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Lapuyade-Lahorgue, Jérôme
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1

End-to-End Autoencoding Architecture for the Simultaneous G..:

, In: Lecture Notes in Electrical Engineering; Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023),
Kebaili, Aghiles ; Lapuyade-Lahorgue, Jérôme ; Vera, Pierre. - p. 32-40 , 2024
Link: https://doi.org/10.1007/..
 
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2

Deep Learning Approaches for Data Augmentation in Medical I..:

Kebaili, Aghiles ; Lapuyade-Lahorgue, Jérôme ; Ruan, Su
Journal of Imaging.  9 (2023)  4 - p. 81 , 2023
Link: https://doi.org/10.3390/..
 
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3

Deep Learning Based Radiomics to Predict Treatment Response..:

, In: Medical Imaging and Computer-Aided Diagnosis; Lecture Notes in Electrical Engineering,
Brochet, Thibaud ; Lapuyade-Lahorgue, Jérôme ; Huat, Alexandre... - p. 431-440 , 2023
Link: https://doi.org/10.1007/..
 
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4

Prediction of Head-Neck Cancer Recurrence from Pet/CT Image..:

, In: 2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA),
Brochet, Thibaud ; Lapuyade-Lahorgue, Jerome ; Li, Hua... - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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5

A Quantitative Comparison between Shannon and Tsallis–Havrd..:

Brochet, Thibaud ; Lapuyade-Lahorgue, Jérôme ; Huat, Alexandre...
Entropy.  24 (2022)  4 - p. 436 , 2022
Link: https://doi.org/10.3390/..
 
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6

MR image synthesis using Riemannian geometry constrained in..:

, In: 2022 16th IEEE International Conference on Signal Processing (ICSP),
Nada, Jannane ; Bougleux, Sebastien ; Lapuyade-Lahorgue, Jerome.. - p. 485-488 , 2022
Link: https://doi.org/10.1109/..
 
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7

Correction: Brochet et al. A Quantitative Comparison betwee..:

Brochet, Thibaud ; Lapuyade-Lahorgue, Jérôme ; Huat, Alexandre...
Entropy.  24 (2022)  5 - p. 685 , 2022
Link: https://doi.org/10.3390/..
 
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8

Deep learning based automatic detection of uninformative im..:

, In: 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA),
Brochet, Thibaud ; Lapuyade-Lahorgue, Jerome ; Bougleux, Sebastien.. - p. 1-5 , 2020
Link: https://doi.org/10.1109/..
 
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9

Gaussian-based Spatial Hybrid Distances for Detection and S..:

, In: 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI),
Hu, Haigen ; Decazes, Pierre ; Lapuyade-Lahorgue, Jerome.. - p. 1-5 , 2019
Link: https://doi.org/10.1109/..
 
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10

Semi-automatic lymphoma detection and segmentation using fu..:

Yu, Yuntao ; Decazes, Pierre ; Lapuyade-Lahorgue, Jérôme...
Computerized Medical Imaging and Graphics.  70 (2018)  - p. 1-7 , 2018
Link: https://doi.org/10.1016/..
 
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11

Generation of pseudo-CT from a single MRI for PET/MR attenu..:

Monnier, Florian ; Fayad, Hadi ; Bert, Julian...
EJNMMI Physics.  1 (2014)  S1 - p. , 2014
Link: https://doi.org/10.1186/..
 
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12

Unsupervised segmentation of hidden semi-Markov non-station..:

Lapuyade-Lahorgue, Jérôme ; Pieczynski, Wojciech
Signal Processing.  92 (2012)  1 - p. 29-42 , 2012
Link: https://doi.org/10.1016/..
 
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13

Unsupervised segmentation of randomly switching data hidden..:

Lanchantin, Pierre ; Lapuyade-Lahorgue, Jérôme ; Pieczynski, Wojciech
Signal Processing.  91 (2011)  2 - p. 163-175 , 2011
Link: https://doi.org/10.1016/..
 
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14

Unsupervised segmentation of new semi-Markov chains hidden ..:

Lapuyade-Lahorgue, Jérôme ; Pieczynski, Wojciech
Signal Processing.  90 (2010)  11 - p. 2899-2910 , 2010
Link: https://doi.org/10.1016/..
 
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15

Unsupervised segmentation of triplet Markov chains hidden w..:

Lanchantin, Pierre ; Lapuyade-Lahorgue, Jérôme ; Pieczynski, Wojciech
Signal Processing.  88 (2008)  5 - p. 1134-1151 , 2008
Link: https://doi.org/10.1016/..
 
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