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

Maria Vakalopoulou

Showing results (1-10 of 31) with videos related to

Pageof 4
Sort By:
European Journal of Radiology|December 17, 2019
Artificial intelligence applications for thoracic imagingGuillaume Chassagnon, Maria Vakalopoulou, Nikos Paragios, et al.
The European Respiratory Journal|January 28, 2022
Diversity of approaches in artificial intelligence: an opportunity for discoveries in thoracic imagingGuillaume Chassagnon, Alienor Campredon, Maria Vakalopoulou, et al.
IEEE Transactions on Medical Imaging|May 5, 2025
Representation learning in PET scans enhanced by semantic and 3D position specific characteristicsTheodoros P Vagenas, Maria Vakalopoulou, Christos Sachpekidis, et al.
Diagnostic and Interventional Imaging|October 23, 2021
Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?Trieu-Nghi Hoang-Thi, Maria Vakalopoulou, Stergios Christodoulidis, et al.
European Radiology|August 15, 2018
Demystification of AI-driven medical image interpretation: past, present and futurePeter Savadjiev, Jaron Chong, Anthony Dohan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving Endoscopy Lesion Classification Using Self-Supervised Deep LearningInes Lopes, Maria Vakalopoulou, Enzo Ferrante, et al.
Plos Computational Biology|June 17, 2025
Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncologyHakim Benkirane, Maria Vakalopoulou, David Planchard, et al.
Diagnostics (Basel, Switzerland)|October 16, 2025
Beyond Radiomics Alone: Enhancing Prostate Cancer Classification with ADC Ratio in a Multicenter Benchmarking StudyDimitrios Samaras, Georgios Agrotis, Alexandros Vamvakas, et al.
Cancers|December 11, 2022
Assessment of Functional and Nutritional Status and Skeletal Muscle Mass for the Prognosis of Critically Ill Solid Cancer PatientsClara Vigneron, Othmane Laousy, Guillaume Chassagnon, et al.
IEEE Journal of Biomedical and Health Informatics|November 18, 2020
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of LymphocytosisMihir Sahasrabudhe, Pierre Sujobert, Evangelia I Zacharaki, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
European Journal of Radiology|December 17, 2019
Artificial intelligence applications for thoracic imagingGuillaume Chassagnon, Maria Vakalopoulou, Nikos Paragios, et al.
The European Respiratory Journal|January 28, 2022
Diversity of approaches in artificial intelligence: an opportunity for discoveries in thoracic imagingGuillaume Chassagnon, Alienor Campredon, Maria Vakalopoulou, et al.
IEEE Transactions on Medical Imaging|May 5, 2025
Representation learning in PET scans enhanced by semantic and 3D position specific characteristicsTheodoros P Vagenas, Maria Vakalopoulou, Christos Sachpekidis, et al.
Diagnostic and Interventional Imaging|October 23, 2021
Deep learning for lung disease segmentation on CT: Which reconstruction kernel should be used?Trieu-Nghi Hoang-Thi, Maria Vakalopoulou, Stergios Christodoulidis, et al.
European Radiology|August 15, 2018
Demystification of AI-driven medical image interpretation: past, present and futurePeter Savadjiev, Jaron Chong, Anthony Dohan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Improving Endoscopy Lesion Classification Using Self-Supervised Deep LearningInes Lopes, Maria Vakalopoulou, Enzo Ferrante, et al.
Plos Computational Biology|June 17, 2025
Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncologyHakim Benkirane, Maria Vakalopoulou, David Planchard, et al.
Diagnostics (Basel, Switzerland)|October 16, 2025
Beyond Radiomics Alone: Enhancing Prostate Cancer Classification with ADC Ratio in a Multicenter Benchmarking StudyDimitrios Samaras, Georgios Agrotis, Alexandros Vamvakas, et al.
Cancers|December 11, 2022
Assessment of Functional and Nutritional Status and Skeletal Muscle Mass for the Prognosis of Critically Ill Solid Cancer PatientsClara Vigneron, Othmane Laousy, Guillaume Chassagnon, et al.
IEEE Journal of Biomedical and Health Informatics|November 18, 2020
Deep Multi-Instance Learning Using Multi-Modal Data for Diagnosis of LymphocytosisMihir Sahasrabudhe, Pierre Sujobert, Evangelia I Zacharaki, et al.
Pageof 4