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Marianne Schell

Showing results (21-30 of 28) with videos related to

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Neuro-Oncology Advances|September 15, 2022
Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networksIrada Pflüger, Tassilo Wald, Fabian Isensee, et al.
Neuro-Oncology|May 13, 2020
Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trialMarianne Schell, Irada Pflüger, Gianluca Brugnara, et al.
Radiology|July 29, 2020
Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 TrialPhilipp Kickingereder, Gianluca Brugnara, Mikkel Bo Hansen, et al.
NPJ Precision Oncology|November 27, 2025
Enhancing decision-making in glioblastoma surgery through an explainable human-AI collaboration: an international multicenter model development and external validation studyJulius M Kernbach, Urte Schroeder, Karlijn Hakvoort, et al.
The Lancet. Oncology|April 7, 2019
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective studyPhilipp Kickingereder, Fabian Isensee, Irada Tursunova, et al.
The Lancet. Digital Health|October 24, 2021
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort studyChandrakanth Jayachandran Preetha, Hagen Meredig, Gianluca Brugnara, et al.
Neuro-Oncology|December 31, 2025
Multimodality mapping of immunotherapy distribution as a predictive marker in gliomaJonas G Scheck, Berin Boztepe, Julius M Kernbach, et al.
The Lancet. Oncology|February 29, 2024
Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort studyAditya Rastogi, Gianluca Brugnara, Martha Foltyn-Dumitru, et al.
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Showing results (21-30 of 28) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 28 results.
Neuro-Oncology Advances|September 15, 2022
Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networksIrada Pflüger, Tassilo Wald, Fabian Isensee, et al.
Neuro-Oncology|May 13, 2020
Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trialMarianne Schell, Irada Pflüger, Gianluca Brugnara, et al.
Radiology|July 29, 2020
Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 TrialPhilipp Kickingereder, Gianluca Brugnara, Mikkel Bo Hansen, et al.
NPJ Precision Oncology|November 27, 2025
Enhancing decision-making in glioblastoma surgery through an explainable human-AI collaboration: an international multicenter model development and external validation studyJulius M Kernbach, Urte Schroeder, Karlijn Hakvoort, et al.
The Lancet. Oncology|April 7, 2019
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective studyPhilipp Kickingereder, Fabian Isensee, Irada Tursunova, et al.
The Lancet. Digital Health|October 24, 2021
Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort studyChandrakanth Jayachandran Preetha, Hagen Meredig, Gianluca Brugnara, et al.
Neuro-Oncology|December 31, 2025
Multimodality mapping of immunotherapy distribution as a predictive marker in gliomaJonas G Scheck, Berin Boztepe, Julius M Kernbach, et al.
The Lancet. Oncology|February 29, 2024
Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort studyAditya Rastogi, Gianluca Brugnara, Martha Foltyn-Dumitru, et al.
Pageof 3