Philippe Després is an Associate Professor in the Department of Physics, Engineering Physics and Optics and member of the Cancer Research Center of Université Laval, as well as a Medical Physicist at CHU de Québec and a regular researcher at its affiliated Research Center. He was trained at Université Laval (MSc 2000, Physics), Université de Montréal (PhD 2005, Physics) and University of California, San Francisco (postdoc 2005-2007, Biomedical Engineering, Molecular Imaging). He is involved in several projects encompassing hardware and software aspects of medical imaging modalities, notably low-dose X-ray imaging, advanced imaging techniques, and solid-state detectors for molecular imaging. He pioneered high-performance computing (HPC) approaches with commodity graphics hardware (GPUs) that led to innovative applications in image processing/reconstruction and radiation dose calculations, including a fast GPU-based Monte Carlo engine to simulate energy transport in matter (GPUMCD). As a HPC expert, he is also involved in data-driven research approaches, data infrastructures and FAIR-compliant research data management. In this regard, he is the Chief Data Officer at CHU de Québec – Université Laval Research Center, the Data Architect of the PULSAR health research platform, the Assistant Director of the Big Data Research Center at Université Laval, and the co-lead of the Sustainable Health axis of the Observatoire international sur les impacts sociétaux de l’IA et du numérique.
Québec, Québec
Canada G1V 4G5
- Abrougui, LynaMaster student
- Asselin, Pierre-LucMaster studentHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67038pierre-luc.asselin@crchudequebec.ulaval.ca
1401, 18e rue
G0.464
Québec, QC
Canada G1J 1Z4 - Bilodeau, ChristopherInternHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67037christopher.bilodeau@crchudequebec.ulaval.ca
1401, 18e rue
G0.463
Québec, QC
Canada G1J 1Z4 - Desbiens, RaphaëlMaster studentHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67037
1401, 18e rue
G0.463
Québec, QC
Canada G1J 1Z4 - Desrosiers, FélixDoctoral student
- Di Schiavi Trotta, LeonardoDoctoral studentHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67037leonardo.di-schiavi-trotta.1@ulaval.caleonardo.di-schiavi-trotta@crchudequebec.ulaval.ca
1401, 18e rue
G0.463
Québec, Québec
Canada G1J1Z4 - Drouin, DavidMaster studentCHUL+1 418-525-4444, extension 47969
2705, boulevard Laurier
R0-709
Québec, Québec
Canada G1V 4G2 - Giguère, RaphaëlleMaster student
- Jorandon, GuillaumeDoctoral studentL'Hôtel-Dieu de Québec+1 418-525-4444, extension 67037guillaume.jorandon@crchudequebec.ulaval.ca
9 rue McMahon
G0.463
Québec, QC
Canada G1R 3S3 - Jozi, Hanieh SadatDoctoral studentHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67037
1401, 18e rue
G0.463
Québec, QC
Canada G1J 1Z4 - Lefol, RonanDoctoral studentHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67037ronan.lefol@crchudequebec.ulaval.ca
1401, 18e rue
G0.463
Québec, Québec
Canada G1J 1Z4 - Lemarechal, YannickPostdoctoral fellowHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67037+1 418-691-5268yannick.lemarechal@crchudequebec.ulaval.cayannick.lemarechal@gmail.com
1401, 18e rue
G0.436
Québec, QC
Canada G1J 1Z4 - Mbodj, MamadouMaster student
- Ngontie Ngounou, Patrick JohanMaster student
- Seyed Ebrahimpour, LeylaPostdoctoral fellow
- Yamga, ÉricMaster student
- Ziasaeedi, NiloofarDoctoral studentHôpital de l'Enfant-Jésus+1 418-525-4444, extension 67037niloofar.ziasaeedi@crchudequebec.ulaval.ca
1401, 18e rue
G0.463
Québec, QC
Canada G1J 1Z4
Risk of Bias Mitigation for Vulnerable and Diverse Groups in Community-Based Primary Health Care Artificial Intelligence Models: Protocol for a Rapid Review
Journal ArticleJMIR Res Protoc, 12 , 2023.
Comparison of four-year toxicities and local control of ultra-hypofractionated vs moderate-hypofractionated image guided prostate radiation with HDR brachytherapy boost: A phase I-II single institution trial
Journal ArticleClin Transl Radiat Oncol, 40 , 2023.
X-Ray Computed Tomography to Measure Bed Density in Sand Transpor
Journal ArticleJournal of hydraulic engineering, 148 (12), 2022.
Impact of the dead-time correction method on quantitative 177Lu-SPECT (QSPECT) and dosimetry during radiopharmaceutical therapy
Journal ArticleEJNMMI Phys, 9 (1), 2022.
Beam-hardening corrections through a polychromatic projection model integrated to an iterative reconstruction algorithm
Journal ArticleNDT E Int, 126 , 2022.
Identification of Common Minerals Using Stoichiometric Calibration Method for Dual-Energy CT
Journal ArticleGeochem Geophys Geosyst, 22 , 2021.
Quantitative SPECT (QSPECT) at high count rates with contemporary SPECT/CT systems
Journal ArticleEJNMMI Phys, 8 (1), 2021.
On the use of machine learning methods for mPSD calibration in HDR brachytherapy
Journal ArticlePhys Med, 91 , 2021.
Personalized Risk Assessment for Prevention and Early Detection of Breast Cancer: Integration and Implementation (PERSPECTIVE I&I)
Journal ArticleJ Pers Med, 11 (6), 2021.
Exploring polypharmacy with artificial intelligence: data analysis protocol
Journal ArticleBMC Med Inform Decis Mak, 21 (1), 2021.
Active projects
- Aide à la décision pour le dépistage par tomodensitométrie basse dose en cancer du poumon: ancrer des outils basés sur l'IA dans des environnements numériques multi-juridisctionnels et favoriser leur adoption clinique, from 2021-04-01 to 2024-03-31
- ALPHAgenomics: Integrationg genomic and phenomic for the swine industry, from 2021-10-01 to 2024-09-30
- Des tests qui gênent : comment mieux protéger le droit à la vie privée à l'ère des tests génétiques en ligne, from 2023-07-01 to 2024-06-30
- Genovalia - Phase 1, from 2021-03-31 to 2024-03-31
- High-Performance Computing in Medical Physics, from 2018-04-01 to 2026-03-31
- Major Resource Support for the Particle Physics Group at Université de Montréal, from 2018-04-01 to 2024-03-31
- Meilleures Pratiques en Oncologie Pédiatrique : recherche appliquée auprès des Familles (MP OncoPed-Familles), from 2022-01-15 to 2028-03-31
- NSERC CREATE in Responsible Health and Healthcare Data Science, from 2019-09-01 to 2026-08-31
- Observatoire international sur les impacts sociétaux de l'intelligence artificielle et du numérique, from 2018-04-01 to 2024-03-31
- Personalized risk-stratified breast cancer follow-up care: a feasibility and acceptability study, from 2023-06-26 to 2026-06-30
- Prédire l'évolution de l'hépatite C par la fédération de données et l'intelligence artificielle : enjeux éthiques, juridiques, sociaux et de vie privée, from 2019-04-01 to 2024-03-31
- Protéger et Engager les populations vulnérables dans le développement des modèles prédictifs en soins de santé primaires pour IA inclusive, diversifiée et équiptable (PREMIA), from 2021-07-01 to 2024-06-30
- Télé-NEUROS (Nouvel Environnement Universitaire de Recherche Orchestrée en Santé mentale et cognitive: une télé initiative), from 2020-10-20 to 2026-03-31
- Towards Personalized Dosimetry-Based Radioligand Therapy of Prostate Cancer as a New Standard of Practice, from 2022-04-01 to 2027-03-31
Recently finished projects
- Banque de données en santé durable (BDSD) de PULSAR, from 2021-08-18 to 2022-09-30
- Design and implementation of new data governance model in the digital health era; PULSAR as a responsible innovation test bench, from 2020-09-01 to 2023-08-31
- Déterminer la qualité de la polypharmacie chez les aînés : une approche basée sur l’intelligence artificielle, from 2020-04-01 to 2023-03-31
- Linking clinical, research and imaging data in lung cancer: towards FAIR and AI-ready datasets, from 2022-03-15 to 2023-03-14
- Optimiser les soins des patients atteints du cancer de la prostate résistant à la castration en utilisant une stratégie de triple traceur en imagerie moléculaire et en radiothérapieléculaire et en radiothérapie ciblée, from 2018-04-01 to 2023-06-30
- Plateforme collaborative d’outils d’aide à la décision, from 2021-04-01 to 2022-12-20
- Une infrastructure IA multi-usagers clé en main pour gérer le cycle de vie complet des données en santé, from 2021-04-01 to 2023-09-01
- Utilisation de l'intelligence artificielle (IA) afin de prédire les résultats de biopsies faites pour les mammographies anormales avec comme but ultime de réduire le nombre de biopsies , from 2019-12-09 to 2021-12-08
- Vers une infrastructure numérique robuste et des outils innovants en recherche axée sur les données en santé, from 2020-07-01 to 2023-06-30