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Automated brain extraction of multisequence MRI using artificial neural networks

Human brain mapping, 2019-12, Vol.40 (17), p.4952-4964

2019

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The Cancer Epidemic: Globale Bedeutung der Krebserkrankungen und Situation der onkologischen Bildgebung

Radiologie (Heidelberg, Germany), 2023-01, Vol.63 (1), p.49-56

Schlemmer, Heinz-Peter

2023

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Performance of today's dual energy CT and future multi energy CT in virtual non‐contrast imaging and in iodine quantification: A simulation study

Medical physics (Lancaster), 2015-07, Vol.42 (7), p.4349-4366

2015

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Funktionelle Bildgebung in der Onkologie

Die Onkologie, 2023-12, Vol.29 (12), p.1020-1022

2023

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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment

Radiology, 2019-12, Vol.293 (3), p.607-617

2019

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Multicentre evaluation of targeted and systematic biopsies using magnetic resonance and ultrasound image‐fusion guided transperineal prostate biopsy in patients with a previous negative biopsy

BJU international, 2017-11, Vol.120 (5), p.631-638

2017

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Gadolinium retention in the dentate nucleus and globus pallidus is dependent on the class of contrast agent

Radiology, 2015-06, Vol.275 (3), p.783-791

2015

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Diagnostische Radiologie: Update 2022

Die Onkologie, 2022-09, Vol.28 (9), p.818-827

2022

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Early response assessment of glioma patients to definitive chemoradiotherapy using chemical exchange saturation transfer imaging at 7 T

Journal of magnetic resonance imaging, 2019-10, Vol.50 (4), p.1268-1277

2019

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Downfield‐NOE‐suppressed amide‐CEST‐MRI at 7 Tesla provides a unique contrast in human glioblastoma

Magnetic resonance in medicine, 2017-01, Vol.77 (1), p.196-208

2017

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Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT

Medical physics (Lancaster), 2021-07, Vol.48 (7), p.3572-3582

2021

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Relaxation‐compensated APT and rNOE CEST‐MRI of human brain tumors at 3 T

Magnetic resonance in medicine, 2019-08, Vol.82 (2), p.622-632

2019

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MRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology

Radiology, 2021-02, Vol.298 (2), p.248-260

2021

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Suitable reference tissues for quantitative susceptibility mapping of the brain

Magnetic resonance in medicine, 2017-07, Vol.78 (1), p.204-214

2017

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Guidelines for Acquisition, Interpretation, and Reporting of Whole-Body MRI in Myeloma: Myeloma Response Assessment and Diagnosis System (MY-RADS)

Radiology, 2019-04, Vol.291 (1), p.5-13

2019

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Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography

Journal of magnetic resonance imaging, 2017-08, Vol.46 (2), p.604-616

2017

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Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

Clinical cancer research, 2016-12, Vol.22 (23), p.5765-5771

2016

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Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

Radiology, 2016-09, Vol.280 (3), p.880-889

2016

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Semi‐solid MT and APTw CEST‐MRI predict clinical outcome of patients with glioma early after radiotherapy

Magnetic resonance in medicine, 2023-10, Vol.90 (4), p.1569-1581

2023

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Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment

European radiology, 2021-01, Vol.31 (1), p.302-313

2021

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The Value of PSA Density in Combination with PI-RADS for the Accuracy of Prostate Cancer Prediction

The Journal of urology, 2017-09, Vol.198 (3), p.575-582

2017

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Clinical routine acquisition protocol for 3D relaxation‐compensated APT and rNOE CEST‐MRI of the human brain at 3T

Magnetic resonance in medicine, 2021-07, Vol.86 (1), p.393-404

2021

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Navigator‐based slice tracking for kidney pCASL using spin‐echo EPI acquisition

Magnetic resonance in medicine, 2023-07, Vol.90 (1), p.231-239

2023

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Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features

Radiology, 2016-12, Vol.281 (3), p.907-918

2016

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Automated brain extraction of multisequence MRI using artificial neural networks

The Cancer Epidemic: Globale Bedeutung der Krebserkrankungen und Situation der onkologischen Bildgebung

Performance of today's dual energy CT and future multi energy CT in virtual non‐contrast imaging and in iodine quantification: A simulation study

Funktionelle Bildgebung in der Onkologie

Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment

Multicentre evaluation of targeted and systematic biopsies using magnetic resonance and ultrasound image‐fusion guided transperineal prostate biopsy in patients with a previous negative biopsy

Gadolinium retention in the dentate nucleus and globus pallidus is dependent on the class of contrast agent

Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

Diagnostische Radiologie: Update 2022

Early response assessment of glioma patients to definitive chemoradiotherapy using chemical exchange saturation transfer imaging at 7 T

Downfield‐NOE‐suppressed amide‐CEST‐MRI at 7 Tesla provides a unique contrast in human glioblastoma

Photon‐counting normalized metal artifact reduction (NMAR) in diagnostic CT

Relaxation‐compensated APT and rNOE CEST‐MRI of human brain tumors at 3 T

MRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology

Suitable reference tissues for quantitative susceptibility mapping of the brain

Guidelines for Acquisition, Interpretation, and Reporting of Whole-Body MRI in Myeloma: Myeloma Response Assessment and Diagnosis System (MY-RADS)

Prediction of malignancy by a radiomic signature from contrast agent‐free diffusion MRI in suspicious breast lesions found on screening mammography

Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response

Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models

Semi‐solid MT and APTw CEST‐MRI predict clinical outcome of patients with glioma early after radiotherapy

Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment

The Value of PSA Density in Combination with PI-RADS for the Accuracy of Prostate Cancer Prediction

Clinical routine acquisition protocol for 3D relaxation‐compensated APT and rNOE CEST‐MRI of the human brain at 3T

Navigator‐based slice tracking for kidney pCASL using spin‐echo EPI acquisition

Radiogenomics of Glioblastoma: Machine Learning-based Classification of Molecular Characteristics by Using Multiparametric and Multiregional MR Imaging Features

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