News
Members
Publications
Software / Data
Job offers
Images / Videos
Collaborations
Conferences
Lab meetings: "Les partages de midi"
Practical information
Members Area
Next conferences we are in …
Email : pierre.jannin@univ-rennes1.fr
Address 1 : MediCIS - UMR LTSI U1099 INSERM Rennes
Faculté de Médecine
Université de Rennes 1
CS34317
35043 Rennes cedex - France
Assistante : Noémie Buisard tel : +33 2 23 23 69 30
Pierre Jannin is an INSERM Research Director. From 2012, he has been heading the Inserm Research group MediCIS (Modeling Surgical Knowledge and Processes). He was awarded the PhD degree from the University of Rennes in 1988 on multimodal 3D imaging in neurosurgery. He was awarded the Habilitation in 2005 on Information guided Surgery. He is the Past President of the International Society of Computer Aided Surgery (ISCAS), was the President of ISCAS from 2014 to 2018 and the General Secretary from 2004 to 2014. He was board member of the MICCAI society from 2014 to 2018. He is senior member of the SPIE society. He is Editor in Chief of the journal Computer Aided Surgery by Taylor & Francis. He is Deputy Editor for the International Journal of Computer Assisted Radiology and Surgery (IJCARS). He is member of several Organizing and Program Committees of international conferences, such as congress organizing committee of CARS, program committee of SPIE Medical Imaging, organizing committee of MMVR, and program committee of MICCAI. He was President and organizer of CARS 2019 conference in Rennes (France) and Program Co-Chair of MICCAI 2017 in Quebec (Canada). He is the co-founder of IPCAI conferences and was Co-General Chair from 2010 to 2016. He is a permanent invited member of the Working Group “AI and Medicine” from both French Academy of Medicine and French Academy of Sciences. He is member of the scientific committee (CSV) of the regional "Images et Réseaux" Pole de Compétitivité.
He has more than 30 year experience in designing and developing computer assisted surgery systems. His research topics include surgical data science, surgical robotics, image-guided surgery, augmented and virtual reality, modeling of surgical procedures and processes, study of surgical expertize, surgical training and validation methodology in medical image processing.