Pierre-Henri CONZE

Pierre-Henri CONZE is an Enseignant-Chercheur (Lecturer-Researcher) at IMT Atlantique, part of the Data Science Department (DSD). His research focuses on medical image segmentation, deep learning applications in healthcare, and AI-driven solutions for clinical decision support. He holds a PhD in Signal and Image Processing from INSA de Rennes (2014) and an HDR (Accreditation to Supervise Research) from Université de Bretagne Occidentale (2024).

• Roles: Academic researcher, developer of AI tools for medical imaging.
• Affiliations: IMT Atlantique, LaTIM (Medical Information Processing Lab), collaboration with hospitals like CHRU Brest.

Research Interests: Medical image analysis, deep learning for tumor segmentation, longitudinal disease progression prediction, and AI in oncology. His work bridges computer vision techniques with clinical needs, addressing challenges like imperfect annotations, sparse datasets, and multi-modal fusion.

Publications: Recent articles focus on liver resection planning, cerebrovascular segmentation, and uncertainty quantification in lung cancer. His work emphasizes practical clinical impact, with applications in treatment response assessment and image quality enhancement.

Labs/Teams: Active in LaTIM and collaborates with institutions like the Centre Hospitalier Régional Universitaire de Brest (CHRU Brest). His research often involves interdisciplinary teams combining engineering, medicine, and data science.