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Comparison of Classical Machine Learning & Deep Learning to Characterise Fibrosis & Inflammation Using Quantitative MRI.

, , and . ISBI, page 729-732. IEEE, (2021)

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Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging., , , , , , , , , and 4 other author(s). STACOM@MICCAI, volume 13593 of Lecture Notes in Computer Science, page 101-111. Springer, (2022)Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training., , , , and . ISBI, page 1-5. IEEE, (2023)Towards a Framework for Teaching Debugging., , , , and . ACE, page 79-86. ACM, (2019)Comparison of Classical Machine Learning & Deep Learning to Characterise Fibrosis & Inflammation Using Quantitative MRI., , and . ISBI, page 729-732. IEEE, (2021)Recommendations for a Medical Device Knowledge Base., , , , , and . AMIA, AMIA, (2019)Using semantic inferences to augment standard data definitions., , , , and . AMIA, AMIA, (2020)Implementation of a Pharmacogenomic Interaction Knowledgebase for Clinical Use., , , , and . AMIA, AMIA, (2020)An Instrumented Mouthguard for Real-Time Measurement of Head Kinematics under a Large Range of Sport Specific Accelerations., , , , , , , , and . Sensors, 23 (16): 7068 (August 2023)Use of Biomedical Ontologies to Improve Adverse Event Reporting., , , , and . AMIA, AMIA, (2020)