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

Filters

Delphine Ribes

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Medical Image Analysis|May 31, 2011
On the convergence of EM-like algorithms for image segmentation using Markov random fieldsAlexis Roche, Delphine Ribes, Meritxell Bach-Cuadra, et al.
PLOS Digital Health|September 15, 2023
Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at homeMargherita Motta, Emily Groves, Andrea Schneider, et al.
Plos One|December 3, 2010
JULIDE: a software tool for 3D reconstruction and statistical analysis of autoradiographic mouse brain sectionsDelphine Ribes, Julia Parafita, Rémi Charrier, et al.
Investigative Radiology|May 1, 2012
MP2RAGE multiple sclerosis magnetic resonance imaging at 3 TTobias Kober, Cristina Granziera, Delphine Ribes, et al.
Langenbeck'S Archives of Surgery|April 29, 2016
Intraoperative image-guided navigation system: development and applicability in 65 patients undergoing liver surgeryVanessa M Banz, Philip C Müller, Pascale Tinguely, et al.
Neuroimage. Clinical|November 28, 2014
An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's diseaseDaniel Schmitter, Alexis Roche, Bénédicte Maréchal, et al.
Arxiv|July 30, 2025
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction ErrorsNataliia Molchanova, Pedro M Gordaliza, Alessandro Cagol, et al.
Neuroimage. Clinical|June 1, 2026
A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosisNataliia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Medical Image Analysis|May 31, 2011
On the convergence of EM-like algorithms for image segmentation using Markov random fieldsAlexis Roche, Delphine Ribes, Meritxell Bach-Cuadra, et al.
PLOS Digital Health|September 15, 2023
Designing self-tracking experiences: A qualitative study of the perceptions of barriers and facilitators to adopting digital health technology for automatic urine analysis at homeMargherita Motta, Emily Groves, Andrea Schneider, et al.
Plos One|December 3, 2010
JULIDE: a software tool for 3D reconstruction and statistical analysis of autoradiographic mouse brain sectionsDelphine Ribes, Julia Parafita, Rémi Charrier, et al.
Investigative Radiology|May 1, 2012
MP2RAGE multiple sclerosis magnetic resonance imaging at 3 TTobias Kober, Cristina Granziera, Delphine Ribes, et al.
Langenbeck'S Archives of Surgery|April 29, 2016
Intraoperative image-guided navigation system: development and applicability in 65 patients undergoing liver surgeryVanessa M Banz, Philip C Müller, Pascale Tinguely, et al.
Neuroimage. Clinical|November 28, 2014
An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's diseaseDaniel Schmitter, Alexis Roche, Bénédicte Maréchal, et al.
Arxiv|July 30, 2025
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction ErrorsNataliia Molchanova, Pedro M Gordaliza, Alessandro Cagol, et al.
Neuroimage. Clinical|June 1, 2026
A comparative study of deep learning for cortical lesion MRI segmentation with explainability analysis in multiple sclerosisNataliia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, et al.
Pageof 1