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A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.

, , , , , , , , , , , , and . IEEE Trans. Biomed. Eng., 71 (3): 855-865 (March 2024)

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Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images., , , , , , , , , and 2 other author(s). Medical Image Anal., (August 2023)Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR., , , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 84-92. Springer, (2021)Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation., , , , , , and . MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 413-423. Springer, (2021)High-quality segmentation of low quality cardiac MR images using k-space artefact correction., , , , , , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 380-389. PMLR, (2019)Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation., , , , , , , , and . CoRR, (2019)Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis., , , , , , , , , and 2 other author(s). CoRR, (2022)Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning., , , , , , , , , and 1 other author(s). CoRR, (2018)Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images., , , , , , , , , and 2 other author(s). CoRR, (2023)Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space., , , , , , , , , and . CoRR, (2019)Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions., , , , , , , , , and . DeCaF/FAIR@MICCAI, volume 13573 of Lecture Notes in Computer Science, page 168-177. Springer, (2022)