This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of Toronto directory, so their courses and email address may be missing. Find their university profile.
Latest papers
Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning.
JMIR medical informatics · 2019
Latest funding
- $443,604
Using artificial intelligence to identify and predict delirium among hospitalized medical patients
NSERC · 2019 · Co-investigator
- $426,104
Using artificial intelligence to identify and predict delirium among hospitalized medical patients
CIHR · 2018 · Principal investigator
- $149,362
Self-Driving Car Perception Platform
NSERC · 2017 · Co-investigator
1 publications.
Identifying Clinical Terms in Medical Text Using Ontology-Guided Machine Learning.
Arbabi A, Adams DR, Fidler S, Brudno M
Using artificial intelligence to identify and predict delirium among hospitalized medical patients
Principal investigators: Razak, Fahad
Using artificial intelligence to identify and predict delirium among hospitalized medical patients
Principal investigators: Razak, Fahad; Greenberg, Anna; Chan, Timothy; Chignell, Mark H; Fidler, Sanja; Ghassemi, Marzyeh; Sheehan, Kathleen; Siddiqi, Arjumand; Verma, Amol
Keywords: Artificial Intelligence; Delirium; Quality Improvement
Self-Driving Car Perception Platform
Principal investigators: Barfoot, Timothy
Error Resilient Machine Learning Systems
Principal investigators: Aamodt, Tor
Video Understanding and Retrieval with Complex Natural Language Queries
Principal investigators: Fidler, Sanja
NSERC COHESA: Computing Hardware for Emerging Intelligent Sensory Applications
Principal investigators: Moshovos, Andreas
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.