Author of the publication

Deploying deep learning approaches to left ventricular non-compaction measurement.

, , , and . J. Supercomput., 77 (9): 10138-10151 (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Expanding the deep-learning model to diagnosis LVNC: limitations and trade-offs., , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., (December 2024)A Training Engine for Automatic Quantification of Left Ventricular Trabeculation from Cardiac MRI., , , and . ICCS, volume 80 of Procedia Computer Science, page 2246-2250. Elsevier, (2016)A Software Tool for the Automatic Quantification of the Left Ventricle Myocardium Hyper-trabeculation Degree., , , , and . ICCS, volume 51 of Procedia Computer Science, page 610-619. Elsevier, (2015)Expanding the deep-learning model to diagnosis LVNC: Limitations and trade-offs., , , , and . CoRR, (2023)Deploying deep learning approaches to left ventricular non-compaction measurement., , , and . J. Supercomput., 77 (9): 10138-10151 (2021)A self-optimized software tool for quantifying the degree of left ventricle hyper-trabeculation., , , and . J. Supercomput., 75 (3): 1625-1640 (2019)Deep learning approach to left ventricular non-compaction measurement., , , and . CoRR, (2020)A highly accurate method for quantifying LVNC cardiomyophaty., , , and . AMIA, AMIA, (2020)Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach., , , , and . Comput. Methods Programs Biomed., (2022)