Faculty profile
Eugene Belilovsky
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Latest papers
Large language models deconstruct the clinical intuition behind diagnosing autism.
Cell · 2025
Simulating federated learning for steatosis detection using ultrasound images.
Scientific reports · 2024
Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.
Radiology · 2023
Latest funding
- $106,667
Privacy-Preserving Federated Fine-Tuning of Large Language Models for Smart Vehicles and Edge AI Applications
NSERC · 2025 · Principal investigator
- $125,000
PsyTrip: an immersive psychedelic experience simulator using neurofeedback and generative AI for mental health care
SSHRC · 2024 · Co-investigator
- $135,000
Towards Improved Understanding and Efficient Utilization of Depthwise Computation in Modern Neural Networks
NSERC · 2022 · Co-investigator
3 publications.
Large language models deconstruct the clinical intuition behind diagnosing autism.
Stanley J, Rabot E, Reddy S, Belilovsky E, Mottron L, Bzdok D
Simulating federated learning for steatosis detection using ultrasound images.
Qi Y, Vianna P, Cadrin-Chênevert A, Blanchet K, Montagnon E, Belilovsky E, Wolf G, Mullie LA, Cloutier G, Chassé M, Tang A
Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.
Vianna P, Calce SI, Boustros P, Larocque-Rigney C, Patry-Beaudoin L, Luo YH, Aslan E, Marinos J, Alamri TM, Vu KN, Murphy-Lavallée J, Billiard JS, Montagnon E, Li H, Kadoury S, Nguyen BN, Gauthier S, Therien B, Rish I, Belilovsky E, Wolf G, Chassé M, Cloutier G, Tang A
Privacy-Preserving Federated Fine-Tuning of Large Language Models for Smart Vehicles and Edge AI Applications
Principal investigators: Belilovsky, Eugene
Keywords: Transport equipment
PsyTrip: an immersive psychedelic experience simulator using neurofeedback and generative AI for mental health care
Principal investigators: Xiao, Yiming
Towards Improved Understanding and Efficient Utilization of Depthwise Computation in Modern Neural Networks
Principal investigators: Wolf, Guy G
Keywords: computer vision; deep learning; graph neural networks; representation learning; self attention
Broader Self-Supervised Learning with applications in anomaly detection, tabular data, and visual reinforcement learning
Principal investigators: Armanfard, Narges N
Keywords: anomaly detection; deep learning; reinforcement learning; self supervised learning; tabular data analysis; visual reasoning
Towards Continual and Compositional Learning in the Visual World
Principal investigators: Belilovsky, Eugene
Towards Continual and Compositional Learning in the Visual World
Principal investigators: Belilovsky, Eugene
Keywords: continual learning; lifelong learning; scene understanding
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
- An Tang and Eugene Belilovsky: 1 shared paper
- Danilo Bzdok and Eugene Belilovsky: 1 shared paper
- Department of Computer Science and Software Engineering
- Diagnostic Radiology
- Other
Co-authors at Concordia University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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