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Marianne Schell

Showing results (11-20 of 28) with videos related to

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Neuro-Oncology|March 20, 2025
Histopathological and molecular characteristics of IDH-wildtype glioblastoma without contrast enhancement: implications for clinical outcomesMartha Foltyn-Dumitru, Rouzbeh Banan, Marianne Schell, et al.
European Radiology|May 26, 2025
Optimizing MRI sequence classification performance: insights from domain shift analysisMustafa Ahmed Mahmutoglu, Aditya Rastogi, Gianluca Brugnara, et al.
Scientific Reports|March 22, 2026
Performance of a GPU- and time-efficient pseudo-3D network for magnetic resonance image super-resolution and motion artifact reductionHao Li, Jianan Liu, Marianne Schell, et al.
Neuro-Oncology Advances|January 9, 2025
The potential of GPT-4 advanced data analysis for radiomics-based machine learning modelsMartha Foltyn-Dumitru, Aditya Rastogi, Jaeyoung Cho, et al.
Journal of Neuro-Oncology|February 24, 2026
Repeat resection for recurrent glioblastoma - does timing matter?Obada T Alhalabi, Kirill Mironov, Khurshed Nabiev, et al.
Radiology. Artificial Intelligence|October 28, 2025
Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BETMustafa Ahmed Mahmutoglu, Aditya Rastogi, Yeong Chul Yun, et al.
Investigative Radiology|October 13, 2025
Improving Spatial Accuracy of MRI in the Presence of Metal-induced Geometric DistortionsHao Li, Ali C Özen, Mathias Nittka, et al.
European Radiology Experimental|October 9, 2024
Deep learning-based defacing tool for CT angiography: CTA-DEFACEMustafa Ahmed Mahmutoglu, Aditya Rastogi, Marianne Schell, et al.
Clinical Neuroradiology|March 27, 2026
From Anatomy to Outcome: Linking Glioma Location Patterns to Survival Using Non-Negative Matrix FactorizationMarianne Schell, Joel Kohler, Martha Folty-Dumitru, et al.
Human Brain Mapping|August 13, 2019
Automated brain extraction of multisequence MRI using artificial neural networksFabian Isensee, Marianne Schell, Irada Pflueger, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Neuro-Oncology|March 20, 2025
Histopathological and molecular characteristics of IDH-wildtype glioblastoma without contrast enhancement: implications for clinical outcomesMartha Foltyn-Dumitru, Rouzbeh Banan, Marianne Schell, et al.
European Radiology|May 26, 2025
Optimizing MRI sequence classification performance: insights from domain shift analysisMustafa Ahmed Mahmutoglu, Aditya Rastogi, Gianluca Brugnara, et al.
Scientific Reports|March 22, 2026
Performance of a GPU- and time-efficient pseudo-3D network for magnetic resonance image super-resolution and motion artifact reductionHao Li, Jianan Liu, Marianne Schell, et al.
Neuro-Oncology Advances|January 9, 2025
The potential of GPT-4 advanced data analysis for radiomics-based machine learning modelsMartha Foltyn-Dumitru, Aditya Rastogi, Jaeyoung Cho, et al.
Journal of Neuro-Oncology|February 24, 2026
Repeat resection for recurrent glioblastoma - does timing matter?Obada T Alhalabi, Kirill Mironov, Khurshed Nabiev, et al.
Radiology. Artificial Intelligence|October 28, 2025
Robust Brain Extraction Tool for Nonenhanced CT and CT Angiography: CTA-BETMustafa Ahmed Mahmutoglu, Aditya Rastogi, Yeong Chul Yun, et al.
Investigative Radiology|October 13, 2025
Improving Spatial Accuracy of MRI in the Presence of Metal-induced Geometric DistortionsHao Li, Ali C Özen, Mathias Nittka, et al.
European Radiology Experimental|October 9, 2024
Deep learning-based defacing tool for CT angiography: CTA-DEFACEMustafa Ahmed Mahmutoglu, Aditya Rastogi, Marianne Schell, et al.
Clinical Neuroradiology|March 27, 2026
From Anatomy to Outcome: Linking Glioma Location Patterns to Survival Using Non-Negative Matrix FactorizationMarianne Schell, Joel Kohler, Martha Folty-Dumitru, et al.
Human Brain Mapping|August 13, 2019
Automated brain extraction of multisequence MRI using artificial neural networksFabian Isensee, Marianne Schell, Irada Pflueger, et al.
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