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Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis

PloS one, 2020-05, Vol.15 (5), p.e0232856

2020

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Impact of the Kaiser score on clinical decision-making in BI-RADS 4 mammographic calcifications examined with breast MRI

European radiology, 2020-03, Vol.30 (3), p.1451-1459

2020

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Combined texture analysis and machine learning in suspicious calcifications detected by mammography: Potential to avoid unnecessary stereotactical biopsies

European journal of radiology, 2020-11, Vol.132, p.109309-109309, Article 109309

2020

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Multiparametric ultrasound examination for response assessment in breast cancer patients undergoing neoadjuvant therapy

Scientific reports, 2021-01, Vol.11 (1), p.2501-2501, Article 2501

2021

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AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis

European journal of nuclear medicine and molecular imaging, 2022-01, Vol.49 (2), p.596-608

2022

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Estimation of the biomechanical mammographic deformation of the breast using machine learning models

Clinical biomechanics (Bristol), 2023-12, Vol.110, p.106117-106117, Article 106117

2023

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Impact of PI-QUAL on PI-RADS and cancer yield in an MRI-TRUS fusion biopsy population

European journal of radiology, 2022-09, Vol.154, p.110431-110431, Article 110431

2022

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Cancer detection rate of breast-MR in supplemental screening after negative mammography in women with dense breasts. Preliminary results of the MA-DETECT-Study after 200 participants

European journal of radiology, 2024-07, Vol.176, p.111476, Article 111476

2024

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Contrast-enhanced breast imaging: Current status and future challenges

European journal of radiology, 2024-02, Vol.171, p.111312-111312, Article 111312

2024

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Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study

European radiology, 2014-09, Vol.24 (9), p.2213-2219

2014

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Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography

European journal of radiology, 2020-12, Vol.133, p.109402-109402, Article 109402

2020

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How much can abbreviated protocols for breast MRI increase patient throughput? a multi-centric evaluation

European journal of radiology, 2022-09, Vol.154, p.110436-110436, Article 110436

2022

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Can the addition of clinical information improve the accuracy of PI-RADS version 2 for the diagnosis of clinically significant prostate cancer in positive MRI?

Clinical radiology, 2020-02, Vol.75 (2), p.157.e1-157.e7

2020

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Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI

European journal of nuclear medicine and molecular imaging, 2021-06, Vol.48 (6), p.1795-1805

2021

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Enhancing the Kaiser score for lesion characterization in unenhanced breast MRI

European journal of radiology, 2024-07, Vol.176, p.111520, Article 111520

2024

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Using the Kaiser Score as a clinical decision rule for breast lesion classification: Does computer-assisted curve type analysis improve diagnosis?

European journal of radiology, 2024-01, Vol.170, p.111271-111271, Article 111271

2024

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Knowledge‐Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast‐Enhanced Magnetic Resonance Imaging

Computer graphics forum, 2020-06, Vol.39 (3), p.13-23

2020

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DCE-MRI of the breast in a stand-alone setting outside a complementary strategy - results of the TK-study

European radiology, 2015-06, Vol.25 (6), p.1793-1800

2015

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Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques

European radiology, 2009-07, Vol.19 (7), p.1612-1620

2009

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Apparent diffusion coefficient values obtained by unenhanced MRI predicts disease-specific survival in bladder cancer

Clinical radiology, 2018-10, Vol.73 (10), p.881-885

2018

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External validation of nomograms including MRI features for the prediction of side-specific extraprostatic extension

Prostate cancer and prostatic diseases, 2024-09, Vol.27 (3), p.492-499

2024

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Automatic multimodal 2D/3D breast image registration using biomechanical FEM models and intensity-based optimization

Medical image analysis, 2013-02, Vol.17 (2), p.209-218

2013

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Utility and limitations of 3-Tesla diffusion-weighted magnetic resonance imaging for differentiation of renal tumors

European journal of radiology, 2014-06, Vol.83 (6), p.909-913

2014

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Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment

European radiology, 2016-11, Vol.26 (11), p.3917-3922

2016

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Big Data in der Mammadiagnostik

RöFo : Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebende Verfahren, 2015, Vol.187 (S 01)

Baltzer, P

2015

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Diagnostic performance of breast tumor tissue selection in diffusion weighted imaging: A systematic review and meta-analysis

Impact of the Kaiser score on clinical decision-making in BI-RADS 4 mammographic calcifications examined with breast MRI

Combined texture analysis and machine learning in suspicious calcifications detected by mammography: Potential to avoid unnecessary stereotactical biopsies

Multiparametric ultrasound examination for response assessment in breast cancer patients undergoing neoadjuvant therapy

AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis

Estimation of the biomechanical mammographic deformation of the breast using machine learning models

Impact of PI-QUAL on PI-RADS and cancer yield in an MRI-TRUS fusion biopsy population

Cancer detection rate of breast-MR in supplemental screening after negative mammography in women with dense breasts. Preliminary results of the MA-DETECT-Study after 200 participants

Contrast-enhanced breast imaging: Current status and future challenges

Fat saturation in dynamic breast MRI at 3 Tesla: is the Dixon technique superior to spectral fat saturation? A visual grading characteristics study

Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography

How much can abbreviated protocols for breast MRI increase patient throughput? a multi-centric evaluation

Can the addition of clinical information improve the accuracy of PI-RADS version 2 for the diagnosis of clinically significant prostate cancer in positive MRI?

Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI

Enhancing the Kaiser score for lesion characterization in unenhanced breast MRI

Using the Kaiser Score as a clinical decision rule for breast lesion classification: Does computer-assisted curve type analysis improve diagnosis?

Knowledge‐Assisted Comparative Assessment of Breast Cancer using Dynamic Contrast‐Enhanced Magnetic Resonance Imaging

DCE-MRI of the breast in a stand-alone setting outside a complementary strategy - results of the TK-study

Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques

Apparent diffusion coefficient values obtained by unenhanced MRI predicts disease-specific survival in bladder cancer

External validation of nomograms including MRI features for the prediction of side-specific extraprostatic extension

Automatic multimodal 2D/3D breast image registration using biomechanical FEM models and intensity-based optimization

Utility and limitations of 3-Tesla diffusion-weighted magnetic resonance imaging for differentiation of renal tumors

Inter- and intra-observer agreement of BI-RADS-based subjective visual estimation of amount of fibroglandular breast tissue with magnetic resonance imaging: comparison to automated quantitative assessment

Big Data in der Mammadiagnostik

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