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Deep learning how to fit an intravoxel incoherent motion model to diffusion‐weighted MRI

Magnetic resonance in medicine, 2020-01, Vol.83 (1), p.312-321

2020

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Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

Magnetic resonance in medicine, 2021-10, Vol.86 (4), p.2250-2265

2021

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Repeatability of IVIM biomarkers from diffusion‐weighted MRI in head and neck: Bayesian probability versus neural network

Magnetic resonance in medicine, 2021-06, Vol.85 (6), p.3394-3402

2021

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Optimal acquisition scheme for flow‐compensated intravoxel incoherent motion diffusion‐weighted imaging in the abdomen: An accurate and precise clinically feasible protocol

Magnetic resonance in medicine, 2020-03, Vol.83 (3), p.1003-1015

2020

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Contrast‐agent‐based perfusion MRI code repository and testing framework: ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)

Magnetic resonance in medicine, 2024-05, Vol.91 (5), p.1774-1786

2024

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Model‐based reconstructions for intravoxel incoherent motion and diffusion tensor imaging parameter map estimations

NMR in biomedicine, 2023-08, Vol.36 (8), p.e4927-n/a

2023

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Improving microstructural integrity, interstitial fluid, and blood microcirculation images from multi-b-value diffusion MRI using physics-informed neural networks in cerebrovascular disease

Magnetic resonance in medicine, 2023-10, Vol.90 (4), p.1657-1671

2023

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Cross‐modality deep learning: Contouring of MRI data from annotated CT data only

Medical physics (Lancaster), 2021-04, Vol.48 (4), p.1673-1684

2021

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Visibility and artifacts of gold fiducial markers used for image guided radiation therapy of pancreatic cancer on MRI

Medical physics (Lancaster), 2015-05, Vol.42 (5), p.2638-2647

2015

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Phase I/II Study of LDE225 in Combination with Gemcitabine and Nab-Paclitaxel in Patients with Metastatic Pancreatic Cancer

Cancers, 2021-09, Vol.13 (19), p.4869

2021

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Optimizing pseudo‐spiral sampling for abdominal DCE MRI using a digital anthropomorphic phantom

Magnetic resonance in medicine, 2024-07

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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Evaluation of Six Diffusion-weighted MRI Models for Assessing Effects of Neoadjuvant Chemoradiation in Pancreatic Cancer Patients

International journal of radiation oncology, biology, physics, 2018-11, Vol.102 (4), p.1052-1062

2018

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MRI-based Assessment of 3D Intrafractional Motion of Head and Neck Cancer for Radiation Therapy

International journal of radiation oncology, biology, physics, 2018-02, Vol.100 (2), p.306-316

2018

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A tri-exponential model for intravoxel incoherent motion analysis of the human kidney: in silico and during pharmacological renal perfusion modulation

European journal of radiology, 2017-06, Vol.91, p.168-174

2017

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Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience

Molecular oncology, 2020-09, Vol.14 (9), p.2176-2189

2020

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Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease

Frontiers in physiology, 2022-09, Vol.13, p.942495-942495

2022

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Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck Cancer Radiotherapy

Cancers, 2022-11, Vol.14 (22), p.5501

2022

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Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients

PloS one, 2018-04, Vol.13 (4), p.e0194590-e0194590

2018

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Quantitative assessment of biliary stent artifacts on MR images: Potential implications for target delineation in radiotherapy

Medical physics (Lancaster), 2016-10, Vol.43 (10), p.5603-5615

2016

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Accelerated IVIM-corrected DTI in acute hamstring injury: towards a clinically feasible acquisition time

European radiology experimental, 2024-03, Vol.8 (1), p.38-38, Article 38

2024

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A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response

Physics and imaging in radiation oncology, 2020-07, Vol.15, p.1-7

2020

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Quantitative imaging for radiotherapy purposes

Radiotherapy and oncology, 2020-05, Vol.146, p.66-75

2020

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Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy

Seminars in radiation oncology, 2022-10, Vol.32 (4), p.377-388

2022

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Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator

Radiotherapy and oncology, 2019-04, Vol.133, p.156-162

2019

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Deep learning how to fit an intravoxel incoherent motion model to diffusion‐weighted MRI

Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

Repeatability of IVIM biomarkers from diffusion‐weighted MRI in head and neck: Bayesian probability versus neural network

Optimal acquisition scheme for flow‐compensated intravoxel incoherent motion diffusion‐weighted imaging in the abdomen: An accurate and precise clinically feasible protocol

Contrast‐agent‐based perfusion MRI code repository and testing framework: ISMRM Open Science Initiative for Perfusion Imaging (OSIPI)

Model‐based reconstructions for intravoxel incoherent motion and diffusion tensor imaging parameter map estimations

Improving microstructural integrity, interstitial fluid, and blood microcirculation images from multi-b-value diffusion MRI using physics-informed neural networks in cerebrovascular disease

Cross‐modality deep learning: Contouring of MRI data from annotated CT data only

Visibility and artifacts of gold fiducial markers used for image guided radiation therapy of pancreatic cancer on MRI

Phase I/II Study of LDE225 in Combination with Gemcitabine and Nab-Paclitaxel in Patients with Metastatic Pancreatic Cancer

Optimizing pseudo‐spiral sampling for abdominal DCE MRI using a digital anthropomorphic phantom

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

Evaluation of Six Diffusion-weighted MRI Models for Assessing Effects of Neoadjuvant Chemoradiation in Pancreatic Cancer Patients

MRI-based Assessment of 3D Intrafractional Motion of Head and Neck Cancer for Radiation Therapy

A tri-exponential model for intravoxel incoherent motion analysis of the human kidney: in silico and during pharmacological renal perfusion modulation

Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience

Self-supervised neural network improves tri-exponential intravoxel incoherent motion model fitting compared to least-squares fitting in non-alcoholic fatty liver disease

Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck Cancer Radiotherapy

Comparison of six fit algorithms for the intra-voxel incoherent motion model of diffusion-weighted magnetic resonance imaging data of pancreatic cancer patients

Quantitative assessment of biliary stent artifacts on MR images: Potential implications for target delineation in radiotherapy

Accelerated IVIM-corrected DTI in acute hamstring injury: towards a clinically feasible acquisition time

A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response

Quantitative imaging for radiotherapy purposes

Potential of Deep Learning in Quantitative Magnetic Resonance Imaging for Personalized Radiotherapy

Feasibility and accuracy of quantitative imaging on a 1.5 T MR-linear accelerator

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