Sheet of PRESLES Benoit

Address : | Institut de Chimie Moléculaire de l'Université de Bourgogne - ICMUB, UMR CNRS 6302 UFR Sciences de Santé 7 Boulevard Jeanne d'Arc, 21000 Dijon |
Tel: | +33 3 86 49 28 55 |
Email: | benoit.presles@ube.fr |
Team: | IFTIM |
Function: | Maître de conférences |
Tags: | medical imaging, image processing, image registration, image segmentation, artificial intelligence, machine learning, deep learning |
ORCID: | 0009-0009-0553-7417 |
- Career
- Projects
- Publications
- Communications
- Teaching
2025: Habilitation to supervise research in Computer Science, Université Bourgogne Europe, Doctoral School of Physical Sciences for Engineering and Microengineering, Dijon, France
Title: Towards improved quantitative analysis of medical images – A translational approach
Jury: Lecturer HDR Oscar Acosta (Université de Rennes – reviewer), Professor Nicolas Passat (Université de Reims Champagne-Ardenne – reviewer), Professor Caroline Petitjean (Université de Rouen Normandie – reviewer), Director of Research at the Centre National de la Recherche Scientifique (French National Centre for Scientific Research) Carole Lartizien (Université de Lyon – examiner), Professor-Medical Doctor Jean-Louis Alberini (Université Bourgogne Europe – Centre Georges François Leclerc – examiner), Lecturer Stéphanie Bricq (Université Bourgogne Europe – examiner), Professor Fabrice Meriaudeau (Université Bourgogne Europe – examiner), Medical physicist Jean-Marc Vrigneaud (Centre Georges François Leclerc – examiner)
2011: PhD in Image, Vision, Signal, École des Mines de Saint-Étienne, Saint-Étienne, France
Jury : Professor Christian Germain (Université de Bordeaux – reviewer), Professor Ernest Hirsch (Université de Strasbourg – reviewer), Lecturer Yvan Maillot (Université de Haute-Alsace – examiner), Director of Research Françoise Prêteux (MINES ParisTech – examiner), Professor Jean-Charles Pinoli (École des Mines de Saint-Étienne – director), Professor Gilles Févotte (Université Lyon 1 – co-director), Lecturer Ana Cameirao (École des Mines de Saint-Étienne – examiner), Research fellow Johan Debayle (École des Mines de Saint-Étienne – examiner)
2008: Master 2 in Image, Vision and Signal, École des Mines de Saint-Étienne, Saint-Étienne, France
2004: Engineering degree from École des Mines d’Alès, École des Mines d’Alès, Alès, France
Projects
- Development of new segmentation methods in anatomical imaging
- Improving quantification in nuclear imaging
Grants
2024: Université de Bourgogne grant, Partner
2024: Funding Région Bourgogne-Franche-Comté Itinéraire Chercheurs Entrepreneurs (ICE), Partner
2022: Obtaining access to the computing and storage resources of the Institut du Développement et des Ressources en Informatique Scientifique (IDRIS), Project leader
2021: Funding Agence Nationale de la Recherche (ANR) Jeunes Chercheuses – Jeunes Chercheurs (JCJC), Project leader
2020: Université de Bourgogne grant, Partner
2019: Industrial funding GE Healthcare, Partner
2019: Université de Bourgogne grant, Partner
2018: Funding Région Bourgogne-Franche-Comté Accompagnement Nouvelle Équipe de Recherche (ANER), Project leader
2016: Université de Bourgogne grant, Partne
Selected publications
- Nerea Payan, Benoit Presles, Charles Coutant, Isabelle Desmoulins, Sylvain Ladoire, Françoise Beltjens, François Brunotte, Jean-Marc Vrigneaud, and Alexandre Cochet. Respective contribution of baseline clinical data, tumour metabolism and tumour blood-flow in predicting pCR after neoadjuvant chemotherapy in HER2 and Triple Negative breast cancer. European Journal of Nuclear Medicine and Molecular Imaging Research, volume 14, pages 1–14, 2024, (quartile du journal : Q1)
- Felix Quinton, Benoit Presles, Sarah Leclerc, Guillaume Nodari, Olivier Lopez, Olivier Chevallier, Julie Pellegrinelli, Jean-Marc Vrigneaud, Romain Popoff, Fabrice Meriaudeau, and Jean-Louis Alberini. Navigating the nuances : comparative analysis and hyperparameter optimisation of neural architectures on contrast-enhanced MRI for liver and liver tumour segmentation. Scientific reports, volume 14, page 3522, 2024, (quartile du journal : Q1)
- Antoine Merlet, Benoît Presles, Kuan-Hao Su, Julien Salvadori, Farzam Sayah, Hanieh Jozi, Alexandre Cochet, and Jean-Marc Vrigneaud. Validation of a discovery MI 4-ring model according to the NEMA NU 2-2018 standards : from Monte Carlo simulations to clinical-like reconstructions. European Journal of Nuclear Medicine and Molecular Imaging Physics, volume 11, 2024, (quartile du journal : Q1)
- Tien-Phong Pham, Benoit Presles, Romain Popoff, Jean-Louis Alberini, and Jean-Marc Vrigneaud. Pre-treatment dosimetry in 90Y-SIRT : Is it possible to optimise SPECT reconstruction parameters and calculation methods for accurate dosimetry ? Physica Medica : European Journal of Medical Physics, volume 115, page 103145, 2023, (quartile du journal : Q1)
- Diana M. Marin-Castrillon, Alain Lalande, Sarah Leclerc, Khalid Ambarki, Marie-Catherine Morgant, Alexandre Cochet, Siyu Lin, Olivier Bouchot, Arnaud Boucher, and Benoit Presles. 4D segmentation of the thoracic aorta from 4D flow MRI using deep learning. Magnetic Resonance Imaging, volume 99, pages 20–25, 2023, (quartile du journal : Q2)
- Adam Fragkiadakis, Felix Quinton, Romain Popoff, Guillaume Nodari, Olivier Lopez, Julie Pellegrinelli, Juan Andres Cisneros Jacome, Olivier Chevallier, Jean-Marc Vrigneaud, Jean-Louis Alberini, Fabrice Meriaudeau, Sarah Leclerc, and Benoit Presles. CT-MRI liver registration for selective internal radiation therapy. In SPIE Medical Imaging 2024 : Image Processing, volume 12926, page 129261P, 2024.
- Diana M. Marin-Castrillon, Vasileios Melissianos, Arnaud Boucher, Sarah Leclerc, Siyu Lin, Marie-Catherine Morgant, Chloé Bernard, Alain Lalande, Olivier Bouchot, and Benoît Presles. 4D SEGMENTATION OF THE AORTA FROM 4D FLOW MRI USING A 4D CONVOLUTIONAL NEURAL NETWORK. In 20th IEEE International Symposium on Biomedical Imaging (ISBI) – one-page abstract, 2023.
- Tien-Phong Pham, Benoit Presles, Romain Popoff, Jean-Louis Alberini, and Jean-Marc Vrigneaud. Pre-treatment dosimetry of 90Y-SIRT in hepatic tumours : optimisation of reconstruction parameters and calculation methods. In European Association of Nuclear Medicine (EANM), Barcelona, Spain. European Journal of Nuclear Medicine and Molecular Imaging, 2022.
- Diana M. Marin-Castrillon, Arnaud Boucher, Siyu Lin, Chloe Bernard, Marie-Catherine Morgant, Alexandre Cochet, Alain Lalande, Olivier Bouchot, and Benoit Presles. Multi-atlas Segmentation of the Aorta from 4D Flow MRI : Comparison of Several Fusion Strategies. In Statistical Atlases and Computational Models of the Heart (STACOM) 2021, Virtual. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge. Lecture Notes in Computer Science, volume 13131, pages 3–11, 2022
Computer science teaching:
Since 2016: CM-TP-TD in databases, L3 level
Since 2016: CM-TP-TD in programming, L3 level
Since 2021: CM-TP-TD in mobile programming, M2 level (final year of engineering school)
Teaching in artificial intelligence:
Since 2020: CM-TP on machine learning, M2 level
Thesis co-direction:
- Petros-Konstantinos Iosifidis (in progress). PhD director: Dr. Jean-Marc Vrigneaud
Mme Diana Marín (2022). PhD director: Prof.-MD Olivier Bouchot
Thesis co-supervision:
Mr. Pierre Bugnon (in progress). PhD director: Prof.-MD Jean-Louis Alberini
Mr. Tien-Phong Pham (in progress). PhD director: Prof.-MD Jean-Louis Alberini
Mr. Félix Quinton (2025). PhD director: Prof.-MD Jean-Louis Alberini, co-director Prof. Fabrice Meriaudeau
Mr. Antoine Merlet (2024). PhD director: Prof.-MD Alexandre Cochet, co-director Dr. Jean-Marc Vrigneaud
Ms. Néréa Payan (2020). PhD director: Prof.-MD Alexandre Cochet
Supervision of trainees:
11 M2 trainees since 2016