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Jérôme Lapuyade‐Lahorgue

Normandie Université(FR)

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55

Papers

639

Citations

11

h-index

13

i10-index

Jérôme Lapuyade‐Lahorgue is an academic researcher from Normandie Université. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Medical Imaging Techniques and Applications & Medical Image Segmentation Techniques. The author has an h-index of 11, co-authored 47 publications.

ORCID: 0000-0002-2638-6795

Research Topics

Radiomics and Machine Learning in Medical Imaging Medical Imaging Techniques and Applications Medical Image Segmentation Techniques AI in cancer detection Bayesian Methods and Mixture Models

Papers by this author

works

Generation of pseudo-CT from a single MRI for PET/MR attenuation correction purposes

2014 · EJNMMI Physics · 2 citations

https://doi.org/10.1186/2197-7364-1-s1-a74

Florian Monnier Hadi Fayad Julien Bert Jérôme Lapuyade‐Lahorgue

Tumor segmentation by fusion of MRI images using copula based statistical methods.

2016 · HAL (Le Centre pour la Communication Scientifique Directe) · 0 citations

Jérôme Lapuyade‐Lahorgue Su Ruan Hua Li Pierre Véra

Unsupervised segmentation of non-stationary hidden Markov chains with copulas

2008 · SPIRE - Sciences Po Institutional REpository · 0 citations

Jérôme Lapuyade‐Lahorgue Wojciech Pieczynski

Research topics

topics

Radiomics and Machine Learning in Medical Imaging

Medical Imaging Techniques and Applications

Medical Image Segmentation Techniques

AI in cancer detection

Bayesian Methods and Mixture Models

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