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

Alexandre Carré

Showing results (1-10 of 15) with videos related to

Pageof 2
Sort By:
Scientific Reports|July 26, 2022
AutoComBat: a generic method for harmonizing MRI-based radiomic featuresAlexandre Carré, Enzo Battistella, Stephane Niyoteka, et al.
Methods (San Diego, Calif.)|July 23, 2020
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectivesLaurent Dercle, Theophraste Henry, Alexandre Carré, et al.
Scientific Reports|March 15, 2019
The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape featuresElaine Johanna Limkin, Sylvain Reuzé, Alexandre Carré, et al.
Physics in Medicine and Biology|July 22, 2025
GAN-based standardization of MR images: a promising approach for the development of multicentre radiomic modelsStéphane Niyoteka, Rahimeh Rouhi, Pierre-Antoine Laurent, et al.
Journal for Immunotherapy of Cancer|July 6, 2022
Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?Roger Sun, Théophraste Henry, Adrien Laville, et al.
Frontiers in Computational Neuroscience|April 9, 2020
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationThéo Estienne, Marvin Lerousseau, Maria Vakalopoulou, et al.
Frontiers in Oncology|July 30, 2021
Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain MetastasisAlix de Causans, Alexandre Carré, Alexandre Roux, et al.
Physics and Imaging in Radiation Oncology|June 24, 2024
Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancerRahimeh Rouhi, Stéphane Niyoteka, Alexandre Carré, et al.
Journal for Immunotherapy of Cancer|October 28, 2022
Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients treated with anti-PD1 immunotherapyRoger Sun, Marvin Lerousseau, Jade Briend-Diop, et al.
International Journal of Radiation Oncology, Biology, Physics|March 30, 2024
Deep-Learning for Rapid Estimation of the Out-of-Field Dose in External Beam Photon Radiation Therapy - A Proof of ConceptNathan Benzazon, Alexandre Carré, François de Kermenguy, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Scientific Reports|July 26, 2022
AutoComBat: a generic method for harmonizing MRI-based radiomic featuresAlexandre Carré, Enzo Battistella, Stephane Niyoteka, et al.
Methods (San Diego, Calif.)|July 23, 2020
Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectivesLaurent Dercle, Theophraste Henry, Alexandre Carré, et al.
Scientific Reports|March 15, 2019
The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape featuresElaine Johanna Limkin, Sylvain Reuzé, Alexandre Carré, et al.
Physics in Medicine and Biology|July 22, 2025
GAN-based standardization of MR images: a promising approach for the development of multicentre radiomic modelsStéphane Niyoteka, Rahimeh Rouhi, Pierre-Antoine Laurent, et al.
Journal for Immunotherapy of Cancer|July 6, 2022
Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?Roger Sun, Théophraste Henry, Adrien Laville, et al.
Frontiers in Computational Neuroscience|April 9, 2020
Deep Learning-Based Concurrent Brain Registration and Tumor SegmentationThéo Estienne, Marvin Lerousseau, Maria Vakalopoulou, et al.
Frontiers in Oncology|July 30, 2021
Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain MetastasisAlix de Causans, Alexandre Carré, Alexandre Roux, et al.
Physics and Imaging in Radiation Oncology|June 24, 2024
Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancerRahimeh Rouhi, Stéphane Niyoteka, Alexandre Carré, et al.
Journal for Immunotherapy of Cancer|October 28, 2022
Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients treated with anti-PD1 immunotherapyRoger Sun, Marvin Lerousseau, Jade Briend-Diop, et al.
International Journal of Radiation Oncology, Biology, Physics|March 30, 2024
Deep-Learning for Rapid Estimation of the Out-of-Field Dose in External Beam Photon Radiation Therapy - A Proof of ConceptNathan Benzazon, Alexandre Carré, François de Kermenguy, et al.
Pageof 2