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

Vincent Andrearczyk

Showing results (11-20 of 23) with videos related to

Pageof 3
Sort By:
Scientific Reports|December 31, 2024
Automatic detection and multi-component segmentation of brain metastases in longitudinal MRIVincent Andrearczyk, Luis Schiappacasse, Daniel Abler, et al.
Neuro-Oncology Advances|February 3, 2025
The value of AI for assessing longitudinal brain metastases treatment responseVincent Andrearczyk, Luis Schiappacasse, Matthieu Raccaud, et al.
Clinical and Translational Radiation Oncology|March 4, 2022
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer studyPierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, et al.
Scientific Reports|April 26, 2024
Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [<sup>82</sup>Rb] PET for MACE predictionSacha Bors, Daniel Abler, Matthieu Dietz, et al.
Medical Image Analysis|September 24, 2023
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challengeVincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Medical Physics|March 18, 2026
Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multicentric anthropomorphic phantom studyMaría Martín Asiain, Mohammadreza Amirian, Oscar Jimenez Del Toro, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|March 7, 2026
A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosisFederico Spagnolo, Pedro M Gordaliza, Aarushi Bhardwaj, et al.
Artificial Intelligence Review|September 12, 2022
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciencesMara Graziani, Lidia Dutkiewicz, Davide Calvaresi, et al.
Medical Image Analysis|January 11, 2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challengeValentin Oreiller, Vincent Andrearczyk, Mario Jreige, et al.
Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3Rd : 2022 : Singapor|May 17, 2023
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CTVincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Scientific Reports|December 31, 2024
Automatic detection and multi-component segmentation of brain metastases in longitudinal MRIVincent Andrearczyk, Luis Schiappacasse, Daniel Abler, et al.
Neuro-Oncology Advances|February 3, 2025
The value of AI for assessing longitudinal brain metastases treatment responseVincent Andrearczyk, Luis Schiappacasse, Matthieu Raccaud, et al.
Clinical and Translational Radiation Oncology|March 4, 2022
Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer studyPierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, et al.
Scientific Reports|April 26, 2024
Comparing various AI approaches to traditional quantitative assessment of the myocardial perfusion in [<sup>82</sup>Rb] PET for MACE predictionSacha Bors, Daniel Abler, Matthieu Dietz, et al.
Medical Image Analysis|September 24, 2023
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challengeVincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, et al.
Medical Physics|March 18, 2026
Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multicentric anthropomorphic phantom studyMaría Martín Asiain, Mohammadreza Amirian, Oscar Jimenez Del Toro, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|March 7, 2026
A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosisFederico Spagnolo, Pedro M Gordaliza, Aarushi Bhardwaj, et al.
Artificial Intelligence Review|September 12, 2022
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciencesMara Graziani, Lidia Dutkiewicz, Davide Calvaresi, et al.
Medical Image Analysis|January 11, 2022
Head and neck tumor segmentation in PET/CT: The HECKTOR challengeValentin Oreiller, Vincent Andrearczyk, Mario Jreige, et al.
Head and Neck Tumor Segmentation and Outcome Prediction : Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Head and Neck Tumor Segmentation Challenge (3Rd : 2022 : Singapor|May 17, 2023
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CTVincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, et al.
Pageof 3