Meghane Decroocq
Assistant professor of Data Science and AI
Ph.D. – Tohoku University
Education
2023 Ph.D. Graduate School of Biomedical Engineering, Tohoku University, Japan
2023 Ph.D. (double degree) Applied Informatics, Institute of Applied Sciences of Lyon, France
2019 M.E. Biosciences option Bioinformatics and Modeling, Institute of Applied Sciences of Lyon, France
Teaching & Research Interests
Medical Imaging, Image Analysis, Deep Learning, Computer Vision
Academic Appointments
2026- Assistant Professor, Tokyo International University
2023-2026 Postdoctoral Researcher, RIKEN, Japan
Fellowships & Grants
2023-2025 JSPS Postdoctoral Fellowship for Research in Japan
Selected Publications/Conference Papers
Journal Articles
Decroocq M., Frindel C., Rougé P., Ohta M. & Lavoué G. (2023). “Modeling and hexahedral meshing of cerebral arterial networks from centerlines”. Medical Image Analysis, 89, 102912.
Decroocq M., Des Ligneris M., Poquillon T., Vincent M., Aubert M., Jacquesson T. & Frindel C. (2022). “Automation of Cranial Nerve Tractography by Filtering Tractograms for Skull Base Surgery”, Frontiers in Neuroimaging, 1, 838483.
Conference Proceedings
Decroocq M., Onishi K., Shimogori T., Skibbe H. (Aug. 2026). “Registration of Spatial Transciptomics Images to an Atlas using Implicit Neural Representations.” Medical Imaging with Deep Learning-Short Papers
Decroocq M., Poon C., Schlachter M. & Skibbe H. (Sept. 2025). Benchmarking Evaluation Metrics for Tubular Structure Segmentation in Biomedical Images. Shape in Medical Imaging Workshop of the Medical Image Computing and Computer Assisted Intervention International Conference. (pp. 87-102). Springer.
Decroocq M., Xu B., Thompson-Peer K. L., Moore A. & Skibbe H. (July 2024). Multi-scale Stochastic Generation of Labelled Microscopy Images for Neuron Segmentation, Medical Imaging with Deep Learning Conference. (pp.352-366). PMLR.
Decroocq M., Lavoué G., Ohta M. & Frindel C. (July 2022). A Software to Visualize, Edit, Model and Mesh Vascular Networks, 44th Annual International Conference of the IEEE Engineering in Medicine Biology Society. (pp. 2208-2214). IEEE.
Decroocq M., Des Ligneris M., Jacquesson T. & Frindel C., Viewpoint Selection for Fibrous Structures in a Pre-operative Context: Application to Cranial Nerves Surrounding Skull Base Tumors, International Conference on Systems, Signals and Image Processing. (pp. 53-64) Springer.
Debs N., Decroocq M., Cho T.H., Rousseau D., Frindel C. (Oct. 2029). Evaluation of the realism of an MRI simulator for stroke lesion prediction using convolutional neural network, International Workshop on Simulation and Synthesis in Medical Imaging. (pp. 151-160) Springer.