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Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region

Medical physics (Lancaster), 2018-11, Vol.45 (11), p.5218-5233

2018

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A review of medical image data augmentation techniques for deep learning applications

Journal of medical imaging and radiation oncology, 2021-08, Vol.65 (5), p.545-563

2021

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An Atlas-Based Electron Density Mapping Method for Magnetic Resonance Imaging (MRI)-Alone Treatment Planning and Adaptive MRI-Based Prostate Radiation Therapy

International journal of radiation oncology, biology, physics, 2012-05, Vol.83 (1), p.e5-e11

2012

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Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences

International journal of radiation oncology, biology, physics, 2015-12, Vol.93 (5), p.1144-1153

2015

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Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning

International journal of radiation oncology, biology, physics, 2019-12, Vol.105 (5), p.1137-1150

2019

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Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Medical image analysis, 2014-02, Vol.18 (2), p.359-373

2014

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Pseudo-CT Generation for MRI-Only Radiation Therapy Treatment Planning: Comparison Among Patch-Based, Atlas-Based, and Bulk Density Methods

International journal of radiation oncology, biology, physics, 2019-02, Vol.103 (2), p.479-490

2019

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Substitute CT generation from a single ultra short time echo MRI sequence: preliminary study

Physics in medicine & biology, 2017-04, Vol.62 (8), p.2950-2960

2017

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CAN3D: Fast 3D medical image segmentation via compact context aggregation

Medical image analysis, 2022-11, Vol.82, p.102562-102562, Article 102562

2022

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Robust inverse-consistent affine CT–MR registration in MRI-assisted and MRI-alone prostate radiation therapy

Medical image analysis, 2015-07, Vol.23 (1), p.56-69

2015

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MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection

Medical physics (Lancaster), 2016-05, Vol.43 (5), p.2218-2228

2016

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Feasibility of using a novel automatic cardiac segmentation algorithm in the clinical routine of lung cancer patients

PloS one, 2021-01, Vol.16 (1), p.e0245364-e0245364

2021

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Comparison of Synthetic Computed Tomography Generation Methods, Incorporating Male and Female Anatomical Differences, for Magnetic Resonance Imaging-Only Definitive Pelvic Radiotherapy

Frontiers in oncology, 2022-02, Vol.12, p.822687-822687

2022

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Intensity-based dual model method for generation of synthetic CT images from standard T2-weighted MR images – Generalized technique for four different MR scanners

Radiotherapy and oncology, 2017-12, Vol.125 (3), p.411-419

2017

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Validation of an MRI-only planning workflow for definitive pelvic radiotherapy

Radiation oncology (London, England), 2022-03, Vol.17 (1), p.55-55, Article 55

2022

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In Regard to Shortall et al

International journal of radiation oncology, biology, physics, 2022-03, Vol.112 (3), p.831-833

2022

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Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia

Scientific reports, 2022-10, Vol.12 (1), p.17581-17581, Article 17581

2022

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Reduced Dose Posterior to Prostate Correlates With Increased PSA Progression in Voxel-Based Analysis of 3 Randomized Phase 3 Trials

International journal of radiation oncology, biology, physics, 2020-12, Vol.108 (5), p.1304-1318

2020

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An MRI‐compatible patient rotation system — design, construction, and first organ deformation results

Medical physics (Lancaster), 2017-02, Vol.44 (2), p.581-588

2017

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Investigation of a water equivalent depth method for dosimetric accuracy evaluation of synthetic CT

Physica medica, 2023-01, Vol.105, p.102507-102507, Article 102507

2023

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Fast automated segmentation of multiple objects via spatially weighted shape learning

Physics in medicine & biology, 2016-11, Vol.61 (22), p.8070-8084

2016

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Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images

IEEE transactions on medical imaging, 2012-10, Vol.31 (10), p.1955-1964

2012

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IEEE_Xplore

MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning

Radiotherapy and oncology, 2011-03, Vol.98 (3), p.330-334

2011

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Automatic deep learning-based pleural effusion segmentation in lung ultrasound images

BMC medical informatics and decision making, 2023-11, Vol.23 (1), p.274-274, Article 274

2023

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Investigating the generalisation of an atlas-based synthetic-CT algorithm to another centre and MR scanner for prostate MR-only radiotherapy

Physics in medicine & biology, 2017-11, Vol.62 (24), p.N548-N560

2017

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Comparative study of algorithms for synthetic CT generation from MRI: Consequences for MRI‐guided radiation planning in the pelvic region

A review of medical image data augmentation techniques for deep learning applications

An Atlas-Based Electron Density Mapping Method for Magnetic Resonance Imaging (MRI)-Alone Treatment Planning and Adaptive MRI-Based Prostate Radiation Therapy

Automatic Substitute Computed Tomography Generation and Contouring for Magnetic Resonance Imaging (MRI)-Alone External Beam Radiation Therapy From Standard MRI Sequences

Comparison of Deep Learning-Based and Patch-Based Methods for Pseudo-CT Generation in MRI-Based Prostate Dose Planning

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Pseudo-CT Generation for MRI-Only Radiation Therapy Treatment Planning: Comparison Among Patch-Based, Atlas-Based, and Bulk Density Methods

Substitute CT generation from a single ultra short time echo MRI sequence: preliminary study

CAN3D: Fast 3D medical image segmentation via compact context aggregation

Robust inverse-consistent affine CT–MR registration in MRI-assisted and MRI-alone prostate radiation therapy

MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection

Feasibility of using a novel automatic cardiac segmentation algorithm in the clinical routine of lung cancer patients

Comparison of Synthetic Computed Tomography Generation Methods, Incorporating Male and Female Anatomical Differences, for Magnetic Resonance Imaging-Only Definitive Pelvic Radiotherapy

Intensity-based dual model method for generation of synthetic CT images from standard T2-weighted MR images – Generalized technique for four different MR scanners

Validation of an MRI-only planning workflow for definitive pelvic radiotherapy

In Regard to Shortall et al

Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia

Reduced Dose Posterior to Prostate Correlates With Increased PSA Progression in Voxel-Based Analysis of 3 Randomized Phase 3 Trials

An MRI‐compatible patient rotation system — design, construction, and first organ deformation results

Investigation of a water equivalent depth method for dosimetric accuracy evaluation of synthetic CT

Fast automated segmentation of multiple objects via spatially weighted shape learning

Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images

MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning

Automatic deep learning-based pleural effusion segmentation in lung ultrasound images

Investigating the generalisation of an atlas-based synthetic-CT algorithm to another centre and MR scanner for prostate MR-only radiotherapy

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