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Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making

European radiology, 2019-10, Vol.29 (10), p.5458-5468

2019

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Quantitative 23 Na-MRI of the intervertebral disk at 3 T

NMR in biomedicine, 2022-08, Vol.35 (8), p.e4733-e4733

2022

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Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology

European radiology, 2020-08, Vol.30 (8), p.4675-4685

2020

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Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI

Insights into imaging, 2023-11, Vol.14 (1), p.185-185, Article 185

2023

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Diffusion Tensor Imaging of the Brachial Plexus: A Comparison between Readout-segmented and Conventional Single-shot Echo-planar Imaging

Magnetic Resonance in Medical Sciences, 2019, Vol.18(2), pp.150-157

2019

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Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?

Diagnostics (Basel), 2022-01, Vol.12 (1), p.181

2022

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BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

Diagnostics (Basel), 2022-06, Vol.12 (7), p.1564

2022

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Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification

European radiology experimental, 2022-07, Vol.6 (1), p.30-30, Article 30

2022

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Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

Diagnostics (Basel), 2022-05, Vol.12 (6), p.1347

2022

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Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study

Heliyon, 2021-07, Vol.7 (7), p.e07577-e07577, Article e07577

2021

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Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients

PloS one, 2016-05, Vol.11 (5), p.e0155717-e0155717

2016

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Correction: Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients

PloS one, 2016-09, Vol.11 (9), p.e0163630-e0163630

2016

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Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

European radiology experimental, 2019-11, Vol.3 (1), p.44-11, Article 44

2019

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Automated pixel‐wise brain tissue segmentation of diffusion‐weighted images via machine learning

NMR in biomedicine, 2018-07, Vol.31 (7), p.e3931-n/a

2018

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Quantitative 23Na‐MRI of the intervertebral disk at 3 T

NMR in biomedicine, 2022-08, Vol.35 (8), p.n/a

2022

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Quantitative 23Na‐MRI of the intervertebral disk at 3T

NMR in biomedicine, 2022-08, Vol.35 (8)

2022

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Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network

European radiology, 2022-07, Vol.32 (7), p.4868-4878

2022

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23Na‐T1 quantification with saturation recovery TrueFISP and variable flip angle GRE at 3T: A phantom study

Magnetic resonance in medicine, 2020-12, Vol.84 (6), p.3300-3307

2020

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23 Na-T 1 quantification with saturation recovery TrueFISP and variable flip angle GRE at 3T: A phantom study

Magnetic resonance in medicine, 2020-12, Vol.84 (6), p.3300-3307

2020

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Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach

Medicine (Baltimore), 2020-07, Vol.99 (29), p.e21243-e21243

2020

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Quantification of sodium T1 in abdominal tissues at 3 T

Magma (New York, N.Y.), 2020-06, Vol.33 (3), p.439-446

2020

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Determination of mammographic breast density using a deep convolutional neural network

British journal of radiology, 2019, Vol.92 (1093), p.20180691-20180691

2019

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Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle

Clinical imaging, 2023-03, Vol.95, p.28-36

2023

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23 Na-T1 quantification with saturation recovery TrueFISP and variable flip angle GRE at 3T: A phantom study

Magnetic resonance in medicine, 2020-12, Vol.84 (6), p.3300-3307

2020

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Accelerated diffusion-weighted imaging for lymph node assessment in the pelvis applying simultaneous multislice acquisition: A healthy volunteer study

Medicine (Baltimore), 2018-08, Vol.97 (32), p.e11745-e11745

2018

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Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making

Quantitative 23 Na-MRI of the intervertebral disk at 3 T

Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology

Generalizable attention U-Net for segmentation of fibroglandular tissue and background parenchymal enhancement in breast DCE-MRI

Diffusion Tensor Imaging of the Brachial Plexus: A Comparison between Readout-segmented and Conventional Single-shot Echo-planar Imaging

Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?

BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network

Radiomics in photon-counting dedicated breast CT: potential of texture analysis for breast density classification

Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network

Deep learning for the standardized classification of Ki-67 in vulva carcinoma: A feasibility study

Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients

Correction: Positive Contrast MRI Techniques for Visualization of Iron-Loaded Hernia Mesh Implants in Patients

Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

Automated pixel‐wise brain tissue segmentation of diffusion‐weighted images via machine learning

Quantitative 23Na‐MRI of the intervertebral disk at 3 T

Quantitative 23Na‐MRI of the intervertebral disk at 3T

Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network

23Na‐T1 quantification with saturation recovery TrueFISP and variable flip angle GRE at 3T: A phantom study

23 Na-T 1 quantification with saturation recovery TrueFISP and variable flip angle GRE at 3T: A phantom study

Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach

Quantification of sodium T1 in abdominal tissues at 3 T

Determination of mammographic breast density using a deep convolutional neural network

Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle

23 Na-T1 quantification with saturation recovery TrueFISP and variable flip angle GRE at 3T: A phantom study

Accelerated diffusion-weighted imaging for lymph node assessment in the pelvis applying simultaneous multislice acquisition: A healthy volunteer study

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