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La Revue Du Praticien
|
January 16, 2014
[Current applications of PET/CT]
Michaël Soussan, Gabriel Pop, Véronique Eder
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
August 22, 2015
Tumor Texture Analysis in PET: Where Do We Stand?
Irène Buvat, Fanny Orlhac, Michaël Soussan
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
October 19, 2016
Understanding Changes in Tumor Texture Indices in PET: A Comparison Between Visual Assessment and Index Values in Simulated and Patient Data
Fanny Orlhac, Christophe Nioche, Michaël Soussan, et al.
Clinical Nuclear Medicine
|
May 27, 2020
FDG PET/CT in a Patient With Mantle Cell Lymphoma and COVID-19: Typical Findings
Margot Playe, Justine Siavellis, Thorsten Braun, et al.
Plos One
|
December 17, 2015
18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer
Fanny Orlhac, Michaël Soussan, Kader Chouahnia, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
June 5, 2016
Multiscale Texture Analysis: From 18F-FDG PET Images to Histologic Images
Fanny Orlhac, Benoit Thézé, Michaël Soussan, et al.
AJR. American Journal of Roentgenology
|
August 24, 2007
Fat-fluid levels in renal caliceal cavities: a CT sign of lipolysis due to urine extravasation after kidney rupture
Michaël Soussan, Isabelle Boulay-Coletta, Vincent Molinié, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
May 31, 2022
Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
David Wallis, Michaël Soussan, Maxime Lacroix, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
September 14, 2021
An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
David Wallis, Michaël Soussan, Maxime Lacroix, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
February 20, 2014
Tumor texture analysis in 18F-FDG PET: relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis
Fanny Orlhac, Michaël Soussan, Jacques-Antoine Maisonobe, et al.
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Search research articles
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Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
La Revue Du Praticien
|
January 16, 2014
[Current applications of PET/CT]
Michaël Soussan, Gabriel Pop, Véronique Eder
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
August 22, 2015
Tumor Texture Analysis in PET: Where Do We Stand?
Irène Buvat, Fanny Orlhac, Michaël Soussan
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
October 19, 2016
Understanding Changes in Tumor Texture Indices in PET: A Comparison Between Visual Assessment and Index Values in Simulated and Patient Data
Fanny Orlhac, Christophe Nioche, Michaël Soussan, et al.
Clinical Nuclear Medicine
|
May 27, 2020
FDG PET/CT in a Patient With Mantle Cell Lymphoma and COVID-19: Typical Findings
Margot Playe, Justine Siavellis, Thorsten Braun, et al.
Plos One
|
December 17, 2015
18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer
Fanny Orlhac, Michaël Soussan, Kader Chouahnia, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
June 5, 2016
Multiscale Texture Analysis: From 18F-FDG PET Images to Histologic Images
Fanny Orlhac, Benoit Thézé, Michaël Soussan, et al.
AJR. American Journal of Roentgenology
|
August 24, 2007
Fat-fluid levels in renal caliceal cavities: a CT sign of lipolysis due to urine extravasation after kidney rupture
Michaël Soussan, Isabelle Boulay-Coletta, Vincent Molinié, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
May 31, 2022
Correction to: An [18F]FDG‑PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
David Wallis, Michaël Soussan, Maxime Lacroix, et al.
European Journal of Nuclear Medicine and Molecular Imaging
|
September 14, 2021
An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
David Wallis, Michaël Soussan, Maxime Lacroix, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|
February 20, 2014
Tumor texture analysis in 18F-FDG PET: relationships between texture parameters, histogram indices, standardized uptake values, metabolic volumes, and total lesion glycolysis
Fanny Orlhac, Michaël Soussan, Jacques-Antoine Maisonobe, et al.
Page
of 2