Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network - researchr publication authors

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Archontis Giannakidis, Konstantinos Kamnitsas, Veronica Spadotto, Jennifer Keegan, Gillian Smith, Ben Glocker, Daniel Rueckert, Sabine Ernst, Michael A. Gatzoulis, Dudley J. Pennell, Sonya Babu-Narayan, David N. Firmin. Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network. In Kokou Yétongnon, Albert Dipanda, Richard Chbeir, Giuseppe De Pietro, Luigi Gallo, editors, 12th International Conference on Signal-Image Technology & Internet-Based Systems, SITIS 2016, Naples, Italy, November 28 - December 1, 2016. pages 42-46, IEEE Computer Society, 2016. [doi]

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