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Matthew Hodgman

Showing results (1-10 of 6) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart DiseaseMatthew Hodgman, Emily Wittrup, Kayvan Najarian
Frontiers in Medicine|March 5, 2026
Clinical problem selection for machine learning-based clinical decision support in the intensive care unit: complexity, actionability, and the way forwardAnirudh Vinnakota, Matthew Hodgman, Daniel Ehrmann
IEEE Journal of Biomedical and Health Informatics|March 14, 2025
EvolveFNN: An interpretable framework for early detection using longitudinal electronic health record dataYufeng Zhang, Emily Wittrup, Matthew Hodgman, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial InfarctionMatthew Hodgman, Cristian Minoccheri, Michael Mathis, et al.
BMC Medical Imaging|December 26, 2025
LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentationCristian Minoccheri, Matthew Hodgman, Haoyuan Ma, et al.
F&S Reports|October 10, 2022
Effect of chemotherapy on the uterus of young adult cancer survivorsDeepika Garg, Matthew Hodgman, Sydney Reil, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Learning Physiological Mechanisms that Predict Adverse Cardiovascular Events in Intensive Care Patients with Chronic Heart DiseaseMatthew Hodgman, Emily Wittrup, Kayvan Najarian
Frontiers in Medicine|March 5, 2026
Clinical problem selection for machine learning-based clinical decision support in the intensive care unit: complexity, actionability, and the way forwardAnirudh Vinnakota, Matthew Hodgman, Daniel Ehrmann
IEEE Journal of Biomedical and Health Informatics|March 14, 2025
EvolveFNN: An interpretable framework for early detection using longitudinal electronic health record dataYufeng Zhang, Emily Wittrup, Matthew Hodgman, et al.
Diagnostics (Basel, Switzerland)|August 29, 2024
A Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial InfarctionMatthew Hodgman, Cristian Minoccheri, Michael Mathis, et al.
BMC Medical Imaging|December 26, 2025
LoRA-based methods on Unet for transfer learning in aneurysmal subarachnoid hematoma segmentationCristian Minoccheri, Matthew Hodgman, Haoyuan Ma, et al.
F&S Reports|October 10, 2022
Effect of chemotherapy on the uterus of young adult cancer survivorsDeepika Garg, Matthew Hodgman, Sydney Reil, et al.
Pageof 1