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.
Some implementations are also available (mostly recent papers) and linked here.

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.
  19. Ouali S, Courbot J-B, Pierron R and Haeberle O (2024), "Bayesian image segmentation under varying blur with triplet Markov random field", Inverse Problems. Vol. 40, pp. 095010. IOP Publishing. [code]
  20. Moukadem A, Pascal B, Courbot J-B and Juillet N (2024), "The Analytic Stockwell Transform and its Zeros", Arxiv preprint. [code]

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.
  24. Schabat S, Collichio B, Courbot J-B, Dieterlen A and M'Kacher R (2024), "Chromosome localisation and segmentation in fluorescence microscopy images", In 2024 32nd European Signal Processing Conference (EUSIPCO).
  25. Mukherjee J and Courbot J-B (2024), "Connecting the Dots: Isolated Trails of Detected Narrow Rivers in Multispectral Images", In 2024 27th International Conference on Pattern Recognition (ICPR). [code]
  26. Munsch J, Ouali S, Courbot J-B, Pierron R and Haeberlé O (2024), "Data augmentation for pathogen segmentation in vinewood fluorescence microscopy images", In Upper-Rhine Artificial Intelligence Symposium (URAI) 2024. [url]

Some presentations

  1. Courbot J-B (2024), Traitement d'images en imagerie astronomique, conférence invitée de la SAFGA. [url]
  2. Courbot J-B (2024), Off-the grid, in the clouds, and beyond. Moka10 - 10 years of Mokaplan. [url]

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.