Publications

Thèse

J.-B. Courbot. Traitement statistique d’images hyperspectrales pour la détection d’objets diffus : application aux données astronomiques du spectro-imageur MUSE.  Université de Strasbourg, 2017. Accès à l’archive HAL.


Articles de revue

[soumis] Courbot J-B,  Mazet V, Monfrini E, and Collet C, “Pairwise Markov Fields for Segmentation in Astronomical Hyperspectral Images” [preprint sur demande].
[J5] Courbot J-B, Monfrini E, Mazet V and Collet C (2018), “Oriented Triplet Markov Fields”, Pattern Recognition Letters. Elsevier. [URL] [Code]
[J4] Bacon R et al. (2017), “The MUSE Hubble Ultra Deep Field Survey-I. Survey description, data reduction, and source detection”, Astronomy & Astrophysics. Vol. 608, pp. A1. EDP Sciences. [URL]
[J3] Courbot J-B, Mazet V, Monfrini E and Collet C (2017), “Extended faint source detection in astronomical hyperspectral images”, Signal Processing. Vol. 135, pp. 274-283. Elsevier. [URL] [Code]
[J2] Courbot J-B, Rust E, Monfrini E and Collet C (2016), “Vertebra segmentation based on two-step refinement”, Journal of computational surgery. Vol. 4(1), pp. 1. Springer. [URL]
[J1] Wisotzki L, et al. (2016), “Extended Lyman alpha haloes around individual high-redshift galaxies revealed by MUSE”, Astronomy & Astrophysics. Vol. 587, pp. A98. EDP Sciences. [URL]


Conférences

[C7] Courbot J-B, “Multi-Bernoulli Filter Implementation in Images”, In Signal Processing Conference (EUSIPCO), 2018 26th European.
[C6] Courbot J-B,  Monfrini E, Mazet V, and Collet C, “Triplet Markov Trees for image segmentation”, Statistical Signal Processing (SSP), 2018 IEEE Workshop on., pp. 233-237.
[C5] Courbot J-B, Monfrini E, Mazet V and Collet C (2017), “Arbres de Markov triplets pour la segmentation d’images”, In GRETSI 2017: XXVIème colloque.  [URL]
[C4] Courbot J-B, Monfrini E, Mazet V and Collet C (2016), “Oriented Triplet Markov Field for Hyperspectral Image Segmentation”, In IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing. [URL]
[C3] Courbot J-B, Mazet V, Monfrini E and Collet C (2016), “Detection of faint extended sources in hyperspectral data and application to HDF-S MUSE observations”, In Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on. , pp. 1891-1895. [URL]
[C2] Courbot J-B, Rust E, Monfrini E and Collet C (2015), “2-Step robust vertebra segmentation”, In Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on. , pp. 157-162. [URL]
[C1] Courbot J-B, Rust E, Monfrini E and Collet C (2015), “Segmentation robuste de vertèbres”, In GRETSI 2015: XXVème colloque. [URL]


Présentations

♦ Détection de sources ténues dans des images hyperspectrales astronomiques, Réunion scientifique du GDR ISIS  Inversion et problèmes multi-, mars 2017.
The MUSE Instrument for Lyman-alpha Haloes Detection, séminaire de l’Observatoire de Strasbourg, mars 2016.
♦ MUSE : les observations astronomiques et leur traitement, Séminaire TIPIC, février 2016.
♦ Statistical Modeling For Automatic Vertebra Segmentation, 5th Annual International Conference in Computational Surgery and Dual Training (Cosine), Bethesda, MD, USA, janvier 2015.
♦ Segmentation vertébrale coarse-to-fine et markovienne, Séminaire MIV, octobre 2014.