Showing 50 publications by Daniel Bulte
Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity
Hayes G, Bulte D, Moia S, Craig M, Chappell M et al. (2024)
BibTeX
@misc{bayesianmodelli-2024/,
title={Bayesian Modelling Approaches for Breath-Hold Induced Cerebrovascular Reactivity},
author={Hayes G, Bulte D, Moia S, Craig M, Chappell M et al.},
year = "2024"
}
The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing
Wang C, Jobbins L, Reid G, Hobden G, Mackay C et al. (2023), Alzheimer's & Dementia, 19(S17)
BibTeX
@article{therelationship-2023/12,
title={The relationships between hippocampal cerebrovascular reactivity, hippocampal volume, and episodic memory in healthy ageing},
author={Wang C, Jobbins L, Reid G, Hobden G, Mackay C et al.},
journal={Alzheimer's & Dementia},
volume={19},
publisher={Wiley},
year = "2023"
}
The impact of Alzheimer's disease risk factors on the pupillary light response
Sparks S, Pinto J, Hayes G, Spitschan M & Bulte DP (2023), Frontiers in Neuroscience, 17
BibTeX
@article{theimpactofalzh-2023/8,
title={The impact of Alzheimer's disease risk factors on the pupillary light response},
author={Sparks S, Pinto J, Hayes G, Spitschan M & Bulte DP},
journal={Frontiers in Neuroscience},
volume={17},
number={1248640},
publisher={Frontiers Media},
year = "2023"
}
Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI
Pinto J, Blockley NP, Harkin JW & Bulte DP (2023), Frontiers in Physiology, 14
BibTeX
@article{modellingspatio-2023/5,
title={Modelling spatiotemporal dynamics of cerebral blood flow using multiple-timepoint arterial spin labelling MRI},
author={Pinto J, Blockley NP, Harkin JW & Bulte DP},
journal={Frontiers in Physiology},
volume={14},
number={1142359},
publisher={Frontiers Media},
year = "2023"
}
Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.
Triay Bagur A, McClymont D, Hutton C, Borghetto A, Gyngell ML et al. (2023), Magnetic resonance imaging, 97, 102-111
BibTeX
@article{estimationoffie-2023/4,
title={Estimation of field inhomogeneity map following magnitude-based ambiguity-resolved water-fat separation.},
author={Triay Bagur A, McClymont D, Hutton C, Borghetto A, Gyngell ML et al.},
journal={Magnetic resonance imaging},
volume={97},
pages={102-111},
year = "2023"
}
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{supplementaryda-2023/3,
title={Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{datafrommitocho-2023/3,
title={Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
Supplementary Methods from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{supplementaryme-2023/3,
title={Supplementary Methods from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{supplementaryda-2023/3,
title={Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{supplementaryda-2023/3,
title={Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{supplementaryda-2023/3,
title={Supplementary Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
Supplementary Methods from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{supplementaryme-2023/3,
title={Supplementary Methods from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2023)
BibTeX
@misc{datafrommitocho-2023/3,
title={Data from Mitochondrial Inhibitor Atovaquone Increases Tumor Oxygenation and Inhibits Hypoxic Gene Expression in Patients with Non–Small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
year = "2023"
}
A systematic review of the association between dementia risk factors and cerebrovascular reactivity
Wang C, Reid G, Mackay CE, Hayes G, Bulte DP et al. (2023), Neuroscience & Biobehavioral Reviews, 148
BibTeX
@article{asystematicrevi-2023/3,
title={A systematic review of the association between dementia risk factors and cerebrovascular reactivity},
author={Wang C, Reid G, Mackay CE, Hayes G, Bulte DP et al.},
journal={Neuroscience & Biobehavioral Reviews},
volume={148},
number={105140},
publisher={Elsevier },
year = "2023"
}
Chapter 9 Pancreas ectopic fat imaging-based quantification
Bagur AT, Robson M, Bulte D & Brady M (2023), 117-130
BibTeX
@misc{chapterpancreas-2023/,
title={Chapter 9 Pancreas ectopic fat imaging-based quantification},
author={Bagur AT, Robson M, Bulte D & Brady M},
year = "2023"
}
Comparison of liver iron concentration calculated from R2* at 1.5 T and 3 T
Pickles E, Kumar S, Brady M, Telford A, Pavlides M et al. (2022), Abdominal Radiology, 48, 865-873
BibTeX
@article{comparisonofliv-2022/12,
title={Comparison of liver iron concentration calculated from R2* at 1.5 T and 3 T
},
author={Pickles E, Kumar S, Brady M, Telford A, Pavlides M et al.},
journal={Abdominal Radiology},
volume={48},
pages={865-873},
publisher={Springer},
year = "2022"
}
Oxygen-enhanced MRI and radiotherapy in patients with oropharyngeal squamous cell carcinoma
Bluemke E, Bertrand A, Chu K-Y, Syed N, Murchison AG et al. (2022), Clinical and Translational Radiation Oncology, 39
BibTeX
@article{oxygenenhancedm-2022/12,
title={Oxygen-enhanced MRI and radiotherapy in patients with oropharyngeal squamous cell carcinoma},
author={Bluemke E, Bertrand A, Chu K-Y, Syed N, Murchison AG et al.},
journal={Clinical and Translational Radiation Oncology},
volume={39},
number={100563},
publisher={Elsevier},
year = "2022"
}
Vascular smooth muscle cell dysfunction in neurodegeneration
Hayes G, Pinto J, Sparks SN, Wang C, Suri S et al. (2022), Frontiers in Neuroscience, 16
BibTeX
@article{vascularsmoothm-2022/11,
title={Vascular smooth muscle cell dysfunction in neurodegeneration},
author={Hayes G, Pinto J, Sparks SN, Wang C, Suri S et al.},
journal={Frontiers in Neuroscience},
volume={16},
number={1010164},
publisher={Frontiers Media},
year = "2022"
}
Correction to: PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex.
Martin JT, Pinto J, Bulte D & Spitschan M (2022), Behavior research methods, 54(5), 2622-2624
BibTeX
@misc{correctiontopyp-2022/10,
title={Correction to: PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex.},
author={Martin JT, Pinto J, Bulte D & Spitschan M},
year = "2022"
}
Using Variable Flip Angle (VFA) and Modified Look-Locker Inversion Recovery (MOLLI) T1 mapping in clinical OE-MRI.
Bluemke E, Bertrand A, Chu K-Y, Syed N, Murchison AG et al. (2022), Magnetic resonance imaging, 89, 92-99
BibTeX
@article{usingvariablefl-2022/6,
title={Using Variable Flip Angle (VFA) and Modified Look-Locker Inversion Recovery (MOLLI) T1 mapping in clinical OE-MRI.},
author={Bluemke E, Bertrand A, Chu K-Y, Syed N, Murchison AG et al.},
journal={Magnetic resonance imaging},
volume={89},
pages={92-99},
year = "2022"
}
Modeling the effect of hyperoxia on the spin–lattice relaxation rate R1 of tissues
Bluemke E, Stride E & Bulte DP (2022), Magnetic Resonance in Medicine, 88(4), 1867-1885
BibTeX
@article{modelingtheeffe-2022/6,
title={Modeling the effect of hyperoxia on the spin–lattice relaxation rate R1 of tissues},
author={Bluemke E, Stride E & Bulte DP},
journal={Magnetic Resonance in Medicine},
volume={88},
pages={1867-1885},
publisher={Wiley},
year = "2022"
}
Estimation of Field Inhomogeneity Map Following Magnitude-Based Ambiguity-Resolved Water-Fat Separation
Bagur AT, McClymont D, Hutton C, Borghetto A, Gyngell ML et al. (2022)
BibTeX
@misc{estimationoffie-2022/6,
title={Estimation of Field Inhomogeneity Map Following Magnitude-Based Ambiguity-Resolved Water-Fat Separation},
author={Bagur AT, McClymont D, Hutton C, Borghetto A, Gyngell ML et al.},
year = "2022"
}
Determination of oxygen relaxivity in oxygen nanobubbles at 3 and 7 Tesla
Bluemke E, Young LAJ, Owen J, Smart S, Kinchesh P et al. (2022), Magnetic Resonance Materials in Physics, Biology and Medicine, 35(5), 817-826
BibTeX
@article{determinationof-2022/4,
title={Determination of oxygen relaxivity in oxygen nanobubbles at 3 and 7 Tesla},
author={Bluemke E, Young LAJ, Owen J, Smart S, Kinchesh P et al.},
journal={Magnetic Resonance Materials in Physics, Biology and Medicine},
volume={35},
pages={817-826},
publisher={Springer},
year = "2022"
}
Pancreas MRI segmentation into head, body, and tail enables regional quantitative analysis of heterogeneous disease
Triay Bagur A, Aljabar P, Ridgway GR, Brady M & Bulte D (2022), Journal of Magnetic Resonance Imaging, 56(4), 997-1008
BibTeX
@article{pancreasmrisegm-2022/2,
title={Pancreas MRI segmentation into head, body, and tail enables regional quantitative analysis of heterogeneous disease},
author={Triay Bagur A, Aljabar P, Ridgway GR, Brady M & Bulte D},
journal={Journal of Magnetic Resonance Imaging},
volume={56},
pages={997-1008},
publisher={Wiley},
year = "2022"
}
Pancreas ectopic fat: imaging-based quantification
Triay Bagur A, Robson M, Bulte D & Brady M (2022), 117-130
BibTeX
@misc{pancreasectopic-2022/1,
title={Pancreas ectopic fat: imaging-based quantification},
author={Triay Bagur A, Robson M, Bulte D & Brady M},
year = "2022"
}
Predicting 3D Cardiac Deformations with Point Cloud Autoencoders
Beetz M, Ossenberg-Engels J, Banerjee A & Grau V (2022), 219-228
BibTeX
@misc{predictingdcard-2022/,
title={Predicting 3D Cardiac Deformations with Point Cloud Autoencoders},
author={Beetz M, Ossenberg-Engels J, Banerjee A & Grau V},
year = "2022"
}
Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders
Beetz M, Banerjee A & Grau V (2022), 75-83
BibTeX
@misc{generatingsubpo-2022/,
title={Generating Subpopulation-Specific Biventricular Anatomy Models Using Conditional Point Cloud Variational Autoencoders},
author={Beetz M, Banerjee A & Grau V},
year = "2022"
}
PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex
Martin J, Pinto J, Bulte D & Spitschan M (2021), Behavior Research Methods, 54, 2720-2739
BibTeX
@article{pyplraversatile-2021/12,
title={PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex},
author={Martin J, Pinto J, Bulte D & Spitschan M},
journal={Behavior Research Methods},
volume={54},
pages={2720-2739},
publisher={Springer},
year = "2021"
}
PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex.
Martin JT, Pinto J, Bulte D & Spitschan M (2021), Behavior research methods, 54(6), 2720-2739
BibTeX
@article{pyplraversatile-2021/12,
title={PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex.},
author={Martin JT, Pinto J, Bulte D & Spitschan M},
journal={Behavior research methods},
volume={54},
pages={2720-2739},
year = "2021"
}
Emerging artificial intelligence applications in liver magnetic resonance imaging.
Hill CE, Biasiolli L, Robson MD, Grau V & Pavlides M (2021), World journal of gastroenterology, 27(40), 6825-6843
BibTeX
@article{emergingartific-2021/10,
title={Emerging artificial intelligence applications in liver magnetic resonance imaging.},
author={Hill CE, Biasiolli L, Robson MD, Grau V & Pavlides M},
journal={World journal of gastroenterology},
volume={27},
pages={6825-6843},
year = "2021"
}
A simplified empirical model to estimate oxygen relaxivity at different magnetic fields
Bluemke E, Stride E & Bulte D (2021), NMR in Biomedicine, 35(2)
BibTeX
@article{asimplifiedempi-2021/10,
title={A simplified empirical model to estimate oxygen relaxivity at different magnetic fields},
author={Bluemke E, Stride E & Bulte D},
journal={NMR in Biomedicine},
volume={35},
number={e4625},
publisher={Wiley},
year = "2021"
}
A general model to calculate the spin–lattice relaxation rate (R1) of blood, accounting for hematocrit, oxygen saturation, oxygen partial pressure, and magnetic field strength under hyperoxic conditions
Bluemke E, Stride E & Bulte DP (2021), Journal of Magnetic Resonance Imaging, 55(5), 1428-1439
BibTeX
@article{ageneralmodelto-2021/10,
title={A general model to calculate the spin–lattice relaxation rate (R1) of blood, accounting for hematocrit, oxygen saturation, oxygen partial pressure, and magnetic field strength under hyperoxic conditions},
author={Bluemke E, Stride E & Bulte DP},
journal={Journal of Magnetic Resonance Imaging},
volume={55},
pages={1428-1439},
publisher={Wiley},
year = "2021"
}
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
Xue W, Li J, Hu Z, Kerfoot E, Clough J et al. (2021), IEEE journal of biomedical and health informatics, 25(9), 3541-3553
BibTeX
@article{leftventriclequ-2021/9,
title={Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.},
author={Xue W, Li J, Hu Z, Kerfoot E, Clough J et al.},
journal={IEEE journal of biomedical and health informatics},
volume={25},
pages={3541-3553},
year = "2021"
}
Study protocol: the Heart and Brain study
Suri S, Bulte D, Chiesa ST, Ebmeier KP, Jezzard P et al. (2021), Frontiers in Physiology, 12(2021)
BibTeX
@article{studyprotocolth-2021/3,
title={Study protocol: the Heart and Brain study},
author={Suri S, Bulte D, Chiesa ST, Ebmeier KP, Jezzard P et al.},
journal={Frontiers in Physiology},
volume={12},
number={643725},
publisher={Frontiers Media},
year = "2021"
}
Mitochondrial inhibitor atovaquone increases tumor oxygenation and inhibits hypoxic gene expression in patients with non-small cell lung cancer
Skwarski M, McGowan D, Belcher E, Di Chiara F, Stavroulias D et al. (2021), Clinical Cancer Research, 27(9), 2459-2469
BibTeX
@article{mitochondrialin-2021/2,
title={Mitochondrial inhibitor atovaquone increases tumor oxygenation and inhibits hypoxic gene expression in patients with non-small cell lung cancer},
author={Skwarski M, McGowan D, Belcher E, Di Chiara F, Stavroulias D et al.},
journal={Clinical Cancer Research},
volume={27},
pages={2459-2469},
publisher={American Association for Cancer Research},
year = "2021"
}
Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model
Banerjee A, Zacur E, Choudhury RP & Grau V (2021), 12722 LNCS, 201-209
BibTeX
@misc{optimisedmisali-2021/1,
title={Optimised Misalignment Correction from Cine MR Slices Using Statistical Shape Model},
author={Banerjee A, Zacur E, Choudhury RP & Grau V},
year = "2021"
}
Pancreas MRI segmentation into head, body, and tail enables regional quantitative analysis of heterogeneous disease
Bagur AT, Aljabar P, Ridgway G, Brady M & Bulte D (2021)
BibTeX
@misc{pancreasmrisegm-2021/,
title={Pancreas MRI segmentation into head, body, and tail enables regional quantitative analysis of heterogeneous disease},
author={Bagur AT, Aljabar P, Ridgway G, Brady M & Bulte D},
year = "2021"
}
Slice-to-Volume Registration Enables Automated Pancreas MRI Quantification in UK Biobank
Bagur AT, Aljabar P, Arya Z, McGonigle J, Brady SM et al. (2021), 12722, 210-223
BibTeX
@inproceedings{slicetovolumere-2021/,
title={Slice-to-Volume Registration Enables Automated Pancreas MRI Quantification in UK Biobank},
author={Bagur AT, Aljabar P, Arya Z, McGonigle J, Brady SM et al.},
pages={210-223},
year = "2021"
}
Pancreas Volumetry in UK Biobank: Comparison of Models and Inference at Scale
Owler J, Bagur AT, Marriage S, Arya Z, Aljabar P et al. (2021), 12722, 265-279
BibTeX
@inproceedings{pancreasvolumet-2021/,
title={Pancreas Volumetry in UK Biobank: Comparison of Models and Inference at Scale},
author={Owler J, Bagur AT, Marriage S, Arya Z, Aljabar P et al.},
pages={265-279},
year = "2021"
}
A novel "chirp" stimulus protocol for assessing photoreceptor function across wavelength, time, and contrast
Martin J, Bulte D & Spitschan M (2021), PERCEPTION, 50(6), 589-590
BibTeX
@inproceedings{anovelchirpstim-2021/,
title={A novel "chirp" stimulus protocol for assessing photoreceptor function across wavelength, time, and contrast},
author={Martin J, Bulte D & Spitschan M},
pages={589-590},
year = "2021"
}
Repurposing Atovaquone as a Tumor Hypoxia Modifier: A Window of Opportunity Study in Patients with Resectable Non-small Cell Lung Cancer
Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al. (2020), International Journal of Radiation Oncology • Biology • Physics, 108(3), s173
BibTeX
@inproceedings{repurposingatov-2020/11,
title={Repurposing Atovaquone as a Tumor Hypoxia Modifier: A Window of Opportunity Study in Patients with Resectable Non-small Cell Lung Cancer},
author={Skwarski M, McGowan DR, Belcher E, Di Chiara F, Stavroulias D et al.},
pages={s173},
year = "2020"
}
A prospective study of diffusion-weighted magnetic resonance imaging as an early prognostic biomarker in chemoradiotherapy in squamous cell carcinomas of the anus
Muirhead R, Bulte D, Cooke R, Chu K-Y, Durrant L et al. (2020), Clinical Oncology, 32(12), 874-883
BibTeX
@article{aprospectivestu-2020/10,
title={A prospective study of diffusion-weighted magnetic resonance imaging as an early prognostic biomarker in chemoradiotherapy in squamous cell carcinomas of the anus},
author={Muirhead R, Bulte D, Cooke R, Chu K-Y, Durrant L et al.},
journal={Clinical Oncology},
volume={32},
pages={874-883},
publisher={Elsevier},
year = "2020"
}
The ‘Digital Twin’ to enable the vision of precision cardiology
Corral-Acero J, Margara F, Marciniak M, Rodero C, Loncaric F et al. (2020), European Heart Journal
BibTeX
@article{thedigitaltwint-2020/3,
title={The ‘Digital Twin’ to enable the vision of precision cardiology},
author={Corral-Acero J, Margara F, Marciniak M, Rodero C, Loncaric F et al.},
journal={European Heart Journal},
number={ehaa159},
publisher={Oxford University Press },
year = "2020"
}
Oxygen-enhanced MRI MOLLI T1 mapping during chemoradiotherapy in anal squamous cell carcinoma
Bluemke E, Bulte D, Bertrand A, George B, Cooke R et al. (2020), Clinical and Translational Radiation Oncology, 22, 44-49
BibTeX
@article{oxygenenhancedm-2020/3,
title={Oxygen-enhanced MRI MOLLI T1 mapping during chemoradiotherapy in anal squamous cell carcinoma},
author={Bluemke E, Bulte D, Bertrand A, George B, Cooke R et al.},
journal={Clinical and Translational Radiation Oncology},
volume={22},
pages={44-49},
publisher={Elsevier},
year = "2020"
}
Cerebrovascular Reactivity Mapping Without Gas Challenges: A Methodological Guide.
Pinto J, Bright MG, Bulte DP & Figueiredo P (2020), Frontiers in physiology, 11, 608475
BibTeX
@article{cerebrovascular-2020/1,
title={Cerebrovascular Reactivity Mapping Without Gas Challenges: A Methodological Guide.},
author={Pinto J, Bright MG, Bulte DP & Figueiredo P},
journal={Frontiers in physiology},
volume={11},
pages={608475},
year = "2020"
}
Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study
Bagur AT, Ridgway G, McGonigle J, Brady SM & Bulte D (2020), 1248, 131-142
BibTeX
@inproceedings{pancreassegment-2020/,
title={Pancreas Segmentation-Derived Biomarkers: Volume and Shape Metrics in the UK Biobank Imaging Study},
author={Bagur AT, Ridgway G, McGonigle J, Brady SM & Bulte D},
pages={131-142},
year = "2020"
}
Point-cloud method for automated 3D coronary tree reconstruction from multiple non-simultaneous angiographic projections
Banerjee A, Galassi F, Zacur E, De Maria GL, Choudhury R et al. (2019), IEEE Transactions on Medical Imaging, 39(4), 1278-1290
BibTeX
@article{pointcloudmetho-2019/10,
title={Point-cloud method for automated 3D coronary tree reconstruction from multiple non-simultaneous angiographic projections},
author={Banerjee A, Galassi F, Zacur E, De Maria GL, Choudhury R et al.},
journal={IEEE Transactions on Medical Imaging},
volume={39},
pages={1278-1290},
publisher={IEEE},
year = "2019"
}
A prospective study of diffusion-weighted magnetic resonance imaging for predicting outcome following chemoradiotherapy, in squamous cell carcinomas of the anus
Muirhead R, Bulte D, Cooke R, Chu K-Y, Durrant L et al. (2019), Annals of Oncology, 30(S5)
BibTeX
@inproceedings{aprospectivestu-2019/10,
title={A prospective study of diffusion-weighted magnetic resonance imaging for predicting outcome following chemoradiotherapy, in squamous cell carcinomas of the anus},
author={Muirhead R, Bulte D, Cooke R, Chu K-Y, Durrant L et al.},
booktitle={ESMO Congress 2019},
year = "2019"
}
Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging
Gleeson F, Bulte D, Doganay O, Matin T, Rahman N et al. (2019), European Radiology, 30(2)
BibTeX
@article{delayedventilat-2019/9,
title={Delayed ventilation assessment using fast dynamic hyperpolarised Xenon-129 magnetic resonance imaging},
author={Gleeson F, Bulte D, Doganay O, Matin T, Rahman N et al.},
journal={European Radiology},
volume={30},
number={1145-1155},
publisher={Springer},
year = "2019"
}
Magnetic resonance imaging of oxygen microbubbles
Thompson E, Smart S, Kinchesh P, Bulte D & Stride E (2019), IET Healthcare Technology Letters, 6(5), 138-142
BibTeX
@article{magneticresonan-2019/6,
title={Magnetic resonance imaging of oxygen microbubbles},
author={Thompson E, Smart S, Kinchesh P, Bulte D & Stride E},
journal={IET Healthcare Technology Letters},
volume={6},
pages={138-142},
publisher={Institution of Engineering and Technology},
year = "2019"
}