To all MICCAI Society Members and Colleagues
Tuesday 16th June 2020
It is with great sadness that we announce the passing of Christian Barillot, a distinguished and highly respected researcher and active member of the MICCAI Society. Prof. Barillot was a MICCAI Fellow, General Chair of the MICCAI 2004, conference, and Program Co-Chair of MICCAI 2013 and 2014. Above all, by many of us, he will be remembered as a very pleasant, energetic, and positively spirited colleague and friend.
On behalf of the MICCAI Society and its members, we extend our sincere condolences to his family and friends.
Short Biography
Prof. Barillot was born in in France in 1959. He obtained his Ph.D. thesis from the University of Rennes I on “Information Processing” in 1984 and his “Habilitation” thesis in Computer Science in 1999. He was was appointed as a tenured Researcher in 1986 from the CNRS (National Center of Scientific Research of France). In 1987, 1988 and again partially in 1991, he was research fellow at Mayo Clinic, Rochester, and worked with Prof. R.A. Robb.
Between 1988 and 1996 he worked at the SIM Laboratory and the INSERM U335 unit at the University of Rennes I. In 2003, he was a visiting professor at the Robarts Research Institute, Western University, London, Canada collaborating with Professors T. Peters and A. Fenster. He joined IRISA in 1996, collaborating first with the VISTA Team.
Since 2004, he was the the scientific leader of the VisAGeS U1228 research Unit, and the director of the Neurinfo imaging platform since 2010. He was a member of the scientific committee (CSI) of the CNRS Institute for Information Sciences and Technologies (INS2I), and the chairman of its scientific committee between 2015 and 2018.
His contributions to the field of Medical Image processing are numerous, and include the processing of multidimensional medical images, particularly the integration and fusion of medical images as applied to the analysis of brain pathologies. He was Associate Editor of IEEE Trans. Med. Medical Imaging and of Medical Image Analysis.