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Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges

American journal of roentgenology (1976), 2011-06, Vol.196 (6), p.1351-1361

2011

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Improved intravoxel incoherent motion analysis of diffusion weighted imaging by data driven Bayesian modeling

Magnetic resonance in medicine, 2014-01, Vol.71 (1), p.411-420

2014

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Assessment of treatment response by total tumor volume and global apparent diffusion coefficient using diffusion-weighted MRI in patients with metastatic bone disease: a feasibility study

PloS one, 2014-04, Vol.9 (4), p.e91779-e91779

2014

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Inter- and Intra-Observer Repeatability of Quantitative Whole-Body, Diffusion-Weighted Imaging (WBDWI) in Metastatic Bone Disease

PloS one, 2016-04, Vol.11 (4), p.e0153840-e0153840

2016

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Clinical application of machine learning models in patients with prostate cancer before prostatectomy

Cancer imaging, 2024-02, Vol.24 (1), p.24-24, Article 24

2024

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Principal component analysis for fast and model-free denoising of multi b-value diffusion-weighted MR images

Physics in medicine & biology, 2019-05, Vol.64 (10), p.105015

2019

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Prediction of extracapsular extension of prostate cancer by MRI radiomic signature: a systematic review

Insights into imaging, 2024-08, Vol.15 (1), p.217-10

2024

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Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: insights from the TRACERx Renal study

Cancer imaging, 2023-08, Vol.23 (1), p.76-14, Article 76

2023

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Noise-Corrected, Exponentially Weighted, Diffusion-Weighted MRI (niceDWI) Improves Image Signal Uniformity in Whole-Body Imaging of Metastatic Prostate Cancer

Frontiers in oncology, 2020-05, Vol.10, p.704-704

2020

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Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy

Frontiers in oncology, 2022-07, Vol.12, p.899180

2022

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Development of a temperature-controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.2998-3007

2016

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Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1930-1943

2013

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Radiomics in Oncology: A Practical Guide

Radiographics, 2021-10, Vol.41 (6), p.1717-1732

2021

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DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases

Cancer imaging, 2021-12, Vol.21 (1), p.67-67, Article 67

2021

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Microstructure Characterization of Bone Metastases from Prostate Cancer with Diffusion MRI: Preliminary Findings

Frontiers in oncology, 2018-02, Vol.8, p.26-26

2018

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Probing structure of normal and malignant prostate tissue before and after radiation therapy with luminal water fraction and diffusion‐weighted MRI

Journal of magnetic resonance imaging, 2019-08, Vol.50 (2), p.619-627

2019

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Evaluation of simultaneous multi-slice acquisition with advanced processing for free-breathing diffusion-weighted imaging in patients with liver metastasis

European radiology, 2024-04, Vol.34 (4), p.2457-2467

2024

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Model free approach to kinetic analysis of real-time hyperpolarized 13C magnetic resonance spectroscopy data

PloS one, 2013-09, Vol.8 (9), p.e71996-e71996

2013

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Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer

Medical image analysis, 2022-08, Vol.80, p.102512-102512, Article 102512

2022

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Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI

European radiology, 2017-02, Vol.27 (2), p.627-636

2017

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Quantifying MRI T 1 relaxation in flowing blood: implications for arterial input function measurement in DCE-MRI

British journal of radiology, 2021-03, Vol.94 (1119), p.20191004

2021

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Quantifying MRI T1 relaxation in flowing blood: implications for arterial input function measurement in DCE-MRI

British journal of radiology, 2021-03, Vol.94 (1119), p.20191004-20191004

2021

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Modelling DW-MRI data from primary and metastatic ovarian tumours

European radiology, 2015-07, Vol.25 (7), p.2033-2040

2015

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Reduced Warburg effect in cancer cells undergoing autophagy: steady- state 1H-MRS and real-time hyperpolarized 13C-MRS studies

PloS one, 2014, Vol.9 (3), p.e92645-e92645

2014

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Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges

Improved intravoxel incoherent motion analysis of diffusion weighted imaging by data driven Bayesian modeling

Assessment of treatment response by total tumor volume and global apparent diffusion coefficient using diffusion-weighted MRI in patients with metastatic bone disease: a feasibility study

Inter- and Intra-Observer Repeatability of Quantitative Whole-Body, Diffusion-Weighted Imaging (WBDWI) in Metastatic Bone Disease

Clinical application of machine learning models in patients with prostate cancer before prostatectomy

Principal component analysis for fast and model-free denoising of multi b-value diffusion-weighted MR images

Prediction of extracapsular extension of prostate cancer by MRI radiomic signature: a systematic review

Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: insights from the TRACERx Renal study

Noise-Corrected, Exponentially Weighted, Diffusion-Weighted MRI (niceDWI) Improves Image Signal Uniformity in Whole-Body Imaging of Metastatic Prostate Cancer

Radiomic Features From Diffusion-Weighted MRI of Retroperitoneal Soft-Tissue Sarcomas Are Repeatable and Exhibit Change After Radiotherapy

Development of a temperature-controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

Radiomics in Oncology: A Practical Guide

DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases

Microstructure Characterization of Bone Metastases from Prostate Cancer with Diffusion MRI: Preliminary Findings

Probing structure of normal and malignant prostate tissue before and after radiation therapy with luminal water fraction and diffusion‐weighted MRI

Evaluation of simultaneous multi-slice acquisition with advanced processing for free-breathing diffusion-weighted imaging in patients with liver metastasis

Model free approach to kinetic analysis of real-time hyperpolarized 13C magnetic resonance spectroscopy data

A CT-based radiomics classification model for the prediction of histological type and tumour grade in retroperitoneal sarcoma (RADSARC-R): a retrospective multicohort analysis

Deep learning DCE-MRI parameter estimation: Application in pancreatic cancer

Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI

Quantifying MRI T 1 relaxation in flowing blood: implications for arterial input function measurement in DCE-MRI

Quantifying MRI T1 relaxation in flowing blood: implications for arterial input function measurement in DCE-MRI

Modelling DW-MRI data from primary and metastatic ovarian tumours

Reduced Warburg effect in cancer cells undergoing autophagy: steady- state 1H-MRS and real-time hyperpolarized 13C-MRS studies

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