Publications

All journal publications and some conference papers are available in preprint version on the HAL archives. Should one miss, do not hesitate to contact me.

Journal papers

  1. 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. 1-22. SpringerOpen.
  2. Wisotzki L, Bacon R, Blaizot J, Brinchmann J, Herenz EC, Schaye J, Bouché N, Cantalupo S, Contini T, Carollo CM and others (2016), "Extended Lyman α haloes around individual high-redshift galaxies revealed by MUSE", Astronomy & Astrophysics. Vol. 587, pp. A98. EDP Sciences.
  3. Bacon R, Conseil S, Mary D, Brinchmann J, Shepherd M, Akhlaghi M, Weilbacher PM, Piqueras L, Wisotzki L, Lagattuta D and others (2017), "The muse hubble ultra deep field survey-i. survey description, data reduction, and source detection", Astronomy & Astrophysics. Vol. 608, pp. A1. EDP Sciences.
  4. 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.
  5. Courbot J-B, Monfrini E, Mazet V and Collet C (2018), "Oriented triplet Markov fields", Pattern Recognition Letters. Vol. 103, pp. 16-22. North-Holland.
  6. Foucault L, Verrier N, Debailleul M, Courbot J-B, Colicchio B, Simon B, Vonna L and Haeberle O (2019), "Versatile transmission/reflection tomographic diffractive microscopy approach", JOSA A. Vol. 36(11), pp. C18-C27. Optical Society of America.
  7. Courbot J-B, Mazet V, Monfrini E and Collet C (2019), "Pairwise Markov fields for segmentation in astronomical hyperspectral images", Signal Processing. Vol. 163, pp. 41-48. Elsevier.
  8. Courbot J-B, Duval V and Legras B (2020), "Sparse analysis for mesoscale convective systems tracking", Signal Processing: Image Communication. Vol. 85, pp. 115854. Elsevier.
  9. Verrier N, Foucault L, Debailleul M, Courbot J-B, Colicchio B, Simon B, Vonna L and Haeberlé O (2020), "Mirror-effect based tomographic diffraction microscopy", In Unconventional Optical Imaging II. Vol. 11351, pp. 9-17.
  10. Courbot J-B and Colicchio B (2021), "A fast homotopy algorithm for gridless sparse recovery", Inverse Problems. Vol. 37(2), pp. 025002. IOP Publishing.
  11. Gangloff H, Courbot J-B, Monfrini E and Collet C (2021), "Unsupervised image segmentation with Gaussian pairwise Markov fields", Computational Statistics & Data Analysis. Vol. 158, pp. 107178. North-Holland.
  12. Taddese AM, Verrier N, Debailleul M, Courbot J-B and Haeberlé O (2021), "Optimizing sample illumination scanning in transmission tomographic diffractive microscopy", Applied Optics. Vol. 60(6), pp. 1694-1704. Optica Publishing Group.
  13. Taddese AM, Verrier N, Debailleul M, Courbot J-B and Haeberlé O (2021), "Optimizing sample illumination scanning for reflection and 4Pi tomographic diffractive microscopy", Applied Optics. Vol. 60(25), pp. 7745-7753. Optica Publishing Group.
  14. Abbessi R, Verrier N, Taddese AM, Laroche S, Debailleul M, Lo M, Courbot J-B and Haeberlé O (2022), "Multimodal image reconstruction from tomographic diffraction microscopy data", Journal of Microscopy.
  15. Karheily S, Moukadem A, Courbot J-B and Abdeslam DO (2022), "sEMG time--frequency features for hand movements classification", Expert Systems with Applications. Vol. 210, pp. 118282. Pergamon.
  16. Wang X, Iwabuchi H and Courbot J-B (2022), "Analysis of Diurnal Evolution of Cloud Properties and Convection Tracking over the South China Coastal Area", Remote Sensing. Vol. 14(19), pp. 5039. MDPI.
  17. Courbot J-B and Colicchio B (2022), "Transformed Gaussian Random Fields for Unsupervised Image Deconvolution", Signal Processing Letters. Vol. 29, pp. 2702-2706. IEEE.[code]
  18. Courbot J-B, Moukadem A, Colicchio B and Dieterlen A (2023), "Sparse Off-the-Grid Computation of the Zeros of STFT", Signal Processing Letters. Vol. 30, pp. 788-792. IEEE.

Conference papers

  1. Courbot J-B, Rust E, Monfrini E and Collet C (2015), "2-step robust vertebra segmentation", In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). , pp. 157-162.
  2. Courbot J-B, Rust E, Monfrini E and Collet C (2015), "Segmentation robuste de vertèbres", In GRETSI.
  3. 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 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). , pp. 1891-1895.
  4. Courbot J-B, Monfrini E, Mazet V and Collet C (2016), "Oriented Triplet Markov fields for hyperspectral image segmentation", In 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
  5. 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.
  6. Courbot J-B (2018), "Multi-Bernoulli Filter Implementation in Images", In 2018 26th European Signal Processing Conference (EUSIPCO), pp. 1132-1136.
  7. Courbot J-B, Monfrini E, Mazet V and Collet C (2018), "Triplet Markov trees for image segmentation", In 2018 IEEE Statistical Signal Processing Workshop (SSP). , pp. 233-237.
  8. Courbot J-B, Duval V and Legras B (2019), "Analyse parcimonieuse pour la poursuite de systèmes nuageux" In GRETSI 2019: XXVIIème colloque.
  9. Gangloff H, Courbot J-B, Monfrini E and Collet C (2019), "Segmentation non-supervisée dans les champs de Markov couples gaussiens", In GRETSI 2019: XXVIIème colloque francophone de traitement du signal et des images. , pp. 177-180.
  10. Gangloff H, Courbot J-B, Monfrini E and Collet C (2020), "Spatial Triplet Markov Trees for Auxiliary Variational Inference in Spatial Bayes Networks", In SMTDA 2020: 6th international conference on Stochastic Modeling Techniques and Data Analysis. , pp. 237-249.
  11. Karheily S, Moukadem A, Courbot J-B and Abdeslam DO (2020), "Time-frequency Features for sEMG Signals Classification.", In BIOSIGNALS. , pp. 244-249.
  12. Verrier N, Foucault L, Debailleul M, Courbot J-B, Colicchio B, Simon B, Vonna L and Haeberlé O (2020), "Mirror-effect based tomographic diffraction microscopy", In Unconventional Optical Imaging II. Vol. 11351, pp. 9-17.
  13. Courbot J-B and Colicchio B (2020), "Boosting the Sliding Frank-Wolfe solver for 3D deconvolution", ITWIST 2020.
  14. Courbot J-B and Mazet V (2021), "Pairwise and Hidden Markov Random Fields in Image Segmentation", In 2020 28th European Signal Processing Conference (EUSIPCO). , pp. 2458-2462.
  15. Gangloff H, Courbot J-B, Monfrini E and Collet C (2021), "Unsupervised Image Segmentation with Spatial Triplet Markov Trees", In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1790-1794.
  16. Karheily S, Moukadem A, Courbot J-B and Abdeslam DO (2022), "sEMG feature extraction using Generalized Discrete Orthonormal Stockwell Transform and Modified Multi-Dimensional Scaling", In 2022 30th European Signal Processing Conference (EUSIPCO) , pp. 1198-1202.
  17. Karheily S, Moukadem A, Courbot J-B and Abdeslam DO (2022), "Extraction de caractéristique améliorée pour les signaux sEMG par transformées temps-fréquence et réduction de dimension", In Actes du 28e colloque GRETSI, Nancy, France.
  18. Ouali S, Courbot J-B, Pierron R and Haeberle O (2022), "Segmentation statistique d’images du bois de vigne par champs de Markov triplets", In Actes du 28e colloque GRETSI, Nancy, France.
  19. Courbot J-B and Colicchio B (2022), "Déconvolution bayésienne d’images 3D avec a priori de Gauss-Markov", In Actes du 28e colloque GRETSI, Nancy, France.
  20. Belguermi Y, Moukadem A and Courbot J-B (2022), "Classification des signaux ECG par une transformée temps-fréquence optimisée et réseaux de neurones profonds" , In Actes du 28e colloque GRETSI, Nancy, France.
  21. Abbessi R, Laroche S, Verrier N, Courbot J-B, Debailleul M and Haeberlé O (2022), "Multimodal microscopy from tomographic diffraction microscopy acquisitions", In Unconventional Optical Imaging III. Vol. 12136, pp. 205-210.
  22. Ouali S, Courbot J-B, Pierron R and Haeberle O (2023), "Approximation gaussienne de champs de Markov pour la segmentation non supervisée d’images", In Actes du 29e colloque GRETSI, Grenoble, France.
  23. Ouali S, Courbot J-B, Pierron R and Haeberle O (2023), "Statistical image segmentation of vines' wood colonized by Neofusicoccum parvum in fluorescence microscopy", In 12th International Congress of Plant Pathology, Lyon, France.

Misc

  1. Courbot J-B (2017), "Traitement statistique d'images hyperspectrales pour la détection d'objets diffus: application aux données astronomiques du spectro-imageur MUSE". Thesis at: Strasbourg.
  2. Moukadem A, Courbot J-B, Colicchio B and Dieterlen A (2021), "On the Zeros of the Stockwell and Morlet Wavelet Transforms". Technical report.