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Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.

, , , , , , and . STACOM@MICCAI, volume 12009 of Lecture Notes in Computer Science, page 22-30. Springer, (2019)

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MRI-TRUS Image Synthesis with Application to Image-Guided Prostate Intervention., , , , , and . SASHIMI@MICCAI, volume 9968 of Lecture Notes in Computer Science, page 157-166. (2016)Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning., , , , , , , , , and 1 other author(s). Medical Image Anal., (2019)Explainable Image Quality Assessment for Medical Imaging., , , and . CoRR, (2023)dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance., , , , , , , and . CoRR, (2019)A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis., , , , , , , , , and 3 other author(s). CoRR, (2022)Game Character Generation with Generative Adversarial Networks., and . SIU, page 1-4. IEEE, (2022)Artifact Detection in Cardiac MRI Data by Deep Learning Methods., , and . SIU, page 1-4. IEEE, (2021)Explainable Image Quality Analysis of Chest X-Rays., and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 567-580. PMLR, (2021)Diagnosing Knee Injuries from MRI with Transformer Based Deep Learning., and . PRIME@MICCAI, volume 13564 of Lecture Notes in Computer Science, page 71-78. Springer, (2022)Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation., , , , , , , , and . IEEE Trans. Medical Imaging, 39 (12): 4001-4010 (2020)