Michail Mamalakis
Orcid: 0000-0002-4276-4119
According to our database1,
Michail Mamalakis
authored at least 8 papers
between 2016 and 2023.
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Bibliography
2023
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar.
Artif. Intell. Medicine, September, 2023
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge.
CoRR, 2023
A novel framework employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.
CoRR, 2023
A 3D explainability framework to uncover learning patterns and crucial sub-regions in variable sulci recognition.
CoRR, 2023
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle.
Comput. Medical Imaging Graph., 2023
2021
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.
Comput. Medical Imaging Graph., 2021
MA-SOCRATIS: An automatic pipeline for robust segmentation of the left ventricle and scar.
Comput. Medical Imaging Graph., 2021
2016
A Personalised Monitoring and Recommendation Framework for Kinetic Dysfunctions: The Trendelenburg Gait.
Proceedings of the 20th Pan-Hellenic Conference on Informatics, 2016