Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Benjamin Leporq

8PUBLICATIONS
11CO-AUTHORS
Predictive and prognostic markersMedical infection agents (incl. prions)Cancer therapy (excl. chemotherapy and radiation therapy)Medical biochemistry - lipidsNeonatology
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (8)

Sort by Publication Date:
|Jul 29, 2023
Characterization of Breast Tumors from MR Images Using Radiomics and Machine Learning Approaches.

Khuram Faraz, Grégoire Dauce, Amine Bouhamama

|May 27, 2023
Diffusion-Weighted MRI of the Liver in Patients With Chronic Liver Disease: A Comparative Study Between Different Fitting Approaches and Diffusion Models.

Jiqing Huang, Benjamin Leporq, Valérie Hervieu

|Sep 30, 2022
Prediction of Histologic Neoadjuvant Chemotherapy Response in Osteosarcoma Using Pretherapeutic MRI Radiomics.

Amine Bouhamama, Benjamin Leporq, Wassef Khaled

|Jul 13, 2021
Multicontrast MRI-based radiomics for the prediction of pathological complete response to neoadjuvant chemotherapy in patients with early triple negative breast cancer.

Angeline Nemeth, Pierre Chaudet, Benjamin Leporq

|Oct 29, 2020
MRI-based radiomics to predict lipomatous soft tissue tumors malignancy: a pilot study.

Benjamin Leporq, Amine Bouhamama, Frank Pilleul

|Jul 25, 2018
Comparison of MRI-derived vs. traditional estimations of fatty acid composition from MR spectroscopy signals.

Angeline Nemeth, Bérénice Segrestin, Benjamin Leporq

Pageof 2

Frequent Collaborators

2 joint publications

Olivier Beuf

2 joint publications

Hélène Ratiney

1 joint publications

Simon A Lambert

1 joint publications

Angeline Nemeth

1 joint publications

Bérénice Segrestin

1 joint publications

Kevin Seyssel

1 joint publications

Martine Laville

1 joint publications

Amine Bouhamama

1 joint publications

Jiqing Huang

1 joint publications

Hajime Sasaki

Frequent Collaborators

2 joint publications

Olivier Beuf

2 joint publications

Hélène Ratiney

1 joint publications

Simon A Lambert

1 joint publications

Angeline Nemeth

Top Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on : Aug 16, 2020

6.9K
A 3D Quantification Technique for Liver Fat Fraction Distribution Analysis Using Dixon Magnetic Resonance Imaging
05:37

A 3D Quantification Technique for Liver Fat Fraction Distribution Analysis Using Dixon Magnetic Resonance Imaging

Published on : Oct 20, 2023

1.4K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on : Oct 10, 2018

8.3K
See more related videos

Top Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on : Aug 16, 2020

6.9K
A 3D Quantification Technique for Liver Fat Fraction Distribution Analysis Using Dixon Magnetic Resonance Imaging
05:37

A 3D Quantification Technique for Liver Fat Fraction Distribution Analysis Using Dixon Magnetic Resonance Imaging

Published on : Oct 20, 2023

1.4K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on : Oct 10, 2018

8.3K
See more related videos