Daniel Racoceanu
Paris Brain Institute, Aramis lab · Sorbonne University
Research Interests
Computational Pathology Biomedical image analysis Pattern Recognition Machine Learning Deep Learning
Biography
Professor in Biomedical Image and Data Computing at Sorbonne University, Paris, and PI at ARAMIS INRIA team / Paris Brain Institute (ICM / Piti-Salpêtrière Hospital), my areas of interest are Medical Image Analysis and Pattern Recognition, my research focusing mainly on Computational Pathology and its Integrative aspects.
Education
2006 - HDR (Habilitation à Diriger des Recherches), Control and Computer Sciences - University of Franche-Comté, Besançon, France 1997 - Ph.D. - Control and Computer Sciences - University of Franche-Comté, Besançon, France 1993 - M.Sc. (Master of Science) - Control Sciences - University of Technology of Belfort-Montbéliard, France 1992 - Dipl. Ing. (M.Eng. - Master of Engineering) - Mechatronics & Mechanics - Politehnica University of Timisoara, Romania
Recent Scopus Publications
- City of Light (COL): A City-Scale, Geo-Anchored Urban Simulator with High-Throughput Multi-Sensor Streams
- From synthetic navigation data to real-world mobility cues: Reinforcement learning for sensory substitution in visual impairment
- Prediction of biochemical prostate cancer recurrence from any Gleason score using robust tissue structure and clinically available information
- ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization
- Unravelling the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression
Links
- ORCID https://orcid.org/0000-0002-9416-1803
- Google Scholar https://scholar.google.com/citations?user=2eBRLj0AAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=6603452376
- Personal Weblink http://daniraco.free.fr/short_bio.htm