Francoise Peyrin QMSKI Conference 2024

Francoise Peyrin

Dr. Françoise Peyrin received her PhD in Computer Sciences and her “Docteur ès Sciences” degree from INSA-Lyon and Université Lyon I, respectively in 1982, and 1990. She has been Assistant Professor at INSA-Lyon from 1981 to 1987, and since then a Researcher at INSERM (National Institute for Health and Medical Research). Since 1995, she has been a scientific collaborator at the ESRF (European Synchrotron Radiation Facility), Grenoble, France. She is now Director of Research Emerite at INSERM in Lyon, France. She is working in the CREATIS Laboratory (INSERM U1294, CNRS 5220, INSA-Lyon, Université Lyon I, University of Lyon) specialized in medical imaging and gathering about 180 staff. She belongs to the team «Tomographic imaging and Radiotherapy » that she has been leading until 2021. Her research interest is in 3D biomedical imaging particularly in X-ray tomography, tomographic image reconstruction, image analysis and wavelet methods. Her current interest is in the application of deep learning methods to CT image reconstruction and super resolution. She has particularly been developing CT imaging methods for the characterization of bone tissue at the micro and nano scale, as well as at the patient scale. She is the author of more than, 200 peer-reviewed papers, 20 books chapters, 400 conferences (> 200 as 4-pages IEEE style proceedings) and 100 invited talks. She has been leading the LabEx PRIMES (Physique Radiobiology Medical Imaging and Simulation) from the UdL (Université de Lyon) (2012-2021) and has been the director of the French GdR Stic Santé (2011-2014). Since 2002, she has been involved in the IEEE BISP (Bio Imaging and Signal processing) and since and BIIP (Bio Imaging and Image processing) committees and has been chair of the EURASIP (European Association for Signal Processing) SAT BISA (Biomedical Image & Signal Analytics). She is an EAMBES (European Alliance of Medical and Biological Engineering and Science) Fellow.

Abstracts this author is presenting: