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Dive into the research topics where Stéphanie Allassonniere is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Untangling Vascular Trees for Surgery and Interventional Radiology
Houry, G., Boeken, T., Allassonnière, S. & Feydy, J., 1 Jan 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Park, J., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 669-679 11 p. (Lecture Notes in Computer Science; vol. 15968 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study
Ferré, F., Allassonnière, S., Chadebec, C. & Minville, V., 1 Jan 2025, In: Journal of Medical Internet Research. 27, e63130.Research output: Contribution to journal › Article › peer-review
Open Access -
Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework
Gaudfernau, F., Blondiaux, E., Allassonnière, S. & Le Pennec, E., 1 Apr 2025, In: Journal of Mathematical Imaging and Vision. 67, 2, 10.Research output: Contribution to journal › Article › peer-review
Open Access -
Artificial Intelligence in Endocrinology: On Track Toward Great Opportunities
Assié, G. & Allassonnière, S., 1 Jun 2024, In: Journal of Clinical Endocrinology and Metabolism. 109, 6, p. e1462-e1467Research output: Contribution to journal › Comment/debate
Open Access -
Exploring de-anonymization risks in PET imaging: Insights from a comprehensive analysis of 853 patient scans
Bou Hanna, E., Partarrieu, S., Berenbaum, A., Allassonnière, S. & Besson, F. L., 1 Dec 2024, In: Scientific Data. 11, 1, 932.Research output: Contribution to journal › Article › peer-review
Open Access -
T-REP: REPRESENTATION LEARNING FOR TIME SERIES USING TIME-EMBEDDINGS
Fraikin, A., Bennetot, A. & Allassonnière, S., 1 Jan 2024.Research output: Contribution to conference › Paper › peer-review
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Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Chadebec, C., Thibeau-Sutre, E., Burgos, N. & Allassonniere, S., 1 Mar 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 3, p. 2879-2896 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Development and clinical validation of real-time artificial intelligence diagnostic companion for fetal ultrasound examination
Stirnemann, J. J., Besson, R., Spaggiari, E., Rojo, S., Loge, F., Peyro-Saint-Paul, H., Allassonniere, S., Le Pennec, E., Hutchinson, C., Sebire, N. & Ville, Y., 1 Sept 2023, In: Ultrasound in Obstetrics and Gynecology. 62, 3, p. 353-360 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Geometric Perspective on Variational Autoencoders
Chadebec, C. & Allassonnière, S., 1 Jan 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Image Feature Mapping Model for Continuous Longitudinal Data Completion and Generation of Synthetic Patient Trajectories
Chadebec, C., Huijben, E. M. C., Pluim, J. P. W., Allassonnière, S. & van Eijnatten, M. A. J. M., 1 Jan 2022, Deep Generative Models - 2nd MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Zhu, D. & Yuan, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 55-64 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13609 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review