Team
Alexandre Bousse | Principal Investigator & Work Package Leader
Alexandre Bousse is a Research Associate with the French National Institute of Health and Medical Research (Inserm) and member of the LaTIM. He received a PhD in Signal and Image Processing in 2008, and the research habilitation (HDR) in 2019. He has been involved in 5 image reconstruction projects with University College London, including 2 EPSRC grants, a FP7 grant, a GE Healthcare grant, and he co-supervised 7 PhD students. He co-authored over 20 publications in scientific journals, including IEEE Transactions on Medical Imaging and Physics in Medicine & Biology. His main contribution comprises model-based image reconstruction (MBIR) algorithms for PET/CT and PET/MRI imaging with motion compensation. With an applied mathematics background, he is at the interface between theoretical and transitional research.
Bruno Sixou | Work Package Leader
Bruno Sixou is an Assistant Professor at INSA Lyon and CREATIS. After physics studies in ENS Lyon, he received a PhD in Physics in 1996 and the HDR in 2005. His current research interests are applied mathematics, signal processing, inverse problems, machine learning and deep-learning approaches. His work on inverse problems focuses on tomography, phase retrieval and spectral CT. He co-supervised 5 PHD and has 1 on-going PhD. He co-authored of more than 50 papers in material science, applied mathematics and inverse problems.
Claude Comtat | Work Package Leader
Claude Comtat is a Senior Scientist and Medical Physicist at Biomaps and Service Hospitalier Frédéric Joliot (SHFJ). After physics studies at the EPFL, Lausanne, he received a PhD in Physics in 1996 and the HDR in 2013. His current research interests are multimodal imaging, in particular PET/MR, image reconstruction, and PET simulation. He has been involved in two European (EUREKA and MSC ITN) and five national projects in image reconstruction. He is the author of more than 50 papers, most of them in PET imaging. He is involved since the beginning in the development of CASToR and was involved in the OpenGATE collaboration during its early phase.
Voichita Maxim | Work Package Leader
Voichita Maxim is a Senior Assistant Professor at INSA Lyon and CREATIS. She co-authored about twenty publications in international renowned journals. She co-supervised 4 defended PhDs and has 2 on-going PhDs. Currently, her research interests include image reconstruction, inverse problems, Monte-Carlo data simulation, modeling of the data acquisition process and machine- learning approaches.
Florent Sureau | Research Engineer
Florent Sureau is a Senior Scientist at Biomaps and SHFJ. His current research interests include applied mathematics, inverse problem for applications, in particular sparsity, dictionary learning and PET image reconstruction. He has contributed to two ERCs, a FET-OPEN and a COMPET project centered on developing sparse methods (including dictionary learning) for various applications.
Catherine Cheze-Le Rest | Clinician
Catherine Cheze-Le Rest is a Consultant Professor of nuclear medicine at the CHU Poitiers. Since the last twenty years she has been developing multiple research activities within the field of quanti- tative PET/CT imaging and more specifically in the field of functional volume segmentation for PET imaging. She has published pioneering work in the field of multimodality medical image based radiomics for the prediction of response and survival in lung, esophageal and H&N cancers. In addition, she has worked in demonstrating the interest of radiogenomics and the quantitative assessment of intratumor activity distribution heterogeneity in clinical practice.
Marion Savanier | Postdoc
Marion Savanier is a post-doctorate researcher at Biomaps and SHFJ, where she is working on multimodal machine learning for PET/CT and PET/MRI image reconstruction under the supervision of Florent Sureau and Claude Comtat. In November 2022, she completed a PhD in image processing at CentraleSupélec, Université Paris-Saclay, under the supervision of Emilie Chouzenoux and in collaboration with GE Healthcare. Her PhD work focused on developing iterative fixed point methods for image reconstruction in Cone Beam CT.
