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Radiomics of hepatocellular carcinoma

Abdominal radiology (New York), 2021, Vol.46 (1), p.111-123

2021

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MRI methods for the evaluation of high intensity focused ultrasound tumor treatment: Current status and future needs

Magnetic resonance in medicine, 2016-01, Vol.75 (1), p.302-317

2016

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Tomoelastography of the Prostate: Use of Tissue Stiffness for Improved Cancer Detection

Radiology, 2021-05, Vol.299 (2), p.371-373

2021

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Multiparametric magnetic resonance imaging shows promising results to assess renal transplant dysfunction with fibrosis

Kidney international, 2020-02, Vol.97 (2), p.414-420

2020

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MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

European radiology, 2020-07, Vol.30 (7), p.3759-3769

2020

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Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI

European radiology, 2021-06, Vol.31 (6), p.3805-3814

2021

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Editorial for: “Evaluation of Pancreatic Fibrosis With T1ρ Magnetic Resonance Imaging: A Preliminary Study”

Journal of magnetic resonance imaging, 2021-02, Vol.53 (2), p.585-586

2021

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Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness

The Journal of urology, 2019-09, Vol.202 (3), p.498-505

2019

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4D flow MRI in abdominal vessels: prospective comparison of k-t accelerated free breathing acquisition to standard respiratory navigator gated acquisition

Scientific reports, 2022-11, Vol.12 (1), p.19886-19886, Article 19886

2022

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Luminal Water Imaging: Comparison With Diffusion‐Weighted Imaging (DWI) and PI‐RADS for Characterization of Prostate Cancer Aggressiveness

Journal of magnetic resonance imaging, 2020-07, Vol.52 (1), p.271-279

2020

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Advanced Diffusion-weighted Imaging Modeling for Prostate Cancer Characterization: Correlation with Quantitative Histopathologic Tumor Tissue Composition-A Hypothesis-generating Study

Radiology, 2018-03, Vol.286 (3), p.918-928

2018

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Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging

Scientific reports, 2017-05, Vol.7 (1), p.2452-12, Article 2452

2017

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Multiparametric MRI analysis for the identification of high intensity focused ultrasound-treated tumor tissue

PloS one, 2014-06, Vol.9 (6), p.e99936-e99936

2014

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Prostate MRI: Toward Imaging Tumor Histology

Radiology, 2020-08, Vol.296 (2), p.356-357

2020

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Precision of MRI radiomics features in the liver and hepatocellular carcinoma

European radiology, 2022-03, Vol.32 (3), p.2030-2040

2022

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Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE‐MRI: Results from a multicenter phantom study

Magnetic resonance in medicine, 2018-05, Vol.79 (5), p.2564-2575

2018

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Volumetric quantitative histogram analysis using diffusion-weighted magnetic resonance imaging to differentiate HCC from other primary liver cancers

Abdominal radiology (New York), 2019-03, Vol.44 (3), p.912-922

2019

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Is MRI relaxometry parameter T1ρ specific to fibrosis or confounded by concomitant pathological features?

Quantitative imaging in medicine and surgery, 2020-12, Vol.10 (12), p.2408-2410

Hectors, Stefanie J.

2020

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Amide proton transfer imaging of high intensity focused ultrasound-treated tumor tissue

Magnetic resonance in medicine, 2014-10, Vol.72 (4), p.1113-1122

2014

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Magnetic resonance elastography vs. point shear wave ultrasound elastography for the assessment of renal allograft dysfunction

European journal of radiology, 2020-05, Vol.126, p.108949-108949, Article 108949

2020

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Magnetic Resonance Imaging Radiomics‐Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI‐RADS 3 Lesions

Journal of magnetic resonance imaging, 2021-11, Vol.54 (5), p.1466-1473

2021

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Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response

Abdominal radiology (New York), 2021-08, Vol.46 (8), p.3674-3685

2021

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Diffusion and perfusion MRI quantification in ileal Crohn’s disease

European radiology, 2019-02, Vol.29 (2), p.993-1002

2019

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Characterization of solid renal neoplasms using MRI-based quantitative radiomics features

Abdominal radiology (New York), 2020-09, Vol.45 (9), p.2840-2850

2020

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Multiparametric MRI analysis for the evaluation of MR-guided high intensity focused ultrasound tumor treatment

NMR in biomedicine, 2015-09, Vol.28 (9), p.1125-1140

2015

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Radiomics of hepatocellular carcinoma

MRI methods for the evaluation of high intensity focused ultrasound tumor treatment: Current status and future needs

Tomoelastography of the Prostate: Use of Tissue Stiffness for Improved Cancer Detection

Multiparametric magnetic resonance imaging shows promising results to assess renal transplant dysfunction with fibrosis

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid–enhanced MRI

Editorial for: “Evaluation of Pancreatic Fibrosis With T1ρ Magnetic Resonance Imaging: A Preliminary Study”

Radiomics Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Aggressiveness

4D flow MRI in abdominal vessels: prospective comparison of k-t accelerated free breathing acquisition to standard respiratory navigator gated acquisition

Luminal Water Imaging: Comparison With Diffusion‐Weighted Imaging (DWI) and PI‐RADS for Characterization of Prostate Cancer Aggressiveness

Advanced Diffusion-weighted Imaging Modeling for Prostate Cancer Characterization: Correlation with Quantitative Histopathologic Tumor Tissue Composition-A Hypothesis-generating Study

Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging

Multiparametric MRI analysis for the identification of high intensity focused ultrasound-treated tumor tissue

Prostate MRI: Toward Imaging Tumor Histology

Precision of MRI radiomics features in the liver and hepatocellular carcinoma

Accuracy, repeatability, and interplatform reproducibility of T1 quantification methods used for DCE‐MRI: Results from a multicenter phantom study

Volumetric quantitative histogram analysis using diffusion-weighted magnetic resonance imaging to differentiate HCC from other primary liver cancers

Is MRI relaxometry parameter T1ρ specific to fibrosis or confounded by concomitant pathological features?

Amide proton transfer imaging of high intensity focused ultrasound-treated tumor tissue

Magnetic resonance elastography vs. point shear wave ultrasound elastography for the assessment of renal allograft dysfunction

Magnetic Resonance Imaging Radiomics‐Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI‐RADS 3 Lesions

Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response

Diffusion and perfusion MRI quantification in ileal Crohn’s disease

Characterization of solid renal neoplasms using MRI-based quantitative radiomics features

Multiparametric MRI analysis for the evaluation of MR-guided high intensity focused ultrasound tumor treatment

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