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Suprosanna Shit

Showing results (1-10 of 25) with videos related to

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Medical Image Analysis|August 17, 2025
Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyondYundi Zhang, Paul Hager, Che Liu, et al.
Frontiers in Artificial Intelligence|August 29, 2022
SRflow: Deep learning based super-resolution of 4D-flow MRI dataSuprosanna Shit, Judith Zimmermann, Ivan Ezhov, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging PerspectiveFernando Navarro, Christopher Watanabe, Suprosanna Shit, et al.
Medical Image Analysis|January 10, 2025
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imagingÖzgün Turgut, Philip Müller, Paul Hager, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy PlanningFernando Navarro, Guido Sasahara, Suprosanna Shit, et al.
Human Brain Mapping|September 14, 2021
Automated claustrum segmentation in human brain MRI using deep learningHongwei Li, Aurore Menegaux, Benita Schmitz-Koep, et al.
Journal of Biomedical Optics|September 25, 2024
Learnable real-time inference of molecular composition from diffuse spectroscopy of brain tissueIvan Ezhov, Kevin Scibilia, Luca Giannoni, et al.
Nature Methods|March 13, 2020
Machine learning analysis of whole mouse brain vasculatureMihail Ivilinov Todorov, Johannes Christian Paetzold, Oliver Schoppe, et al.
IEEE Transactions on Medical Imaging|December 20, 2021
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor ModelsIvan Ezhov, Tudor Mot, Suprosanna Shit, et al.
Insights Into Imaging|July 16, 2023
AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosisSarah Schlaeger, Suprosanna Shit, Paul Eichinger, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Medical Image Analysis|August 17, 2025
Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyondYundi Zhang, Paul Hager, Che Liu, et al.
Frontiers in Artificial Intelligence|August 29, 2022
SRflow: Deep learning based super-resolution of 4D-flow MRI dataSuprosanna Shit, Judith Zimmermann, Ivan Ezhov, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging PerspectiveFernando Navarro, Christopher Watanabe, Suprosanna Shit, et al.
Medical Image Analysis|January 10, 2025
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imagingÖzgün Turgut, Philip Müller, Paul Hager, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy PlanningFernando Navarro, Guido Sasahara, Suprosanna Shit, et al.
Human Brain Mapping|September 14, 2021
Automated claustrum segmentation in human brain MRI using deep learningHongwei Li, Aurore Menegaux, Benita Schmitz-Koep, et al.
Journal of Biomedical Optics|September 25, 2024
Learnable real-time inference of molecular composition from diffuse spectroscopy of brain tissueIvan Ezhov, Kevin Scibilia, Luca Giannoni, et al.
Nature Methods|March 13, 2020
Machine learning analysis of whole mouse brain vasculatureMihail Ivilinov Todorov, Johannes Christian Paetzold, Oliver Schoppe, et al.
IEEE Transactions on Medical Imaging|December 20, 2021
Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor ModelsIvan Ezhov, Tudor Mot, Suprosanna Shit, et al.
Insights Into Imaging|July 16, 2023
AI-based detection of contrast-enhancing MRI lesions in patients with multiple sclerosisSarah Schlaeger, Suprosanna Shit, Paul Eichinger, et al.
Pageof 3