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Within- and across-network alterations of the sensorimotor network in Parkinson’s disease

Neuroradiology, 2021-12, Vol.63 (12), p.2073-2085

2021

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Reproducibility and across-site transferability of an improved deep learning approach for aneurysm detection and segmentation in time-of-flight MR-angiograms

Scientific reports, 2024-08, Vol.14 (1), p.18749-11, Article 18749

2024

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Impact of defacing on automated brain atrophy estimation

Insights into imaging, 2022-03, Vol.13 (1), p.54-54, Article 54

2022

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Optimal acquisition sequence for AI-assisted brain tumor segmentation under the constraint of largest information gain per additional MRI sequence

Neuroscience informatics, 2022-12, Vol.2 (4), p.100053, Article 100053

2022

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Impact of normative brain volume reports on the diagnosis of neurodegenerative dementia disorders in neuroradiology: A real-world, clinical practice study

Frontiers in aging neuroscience, 2022-10, Vol.14, p.971863-971863

2022

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Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach

Network neuroscience (Cambridge, Mass.), 2023-01, Vol.7 (1), p.122-147

2023

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Differential Functional Connectivity Alterations of Two Subdivisions within the Right dlPFC in Parkinson's Disease

Frontiers in human neuroscience, 2017-05, Vol.11, p.288-288

2017

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Novel Insights into Pathophysiology of Delayed Cerebral Ischemia: Effects of Current Rescue Therapy on Microvascular Perfusion Heterogeneity

Biomedicines, 2023-09, Vol.11 (10), p.2624

2023

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Evaluation of Mean Transit Time Heterogeneity of Perfusion CT Imaging in the Early Brain Injury Phase: An Insight into aSAH Pathophysiology

Brain & spine, 2023, Vol.3, p.101993, Article 101993

2023

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Effect of multimodal SAH therapy on MTT and MTT heterogeneity of perfusion CT imaging: Limitations of the current rescue therapy

Brain & spine, 2023, Vol.3, p.102041, Article 102041

2023

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Automated age- and sex-specific volumetric estimation of regional brain atrophy: workflow and feasibility

European radiology, 2021-02, Vol.31 (2), p.1043-1048

2021

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Odynophagie als erstes Symptom bei Affenpocken-Infektion

HNO, 2023-05, Vol.71 (5), p.319-322

2023

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Einfluss der Charakteristika von Vergleichskollektiven auf die automatische Hirnatrophieschatzung--wie viele Vergleichssubjekte sind notwendig?

Clinical neuroradiology (Munich), 2021-09, Vol.31 (S1), p.S4

2021

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Cerebral Autoregulation: Don’t go with the Flow, be the Flow; Author′s Response

Neurocritical care, 2023-08, Vol.39 (1), p.266-267

2023

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Cerebral Autoregulation: Don't go with the Flow, be the Flow; Author's Response

Neurocritical care, 2023-08, Vol.39 (1), p.266

2023

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Cone Beam CT in Assessment of Tibial Bone Defect Healing: An Animal Study

Academic radiology, 2012-03, Vol.19 (3), p.320-325

2012

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Use of Contrast-Enhanced Spectral Mammography for Intramammary Cancer Staging

Academic radiology, 2014-11, Vol.21 (11), p.1363-1369

2014

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Automatic Alignment of Cranial CT Examinations to the Anterior Commissure/Posterior Commissure (ACPC) Reference Plane for Reliable Interpretation and Quality Assurance

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2021-01, Vol.193 (1), p.61-67

2021

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The impact of orthopedic metal artifact reduction software on interreader variability when delineating areas of interest in the head and neck

Practical Radiation Oncology, 2015-07, Vol.5 (4), p.e309-e315

2015

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Normal cohorts in automated brain atrophy estimation: how many healthy subjects to include?

European radiology, 2024-01, Vol.34 (8), p.5276-5286

2024

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Artifacts and Diagnostic Pitfalls in Positron Emission Tomography-Magnetic Resonance Imaging

Seminars in roentgenology, 2014-07, Vol.49 (3), p.255-270

2014

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Dynamik zerebraler mikrozirkulationsstörungen nach subarachnoidalblutung - prädiktiver wert einer frühen inzidenz

Rubbert, Christian

2016

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Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

British journal of radiology, 2019-09, Vol.92 (1101), p.20180886-20180886

2019

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Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission

European radiology, 2018-12, Vol.28 (12), p.4949-4958

2018

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Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast 18FFDG-PET/MRI

European journal of nuclear medicine and molecular imaging, 2024-04, Vol.51 (5), p.1451

2024

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Within- and across-network alterations of the sensorimotor network in Parkinson’s disease

Reproducibility and across-site transferability of an improved deep learning approach for aneurysm detection and segmentation in time-of-flight MR-angiograms

Impact of defacing on automated brain atrophy estimation

Optimal acquisition sequence for AI-assisted brain tumor segmentation under the constraint of largest information gain per additional MRI sequence

Impact of normative brain volume reports on the diagnosis of neurodegenerative dementia disorders in neuroradiology: A real-world, clinical practice study

Classification and prediction of cognitive performance differences in older age based on brain network patterns using a machine learning approach

Differential Functional Connectivity Alterations of Two Subdivisions within the Right dlPFC in Parkinson's Disease

Novel Insights into Pathophysiology of Delayed Cerebral Ischemia: Effects of Current Rescue Therapy on Microvascular Perfusion Heterogeneity

Evaluation of Mean Transit Time Heterogeneity of Perfusion CT Imaging in the Early Brain Injury Phase: An Insight into aSAH Pathophysiology

Effect of multimodal SAH therapy on MTT and MTT heterogeneity of perfusion CT imaging: Limitations of the current rescue therapy

Automated age- and sex-specific volumetric estimation of regional brain atrophy: workflow and feasibility

Odynophagie als erstes Symptom bei Affenpocken-Infektion

Einfluss der Charakteristika von Vergleichskollektiven auf die automatische Hirnatrophieschatzung--wie viele Vergleichssubjekte sind notwendig?

Cerebral Autoregulation: Don’t go with the Flow, be the Flow; Author′s Response

Cerebral Autoregulation: Don't go with the Flow, be the Flow; Author's Response

Cone Beam CT in Assessment of Tibial Bone Defect Healing: An Animal Study

Use of Contrast-Enhanced Spectral Mammography for Intramammary Cancer Staging

Automatic Alignment of Cranial CT Examinations to the Anterior Commissure/Posterior Commissure (ACPC) Reference Plane for Reliable Interpretation and Quality Assurance

The impact of orthopedic metal artifact reduction software on interreader variability when delineating areas of interest in the head and neck

Normal cohorts in automated brain atrophy estimation: how many healthy subjects to include?

Artifacts and Diagnostic Pitfalls in Positron Emission Tomography-Magnetic Resonance Imaging

Dynamik zerebraler mikrozirkulationsstörungen nach subarachnoidalblutung - prädiktiver wert einer frühen inzidenz

Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission

Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast 18FFDG-PET/MRI

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