Jean-François Rajotte
Biography
Jean-François Rajotte has been a professor in the Department of Computer Science at UQAM since the summer of 2023. From 2019 to 2023, he served as resident data scientist at the Data Science Institute of the University of British Columbia. Prior to that, from 2016 to 2019, he worked as a data science researcher at the Computer Research Institute of Montreal. He earned his PhD in Physics in 2010 from the Ludwig Maximilian University of Munich, Germany, and subsequently conducted research at the Massachusetts Institute of Technology and McGill University before transitioning to data science. His research interests include the application of data science to various fields, particularly healthcare, with a focus on the generation and evaluation of synthetic data.
Subjects of interests
- Synthetic data
- Privacy
- Artificial intelligence
- Data science
"Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN"Computer Methods and Programs in Biomedicine2431079102024
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. BergenJean-François Rajotte and
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"Medical Imaging 2023: Image Perception, Observer Performance, and Technology Assessment12467SPIE2023
"3-D PET Image Generation with tumour masks using TGAN"Journal of Nuclear Medicine6332432022
"Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)"Advances in Neural Information Processing Systems 35 (NeurIPS 2022) 2022
Jean-François Rajotte and
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 '21: Proceedings of the Conference on Information Technology for Social Good79-842021
