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Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry

Scientific reports, 2016-03, Vol.6 (1), p.23376-23376, Article 23376

2016

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Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques

Cancer imaging, 2020-08, Vol.20 (1), p.1-55, Article 55

2020

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Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning

Radiation oncology (London, England), 2020-05, Vol.15 (1), p.100-10, Article 100

2020

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Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation

Frontiers in neuroscience, 2019-11, Vol.13, p.1182-1182

2019

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Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases

Frontiers in oncology, 2020-12, Vol.10, p.581037-581037

2020

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Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded

PloS one, 2016-11, Vol.11 (11), p.e0165302-e0165302

2016

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The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation

Scientific data, 2022-12, Vol.9 (1), p.768-768

2022

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Evaluating automated longitudinal tumor measurements for glioblastoma response assessment

Frontiers in radiology, 2023-09, Vol.3, p.1211859-1211859

2023

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Two adult cases of massively calcified low-grade glioma: expanding clinical spectrum of an emerging entity

Neuropathology, 2016-10, Vol.36 (5), p.508-509

2016

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Adult Anaplastic Pilocytic Astrocytoma − A Diagnostic Challenge? A Case Series and Literature Review

Clinical neurology and neurosurgery, 2016-08, Vol.147, p.98-104

2016

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Automatic estimation of extent of resection and residual tumor volume of patients with glioblastoma

Journal of neurosurgery, 2017-10, Vol.127 (4), p.798-806

2017

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Automatic quality control in clinical (1)H MRSI of brain cancer

NMR in biomedicine, 2016-05, Vol.29 (5), p.563-575

2016

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Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.307-317

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Seminal vesicle carcinoma presenting with malignant ascites

Diagnostic cytopathology, 2020-08, Vol.48 (8), p.785-786

2020

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Analysis of metabolic abnormalities in high‐grade glioma using MRSI and convex NMF

NMR in biomedicine, 2019-08, Vol.32 (8), p.e4109-n/a

2019

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On the relation between MR spectroscopy features and the distance to MRI‐visible solid tumor in GBM patients

Magnetic resonance in medicine, 2018-12, Vol.80 (6), p.2339-2355

2018

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Automatic quality control in clinical super(1)H MRSI of brain cancer

NMR in biomedicine, 2016-05, Vol.29 (5), p.563-575

2016

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Automatic quality control in clinical 1 H MRSI of brain cancer

NMR in biomedicine, 2016-05, Vol.29 (5), p.563-575

2016

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Automatic quality control in clinical 1H MRSI of brain cancer

NMR in biomedicine, 2016-05, Vol.29 (5), p.563-575

2016

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Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, p.129-138

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Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.474-485

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Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.429-440

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CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, p.100-107

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A model of cerebral aspergillosis in non-immunosuppressed nursing rats

Acta neuropathologica, 2007-10, Vol.114 (4), p.411-418

2007

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Computer-aided radiological diagnostics improves the preoperative diagnoses of medulloblastoma, pilocytic astrocytoma, and ependymoma: A reproducibility study

Clinical and translational neuroscience, 2018-07, Vol.2 (2), p.2514183

2018

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Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry

Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques

Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning

Divide and Conquer: Stratifying Training Data by Tumor Grade Improves Deep Learning-Based Brain Tumor Segmentation

Exploratory Analysis of Qualitative MR Imaging Features for the Differentiation of Glioblastoma and Brain Metastases

Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded

The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation

Evaluating automated longitudinal tumor measurements for glioblastoma response assessment

Two adult cases of massively calcified low-grade glioma: expanding clinical spectrum of an emerging entity

Adult Anaplastic Pilocytic Astrocytoma − A Diagnostic Challenge? A Case Series and Literature Review

Automatic estimation of extent of resection and residual tumor volume of patients with glioblastoma

Automatic quality control in clinical (1)H MRSI of brain cancer

Overall Survival Prediction for Glioblastoma on Pre-treatment MRI Using Robust Radiomics and Priors

Seminal vesicle carcinoma presenting with malignant ascites

Analysis of metabolic abnormalities in high‐grade glioma using MRSI and convex NMF

On the relation between MR spectroscopy features and the distance to MRI‐visible solid tumor in GBM patients

Automatic quality control in clinical super(1)H MRSI of brain cancer

Automatic quality control in clinical 1 H MRSI of brain cancer

Automatic quality control in clinical 1H MRSI of brain cancer

Towards MRI Progression Features for Glioblastoma Patients: From Automated Volumetry and Classical Radiomics to Deep Feature Learning

Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction

Deep Learning Versus Classical Regression for Brain Tumor Patient Survival Prediction

CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias

A model of cerebral aspergillosis in non-immunosuppressed nursing rats

Computer-aided radiological diagnostics improves the preoperative diagnoses of medulloblastoma, pilocytic astrocytoma, and ependymoma: A reproducibility study

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