging marker for stroke risk.

bioRxiv · Jan 30, 2026 · PreprintNeuroscience

Deep Bayesian networks for uncertainty estimation and adversarial resistance of white matter hyperintensity segmentation

Parisa Mojiri Forooshani, Mahdi Biparva, Emmanuel E. Ntiri, Joel Ramirez, Lyndon Boone, Melissa F. Holmes, Sabrina M. Adamo, Fuqiang Gao, Miracle Ozzoude, Christopher J.M. Scott, Dar D Dowlatshahi, Jane M. Lawrence‐Dewar, Donna T. Kwan, Anthony Edward Lang, Karine Marcotte, , Maged Goubran

This paper introduces a Bayesian 3D U-Net for WMH segmentation that provides uncertainty estimates and is robust to imaging variations, achieving high accuracy and efficiency.

Human Brain Mapping · Jan 28, 2022Peer-reviewedNeuroscience

Improved segmentation of the intracranial and ventricular volumes in populations with cerebrovascular lesions and atrophy using 3D CNNs

Emmanuel E. Ntiri, Melissa F. Holmes, Parisa Mojiri Forooshani, Joel Ramirez, Fuqiang Gao, Miracle Ozzoude, Sabrina M. Adamo, Christopher J.M. Scott, Dar D Dowlatshahi, Jane M. Lawrence‐Dewar, Donna T. Kwan, Anthony Edward Lang, Sean P. Symons, Robert Bartha, Stephen C. Strother, , Maged Goubran

The paper introduces CNN-based models for segmenting intracranial and ventricular volumes in neuroimaging data, showing improved accuracy and efficiency compared to existing methods.

Neuroinformatics · Feb 1, 2021Peer-reviewedNeuroscience