Munich, Bavaria, Germany
I am a senior scientist working mainly in the medical imaging field. My two main specialties are machine learning, in particular deep learning, and image processing in general (segmentation, registration, filtering, etc). More details are available on my personal website : http://raphaelprevost.com You can also follow me on Twitter: https://twitter.com/raphael_prevost
• Definition and execution of the company strategy regarding machine learning and artificial intelligence • Management of research scientists and software engineers • Lead the architecture and infrastructure for machine learning models training and inference • Product ownership of our advanced annotation software (ImFusion Labels)
ImFusion offers consulting, research and development in advanced medical image computing technologies and computer vision on today's parallel multi-core and GPU architectures. • Creation and implementation of advanced mathematical, computer vision and medical imaging algorithms in C++ • Lead and work on numerous projects for industrial customers (e.g. automatic image segmentation, mesh and point cloud analysis and registration, image quality improvement, etc.) • Student supervision • Technology intelligence and academic research reviewing • Patent writing
Three-year contract (during the preparation of a doctoral degree) as a researcher in medical image processing within the R&D lab of Philips Research • Creation and implementation of advanced medical imaging algorithms in Matlab and C++ • Domains of expertise: - 2D, 3D and 3D+t image segmentation and registration - Shape analysis - Machine learning • Redaction of several scientific articles accepted in major international conferences • Invention of several European patents • Supervision of a MSc. student
Research internship in medical image processing under the supervision of Dr. Vincent Bismuth Subject: Stent detection and enhancing in interventional cardiology X-Ray sequences • Creation and implementation of algorithms in Matlab and C • Pattern recognition, template matching • Object tracking in video sequences • Image fusion for enhanced visualization
Research internship in statistics/optimization under the supervision of Prof. Daniel Alexander Subject: Optimization of the dynamic contrast-enhanced computed tomography protocol • Implementation of algorithms in Matlab • Statistical analysis on pharmacokinetics models • Global optimization (genetic and evolutionary algorithms) • Redaction of a scientific article accepted in an international conference