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Michela Gravina

Showing results (1-10 of 9) with videos related to

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Journal of Imaging|December 22, 2022
A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation IdentificationSalvatore Capuozzo, Michela Gravina, Gianluca Gatta, et al.
Artificial Intelligence in Medicine|March 10, 2024
Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal dataMichela Gravina, Angel García-Pedrero, Consuelo Gonzalo-Martín, et al.
IEEE Journal of Biomedical and Health Informatics|August 14, 2024
A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI DatasetsMichela Gravina, Massimo Maddaluno, Stefano Marrone, et al.
Cancers|October 14, 2022
CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRIDomiziana Santucci, Eliodoro Faiella, Michela Gravina, et al.
Cancers|January 8, 2023
3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot StudyAlessandro Calabrese, Domiziana Santucci, Michela Gravina, et al.
Frontiers in Artificial Intelligence|September 13, 2024
Automating parasite egg detection: insights from the first AI-KFM challengeSalvatore Capuozzo, Stefano Marrone, Michela Gravina, et al.
European Radiology|March 14, 2022
Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approachGiuseppe Pontillo, Simone Penna, Sirio Cocozza, et al.
Human Brain Mapping|March 23, 2024
Assessing brain involvement in Fabry disease with deep learning and the brain-age paradigmAlfredo Montella, Mario Tranfa, Alessandra Scaravilli, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 LesionsMichela Gravina, Lorenzo Spirito, Giuseppe Celentano, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Journal of Imaging|December 22, 2022
A Multimodal Knowledge-Based Deep Learning Approach for MGMT Promoter Methylation IdentificationSalvatore Capuozzo, Michela Gravina, Gianluca Gatta, et al.
Artificial Intelligence in Medicine|March 10, 2024
Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal dataMichela Gravina, Angel García-Pedrero, Consuelo Gonzalo-Martín, et al.
IEEE Journal of Biomedical and Health Informatics|August 14, 2024
A Physiological-Informed Generative Model for Improving Breast Lesion Classification in Small DCE-MRI DatasetsMichela Gravina, Massimo Maddaluno, Stefano Marrone, et al.
Cancers|October 14, 2022
CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRIDomiziana Santucci, Eliodoro Faiella, Michela Gravina, et al.
Cancers|January 8, 2023
3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot StudyAlessandro Calabrese, Domiziana Santucci, Michela Gravina, et al.
Frontiers in Artificial Intelligence|September 13, 2024
Automating parasite egg detection: insights from the first AI-KFM challengeSalvatore Capuozzo, Stefano Marrone, Michela Gravina, et al.
European Radiology|March 14, 2022
Stratification of multiple sclerosis patients using unsupervised machine learning: a single-visit MRI-driven approachGiuseppe Pontillo, Simone Penna, Sirio Cocozza, et al.
Human Brain Mapping|March 23, 2024
Assessing brain involvement in Fabry disease with deep learning and the brain-age paradigmAlfredo Montella, Mario Tranfa, Alessandra Scaravilli, et al.
Diagnostics (Basel, Switzerland)|July 27, 2022
Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 LesionsMichela Gravina, Lorenzo Spirito, Giuseppe Celentano, et al.
Pageof 1