Sheet of BOUCHER Arnaud

2014 : Maître de conférences, University of Bourgundy, France

2013 : Doctorat en Informatique, Université Paris Descartes, PhD director : Nicole Vincent, Paris, France

• Caractérisation des contraintes biomécaniques subit par l’aorte par IA sur IRM
• Segmentation de l’aorte sur IRM de flux 4D
• Segmentation du myocarde par Deep Learning
• Recalage IRM/TEP

1. Marin-Castrillón DM., Lalande A., Leclerc S., Ambarki K., Morgant MC., Cochet A., Lin S., Bouchot O., Boucher A., Presles B., 4D segmentation of the thoracic aorta from 4D flow MRI using deep learning. Magnetic Resonance Imaging (IF: 3.13), 2023.
2. Markodimitrakis E., Lin S., Koutoulakis E., Marín-Castrillón DM., Sáez FAT., Leclerc S., Bernard C., Boucher A., Presles B., Bouchot O., Decourselle T., Morgant MC., Lalande A., Comparison of In-Vivo and Ex-Vivo Ascending Aorta Elastic Properties through Automatic Deep Learning Segmentation of Cine-MRI and Biomechanical Testing. Journal of Clinical Medicine (IF: 4.96), 2023, vol. 12, no 2, p. 402.
3. Lalande A., Chen Z., Pommier T., Decourselle T., Qayyum A., Salomon M., Ginhac D., Skandarani Y., Boucher A., Brahim K., De Bruijne M., Camarasa R., Correia TM., Feng X., Girum KB., Hennemuth A., Huellebrand M., Hussain R., Ivantsits M., Ma J., Meriaudeau F., Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge. Medical Image Analysis (IF: 13.83), 2022, vol. 79, p. 102428.
4. Brahim K., Arega TW., Boucher A., et al., An Improved 3D Deep Learning-Based Segmentation of Left Ventricular Myocardial Diseases from Delayed-Enhancement MRI with Inclusion and Classification Prior Information U-Net (ICPIU-Net). Sensors (IF: 3.85), 2022, vol. 22, no 6, p. 2084.
5. Brahim K., Qayyum A., Lalande A., Boucher A., Saklyc A., Meriaudeau F., A 3D network based shape prior for automatic myocardial disease segmentation in delayed-enhancement MRI. Innovation and Research in BioMedical engineering IRBM (IF: 5.5), 2021, vol. 42, no 6, p. 424-434.

1. Marin-Castrillón DM., Boucher A., Lin S., et al., Multi-atlas Segmentation of the Aorta from 4D Flow MRI: Comparison of Several Fusion Strategies. In: Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge: 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers. Cham: Springer International Publishing, 2022. p. 3-11.
2. Brahim K., Qayyum A., Lalande A., Boucher A., Sakly A., Meriaudeau F., A deep learning approach for the segmentation of myocardial diseases. In: 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. p. 4544-4551.
3. Brahim K., Qayyum A., Lalande A., Boucher A., Sakly A., Meriaudeau F., Efficient 3D deep learning for myocardial diseases segmentation. In: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges: 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers 11. Springer International Publishing, 2021. p. 359-368.

Teaching in informatics:
– Programmation Python, MSc level (20h/an)
– Base de données, BSc and MSc level (60h/an)
– Modélisation des données, MSc level (30h/an)
– Système d’exploitation, BSc level (30h/an)

Responsabilities :
– Member of Education Council of ISAT
– Head of Licence Professionnelle ASSR GSIE (BSc)

PhD Supervision :
Dominika KRUK (2019), PhD director : Tadeusz SLIWA
Khawla BRAHIM (2021), PhD director : Fabrice MERIAUDEAU
Diana Marcela MARIN CASTRILLON (2022), PhD director : Olivier BOUCHOT

Internship supervision :
3 MSc students since 2020
20 BSc students since 2020