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

Leonardo Rundo

Showing results (41-50 of 66) with videos related to

Pageof 7
Sort By:
Neuroradiology|January 4, 2021
CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome studyFulvio Zaccagna, Balaji Ganeshan, Marcello Arca, et al.
Diagnostics (Basel, Switzerland)|September 23, 2022
Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRIChristian di Noia, James T Grist, Frank Riemer, et al.
La Radiologia Medica|May 9, 2024
Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter studyTommaso Vincenzo Bartolotta, Carmelo Militello, Francesco Prinzi, et al.
European Radiology|February 7, 2023
Time series radiomics for the prediction of prostate cancer progression in patients on active surveillanceNikita Sushentsev, Leonardo Rundo, Luis Abrego, et al.
Computers in Biology and Medicine|September 16, 2019
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scansCarmelo Militello, Leonardo Rundo, Patrizia Toia, et al.
Computer Methods and Programs in Biomedicine|May 13, 2017
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planningLeonardo Rundo, Alessandro Stefano, Carmelo Militello, et al.
Computer Methods and Programs in Biomedicine|July 21, 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learningMaureen van Eijnatten, Leonardo Rundo, K Joost Batenburg, et al.
Scientific Reports|September 27, 2023
Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosisCristiana Fiscone, Leonardo Rundo, Alessandra Lugaresi, et al.
Scientific Data|June 4, 2024
Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysisCristiana Fiscone, Giovanni Sighinolfi, David Neil Manners, et al.
Insights Into Imaging|August 18, 2020
Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancerPaula Martin-Gonzalez, Mireia Crispin-Ortuzar, Leonardo Rundo, et al.
Pageof 7

Showing results (41-50 of 66) with videos related to

Sort By:
Pageof 7
Neuroradiology|January 4, 2021
CT texture-based radiomics analysis of carotid arteries identifies vulnerable patients: a preliminary outcome studyFulvio Zaccagna, Balaji Ganeshan, Marcello Arca, et al.
Diagnostics (Basel, Switzerland)|September 23, 2022
Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRIChristian di Noia, James T Grist, Frank Riemer, et al.
La Radiologia Medica|May 9, 2024
Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter studyTommaso Vincenzo Bartolotta, Carmelo Militello, Francesco Prinzi, et al.
European Radiology|February 7, 2023
Time series radiomics for the prediction of prostate cancer progression in patients on active surveillanceNikita Sushentsev, Leonardo Rundo, Luis Abrego, et al.
Computers in Biology and Medicine|September 16, 2019
A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scansCarmelo Militello, Leonardo Rundo, Patrizia Toia, et al.
Computer Methods and Programs in Biomedicine|May 13, 2017
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planningLeonardo Rundo, Alessandro Stefano, Carmelo Militello, et al.
Computer Methods and Programs in Biomedicine|July 21, 2021
3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learningMaureen van Eijnatten, Leonardo Rundo, K Joost Batenburg, et al.
Scientific Reports|September 27, 2023
Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosisCristiana Fiscone, Leonardo Rundo, Alessandra Lugaresi, et al.
Scientific Data|June 4, 2024
Multiparametric MRI dataset for susceptibility-based radiomic feature extraction and analysisCristiana Fiscone, Giovanni Sighinolfi, David Neil Manners, et al.
Insights Into Imaging|August 18, 2020
Integrative radiogenomics for virtual biopsy and treatment monitoring in ovarian cancerPaula Martin-Gonzalez, Mireia Crispin-Ortuzar, Leonardo Rundo, et al.
Pageof 7