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2020 – today
- 2024
[j1]Robert V. Bergen
, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng:
Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN. Comput. Methods Programs Biomed. 243: 107910 (2024)- 2023
- [c8]Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. Bergen, Jean-François Rajotte, Raymond T. Ng, Ingrid Bloise, Sara Harsini, Dan J. Kadrmas, Carlos F. Uribe, Arman Rahmim:
Observer study-based evaluation of TGAN architecture used to generate oncological PET images. Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [c7]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng:
3D PET image generation with tumour masks using TGAN. Image Processing 2022 - [c6]Ali Seyfi, Jean-François Rajotte, Raymond T. Ng:
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN). NeurIPS 2022 - [i5]Ali Seyfi, Jean-François Rajotte, Raymond T. Ng:
Group GAN. CoRR abs/2205.13741 (2022) - [i4]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng:
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN. CoRR abs/2206.06448 (2022) - 2021
- [c5]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. GoodIT 2021: 79-84 - [i3]Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan Lavista Ferres, Raymond T. Ng:
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary. CoRR abs/2101.07235 (2021) - [i2]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng:
3-D PET Image Generation with tumour masks using TGAN. CoRR abs/2111.01866 (2021) - 2020
- [c4]Jean-François Rajotte, Raymond T. Ng:
Private data sharing between decentralized users through the privGAN architecture. EDOC Workshops 2020: 37-42 - [i1]Jean-François Rajotte, Raymond T. Ng:
Private data sharing between decentralized users through the privGAN architecture. CoRR abs/2009.06764 (2020)
2010 – 2019
- 2019
- [c3]Luis Da Costa, Jean-François Rajotte:
Crowd Prediction Under Uncertainty. Canadian AI 2019: 308-319 - [c2]Tom Landry, Martin Sotir, Jean-François Rajotte, David Byrns, Francis Charette Migneault, Mario Beaulieu, Pierre-Luc St-Charles, Samuel Foucher, Claude Chapdelaine, Ayoub Tlili, Cedric Noiseux:
Applying Machine Learning to Earth Observations In A Standards Based Workflow. IGARSS 2019: 5567-5570 - 2018
- [c1]Jean-François Rajotte, Martin Sotir, Cedric Noiseux, Louis-Philippe Noel, Thomas Bertiere:
Object Counting on Low Quality Images: A Case Study of Near Real-Time Traffic Monitoring. ICMLA 2018: 1200-1204
Coauthor Index
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