Jérôme Lapuyade‐Lahorgue

Author

Centre National de la Recherche Scientifique ORCID

Also Known As

J Lapuyade‐Lahorgue, J. Lapuyade-Lahorgue, Jerome Lapuyade-Lahorgue, Jerome Lapuyade‐Lahorgue, Jérôme Lapuyade-Lahorgue, Jérôme Lapuyade-Lahorgue, Jérôme Lapuyade‐Lahorgue, Jérǒme Lapuyade-Lahorgue, Lapuyade-Lahorgue, Jerome, Lapuyade-Lahorgue, Jérôme

Publications

623

Citations

H-Index

Concepts

All Affiliations

Centre National de la Recherche Scientifique Université de Rouen Normandie Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Institut Polytechnique de Paris Laboratoire de Traitement de l'Information Médicale

About

Jérôme Lapuyade‐Lahorgue is an author at Centre National de la Recherche Scientifique specializing in engineering, pattern recognition, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	322
2	Medicine	3	3	100
3	Biostatistics	3	3	73
4	Business	1	1	22
5	Health Sciences	1	1	11

Jérôme Lapuyade‐Lahorgue

Publications

354

Citations

H-Index

Page 1

	Year	Citations
Radar detection using Siegel distance between autoregressive processes, application to HF and X-band radar Jérôme Lapuyade‐Lahorgue, Frédéric Barbaresco EngineeringMeasurementSpectrum EstimationCfar TechniqueSiegel Distance	2008	69
Unsupervised segmentation of randomly switching data hidden with non-Gaussian correlated noise Pierre Lanchantin, Jérôme Lapuyade‐Lahorgue, Wojciech Pieczynski Signal Processing Statistical Signal ProcessingImage AnalysisMachine LearningData ScienceData Mining	2010	52
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions Jérôme Lapuyade‐Lahorgue, Jing‐Hao Xue, Su Ruan IEEE Transactions on Image Processing Scene AnalysisEngineeringMachine LearningMulti-image FusionImage Sequence Analysis	2017	42
Semi-automatic lymphoma detection and segmentation using fully conditional random fields Yuntao Yu, Pierre Decazes, Jérôme Lapuyade‐Lahorgue, Computerized Medical Imaging and Graphics Image AnalysisMachine LearningMedical ImagingEngineeringPattern Recognition	2018	38
Unsupervised segmentation of triplet Markov chains hidden with long-memory noise Pierre Lanchantin, Jérôme Lapuyade‐Lahorgue, Wojciech Pieczynski Signal Processing EngineeringMachine LearningData SciencePattern RecognitionHidden Markov Model	2007	34
Unsupervised segmentation of hidden semi-Markov non-stationary chains Jérôme Lapuyade‐Lahorgue, Wojciech Pieczynski Signal Processing Machine VisionEngineeringPattern RecognitionHidden Markov ModelKnowledge Discovery	2011	24
Modeling and Unsupervised Classification of Multivariate Hidden Markov Chains With Copulas Nicolas Brunel, Jérôme Lapuyade‐Lahorgue, Wojciech Pieczynski IEEE Transactions on Automatic Control EngineeringUseful CopulasData ScienceData MiningPattern Recognition	2010	22
SPEQTACLE: An automated generalized fuzzy C‐means algorithm for tumor delineation in PET Jérôme Lapuyade‐Lahorgue, Dimitris Visvikis, Olivier Pradier, Medical Physics	2015	20
A Quantitative Comparison between Shannon and Tsallis–Havrda–Charvat Entropies Applied to Cancer Outcome Prediction Thibaud Brochet, Jérôme Lapuyade‐Lahorgue, Alexandre Huat, Entropy Convolutional Neural NetworkEngineeringMachine LearningPrognosisBiomedical Signal Analysis	2022	20
A framework based on hidden Markov trees for multimodal <scp>PET</scp>/<scp>CT</scp> image co‐segmentation Houda Hanzouli‐Ben Salah, Jérôme Lapuyade‐Lahorgue, Julien Bert, Medical Physics	2017	12

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