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Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest.

, , , , and . CoRR, (2024)

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Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers., , , , , and . MIUA, volume 13413 of Lecture Notes in Computer Science, page 13-27. Springer, (2022)Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data., , , , and . MIUA, volume 12722 of Lecture Notes in Computer Science, page 547-558. Springer, (2021)Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection., , , , , and . CinC, page 1-4. IEEE, (2022)Multimodal Deep Learning Approach to Predicting Neurological Recovery From Coma After Cardiac Arrest., , , , and . CinC, page 1-4. IEEE, (2023)Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection., , , , , and . CoRR, (2023)Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest., , , , and . CoRR, (2024)Review of multimodal machine learning approaches in healthcare., , , , and . CoRR, (2024)Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?, , and . CoRR, (2024)Explaining Chest X-Ray Pathologies in Natural Language., , , , , and . MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 701-713. Springer, (2022)