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Ivan Ezhov

Showing results (1-10 of 35) with videos related to

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Journal of Biomedical Optics|December 3, 2024
Digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mappingCharly Caredda, Frédéric Lange, Luca Giannoni, et al.
Medical Image Analysis|December 19, 2024
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scansRay Zirui Zhang, Ivan Ezhov, Michal Balcerak, et al.
Arxiv|December 11, 2023
Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal ScansRay Zirui Zhang, Ivan Ezhov, Michal Balcerak, 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
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy PlanningFernando Navarro, Guido Sasahara, Suprosanna Shit, et al.
Frontiers in Neuroscience|May 16, 2020
BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific PracticeFlorian Kofler, Christoph Berger, Diana Waldmannstetter, et al.
Computers in Biology and Medicine|January 9, 2025
Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral discMatan Atad, Gabriel Gruber, Marx Ribeiro, 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 Communications|July 2, 2025
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete lossMichal Balcerak, Jonas Weidner, Petr Karnakov, 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.
Pageof 4

Showing results (1-10 of 35) with videos related to

Sort By:
Pageof 4
Journal of Biomedical Optics|December 3, 2024
Digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mappingCharly Caredda, Frédéric Lange, Luca Giannoni, et al.
Medical Image Analysis|December 19, 2024
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scansRay Zirui Zhang, Ivan Ezhov, Michal Balcerak, et al.
Arxiv|December 11, 2023
Personalized Predictions of Glioblastoma Infiltration: Mathematical Models, Physics-Informed Neural Networks and Multimodal ScansRay Zirui Zhang, Ivan Ezhov, Michal Balcerak, 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
A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy PlanningFernando Navarro, Guido Sasahara, Suprosanna Shit, et al.
Frontiers in Neuroscience|May 16, 2020
BraTS Toolkit: Translating BraTS Brain Tumor Segmentation Algorithms Into Clinical and Scientific PracticeFlorian Kofler, Christoph Berger, Diana Waldmannstetter, et al.
Computers in Biology and Medicine|January 9, 2025
Neural network surrogate and projected gradient descent for fast and reliable finite element model calibration: A case study on an intervertebral discMatan Atad, Gabriel Gruber, Marx Ribeiro, 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 Communications|July 2, 2025
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete lossMichal Balcerak, Jonas Weidner, Petr Karnakov, 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.
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