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Medical Image Analysis
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December 19, 2024
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans
Ray 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 Scans
Ray Zirui Zhang, Ivan Ezhov, Michal Balcerak, et al.
Nature Communications
|
July 2, 2025
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss
Michal Balcerak, Jonas Weidner, Petr Karnakov, et al.
Arxiv
|
March 18, 2024
A Learnable Prior Improves Inverse Tumor Growth Modeling
Jonas Weidner, Ivan Ezhov, Michal Balcerak, et al.
IEEE Transactions on Medical Imaging
|
November 8, 2024
A Learnable Prior Improves Inverse Tumor Growth Modeling
Jonas Weidner, Ivan Ezhov, Michal Balcerak, et al.
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Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Medical Image Analysis
|
December 19, 2024
Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans
Ray 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 Scans
Ray Zirui Zhang, Ivan Ezhov, Michal Balcerak, et al.
Nature Communications
|
July 2, 2025
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss
Michal Balcerak, Jonas Weidner, Petr Karnakov, et al.
Arxiv
|
March 18, 2024
A Learnable Prior Improves Inverse Tumor Growth Modeling
Jonas Weidner, Ivan Ezhov, Michal Balcerak, et al.
IEEE Transactions on Medical Imaging
|
November 8, 2024
A Learnable Prior Improves Inverse Tumor Growth Modeling
Jonas Weidner, Ivan Ezhov, Michal Balcerak, et al.
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of 1