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2020 – today
- 2022
[j2]Aline Taoum
, Alexis Bisiaux, Florian Tilquin, Yann Le Guillou, Guy Carrault:
Validity of Ultra-Short-Term HRV Analysis Using PPG - A Preliminary Study. Sensors 22(20): 7995 (2022)
2010 – 2019
- 2019
- [b1]Florian Tilquin:
Statistical models on manifolds for anomaly detection in medical images. (Modèles statistiques sur des variétés pour la détection d'anomalies dans les images médicales). University of Strasbourg, France, 2019 - [j1]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. 89: 289-301 (2019) - [c5]Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer:
Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP 2019: 2867-2871 - [c4]Hugo Touvron, Sylvain Faisan, Florian Tilquin, Vincent Noblet:
Pitfalls Related To Computer-Aided Diagnosis System Learned From Multiple Databases. ISBI 2019: 806-809 - [i1]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. CoRR abs/1902.09596 (2019) - 2018
- [c3]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP 2018: 1-6 - [c2]Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz:
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI 2018: 39-47 - 2017
- [c1]Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux:
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI 2017: 490-493
Coauthor Index
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