Anaïs Badoual

— Inria Junior Researcher —

Brief Vitae

Anaïs Badoual received the M.Sc. degree in information technology and communication for health from Télécom Physique Strasbourg, France, and the M.Sc. degree in image processing from the University of Strasbourg, in 2014. She completed her Ph.D. degree in 2019 with the Biomedical Imaging Group under the supervision of Michael Unser, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. She then has been a Postdoctoral Fellow in the SERPICO Project-Team at Inria Rennes. Since 2021, she is an Inria Junior Researcher with SERPICO. Her work focuses on the development of new biomedical image analysis algorithms, with particular interest in segmentation methods. Her research interests include approximation theory, signal and image processing, computer vision, machine learning, and life sciences.

The main research projects and the related software developed during her PhD can be found here. A track of her publications is possible through her Google Scholar page.

Main Research Projects

Active contours and surfaces for segmentation — More about these projects here.

“Simulation of Astrocytic Calcium Dynamics in Lattice Light Sheet Microscopy Images” — More about this project here.

Publications

Thesis Manuscript

A. Badoual, “Subdivide and conquer: Active contours and surfaces for biomedical image segmentation,” April 2019

Journal Papers

E. Meunier, A. Badoual, P. Bouthemy, “EM-Driven Unsupervised Learning for Efficient Motion Segmentation“, in IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, September 2022
A. Covelo, A. Badoual, A. Denizot, “Reinforcing Interdisciplinary Collaborations to Unravel the Astrocyte “Calcium Code”“, in Journal of Molecular Neuroscience, vol. 72, pp. 1443-1455, May 2022
A. Badoual, L. Romani, M. Unser, “Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes“, in IEEE Transactions on Image Processing, vol. 30, pp. 5739-5753, June 2021
A. Badoual, M. Unser, A. Depeursinge, “Texture-driven parametric snakes for semi-automatic image segmentation”, in Computer Vision and Image Understanding, vol. 188, paper no. 102793, pp. 1-11, November 2019
A. Badoual, J. Fageot, M. Unser, “Periodic splines and Gaussian processes for the resolution of linear inverse problems”, in IEEE Transactions on Signal Processing, vol. 66, no. 22, pp. 6047-6061, November 2018
R. Schorer, A. Badoual, B. Bastide, A. Vandebrouck, M. Licker, D. Sage, “A feasability study of color flow Doppler vectorization for automated blood flow monitoring”, in Journal of Clinical Monitoring and Computing, vol. 31, no. 6, pp. 1167-1175, December 2017
A. Badoual, P. Novara, L. Romani, D. Schmitter, M. Unser, “A non-stationary subdivision scheme for the construction of deformable models with sphere-like topology”, in Graphical Models, Elsevier, vol. 94, pp. 38-51, November 2017
D. Schmitter, J. Fageot, A. Badoual, P. Garcia-Amorena, M. Unser, “Compactly-supported smooth interpolators for shape modeling with varying resolution”, in Graphical Models, vol. 94, pp. 52-64, November 2017
A. Badoual, D. Schmitter, V. Uhlmann, M. Unser, “Multiresolution subdivision snakes”, in IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1188-1201, March 2017
A. Badoual, D. Schmitter, M. Unser, “An inner-product calculus for periodic functions and curves”, in IEEE Signal Processing Letters, vol. 23, no. 6, pp. 878-882, June 2016

Conference Papers

E. Meunier, A. Badoual, P. Bouthemy, “Apprentissage Profond Non Supervisé Fondé sur l’Algorithme EM pour la Segmentation du Mouvement”, in RFIAP 2022, Vannes, France, July 5-8, 2022
A. Badoual, M. Arizono, A. Denizot, M. Ducros, H. Berry, U. V. Nägerl, C. Kervrann, “Simulation of astrocytic calcium dynamics in lattice light sheet microscopy images”, in Proceedings of the Eighteenth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI’21), Nice, France, April 13-16, 2021, pp. 135-139
A. Badoual, A. Galan, D. Sage, M. Unser, “Deforming tessellations for the segmentation of cell aggregates”, in Proceedings of the Sixteenth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI’19), Venice, Italy, April 8-11, 2019, pp. 1013-1017
L. Romani, A. Badoual, M. Unser, “Normal-based interpolating subdivision for the geometric representation of deformable models”, in Proceedings of the Sixteenth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI’19), Venice, Italy, April 8-11, 2019, pp. 1839-1843
A. Badoual, D. Schmitter, M. Unser, “Local refinement for 3D deformable parametric surfaces”, in Proceedings of the 2016 IEEE International Conference on Image Processing (ICIP’16), Phoenix AZ, USA, September 25-28, 2016, pp. 1086-1090
A. Badoual, M. Gérard, B. de Leener, N. Abi-Jaoudeh, S. Kadoury, “3D vascular path planning of chemoembolizations using segmented hepatic arteries from MR angiography”, in Proceedings of the Thirteenth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI’16), Prague, Czech Republic, April 13-16, 2016, pp. 1346-1349
M. Gérard, A. Tang, A. Badoual, F. Michaud, A. Bigot, G. Soulez, S. Kadoury, “Visualization of hepatic arteries with 3D ultrasound during intra-arterial therapies”, in Proceedings of the SPIE International Symposium on Medical Imaging: Image-Guided Procedures, Robotic Interventions, and Modeling (SPIE-IGPRIM’16), San Diego CA, USA, February 27-March 3, 2016, vol. 9786, pp. 97862I-1–97862I-7
A. Badoual, D. Schmitter, M. Unser, “Locally refinable parametric snakes”, in Proceedings of the 2015 IEEE International Conference on Image Processing (ICIP’15), Québec QC, Canada, September 27-30, 2015, pp. TEC-P21.2