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Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning., , , , , , , , , и 1 other автор(ы). CoRR, (2018)Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions., , , , , , , , , и . DeCaF/FAIR@MICCAI, том 13573 из Lecture Notes in Computer Science, стр. 168-177. Springer, (2022)Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection., , , , , , , , и . MICCAI (1), том 11070 из Lecture Notes in Computer Science, стр. 250-258. Springer, (2018)Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR., , , , , и . STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 84-92. Springer, (2021)Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation., , , , , , и . MICCAI (3), том 12903 из Lecture Notes in Computer Science, стр. 413-423. Springer, (2021)High-quality segmentation of low quality cardiac MR images using k-space artefact correction., , , , , , , , и . MIDL, том 102 из Proceedings of Machine Learning Research, стр. 380-389. PMLR, (2019)AI and Machine Learning: The Basics., , , и . AI and Big Data in Cardiology, Springer International Publishing, (2023)The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images., , , , , , , и . STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 57-65. Springer, (2021)Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data., , , , , , , , , и 1 other автор(ы). STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 12-20. Springer, (2021)Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation., , , , , , , , и . IEEE Trans. Medical Imaging, 39 (12): 4001-4010 (2020)