Jean-François Rajotte

According to our database, Jean-François Rajotte authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN.

Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng

Comput. Methods Programs Biomed., January, 2024

2023

Observer study-based evaluation of TGAN architecture used to generate oncological PET images.

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

Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022

Group GAN.

Ali Seyfi, Jean-François Rajotte, Raymond T. Ng

CoRR, 2022

Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN).

Ali Seyfi, Jean-François Rajotte, Raymond T. Ng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

3D PET image generation with tumour masks using TGAN.

Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng

Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021

3-D PET Image Generation with tumour masks using TGAN.

Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng

CoRR, 2021

Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.

Jean-François Rajotte, Sumit Mukherjee, Caleb Robinson, Anthony Ortiz, Christopher West, Juan M. Lavista Ferres, Raymond T. Ng

Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021

2020

Private data sharing between decentralized users through the privGAN architecture.

Jean-François Rajotte, Raymond T. Ng

Proceedings of the 24th IEEE International Enterprise Distributed Object Computing Workshop, 2020

2019

Applying Machine Learning to Earth Observations In A Standards Based Workflow.

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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Crowd Prediction Under Uncertainty.

Luis Da Costa, Jean-François Rajotte

Proceedings of the Advances in Artificial Intelligence, 2019

2018

Object Counting on Low Quality Images: A Case Study of Near Real-Time Traffic Monitoring.

Jean-François Rajotte, Martin Sotir, Cedric Noiseux, Louis-Philippe Noel, Thomas Bertiere

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018