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2025

Journal Article

Model selection for dynamic PET compartmental modelling of 18F-FDG uptake using a long axial field-of-view PET scanner with delay and motion correction

Moradi, Hamed, Vashistha, Rajat, O’Brien, Kieran, Hammond, Amanda, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2025). Model selection for dynamic PET compartmental modelling of 18F-FDG uptake using a long axial field-of-view PET scanner with delay and motion correction. EJNMMI Research, 15 (1) 81, 81-1. doi: 10.1186/s13550-025-01277-9

Model selection for dynamic PET compartmental modelling of 18F-FDG uptake using a long axial field-of-view PET scanner with delay and motion correction

2025

Journal Article

Non-invasive arterial input function estimation using an MRA atlas and machine learning

Vashistha, Rajat, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2025). Non-invasive arterial input function estimation using an MRA atlas and machine learning. EJNMMI Research, 15 (1) 58, 58-1. doi: 10.1186/s13550-025-01253-3

Non-invasive arterial input function estimation using an MRA atlas and machine learning

2024

Journal Article

Language task-based fMRI analysis using machine learning and deep learning

Kuan, Elaine, Vegh, Viktor, Phamnguyen, John, O’Brien, Kieran, Hammond, Amanda and Reutens, David (2024). Language task-based fMRI analysis using machine learning and deep learning. Frontiers in Radiology, 4 1495181, 1-15. doi: 10.3389/fradi.2024.1495181

Language task-based fMRI analysis using machine learning and deep learning

2024

Journal Article

Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 T

Tourell, Monique, Jin, Jin, Bachrata, Beata, Stewart, Ashley, Ropele, Stefan, Enzinger, Christian, Bollmann, Saskia, Bollmann, Steffen, Robinson, Simon Daniel, O'Brien, Kieran and Barth, Markus (2024). Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 T. Magnetic Resonance in Medicine, 92 (3), 997-1010. doi: 10.1002/mrm.30101

Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 T

2024

Journal Article

Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks

Vashistha, Rajat, Vegh, Viktor, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran and Reutens, David (2024). Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks. Frontiers in Radiology, 4 1466498, 1-16. doi: 10.3389/fradi.2024.1466498

Modular GAN: positron emission tomography image reconstruction using two generative adversarial networks

2024

Journal Article

Evaluation of deep‐learning TSE images in clinical musculoskeletal imaging

Vashistha, Rajat, Almuqbel, Mustafa M, Palmer, Nick J, Keenan, Ross J, Gilbert, Kevin, Wells, Scott, Lynch, Andrew, Li, Andrew, Kingston‐Smith, Stephen, Melzer, Tracy R, Koerzdoerfer, Gregor and O'Brien, Kieran (2024). Evaluation of deep‐learning TSE images in clinical musculoskeletal imaging. Journal of Medical Imaging and Radiation Oncology, 68 (5), 556-563. doi: 10.1111/1754-9485.13714

Evaluation of deep‐learning TSE images in clinical musculoskeletal imaging

2024

Journal Article

B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulses

Abbasi‐Rad, Shahrokh, Cloos, Martijn A., Jin, Jin, O'Brien, Kieran and Barth, Markus (2024). B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulses. Magnetic Resonance in Medicine, 91 (6), 2508-2518. doi: 10.1002/mrm.30024

B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulses

2024

Journal Article

Automated extraction of the arterial input function from brain images for parametric PET studies

Moradi, Hamed, Vashistha, Rajat, Ghosh, Soumen, O’Brien, Kieran, Hammond, Amanda, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2024). Automated extraction of the arterial input function from brain images for parametric PET studies. EJNMMI Research, 14 (1) 33, 1-18. doi: 10.1186/s13550-024-01100-x

Automated extraction of the arterial input function from brain images for parametric PET studies

2024

Journal Article

Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level

Domínguez D, Juan F, Stewart, Ashley, Burmester, Alex, Akhlaghi, Hamed, O'Brien, Kieran, Bollmann, Steffen and Caeyenberghs, Karen (2024). Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level. Zeitschrift für Medizinische Physik. doi: 10.1016/j.zemedi.2024.01.001

Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual level

2024

Journal Article

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

Moradi, Hamed, Vashistha, Rajat, O’Brien, Kieran, Hammond, Amanda, Vegh, Viktor and Reutens, David (2024). A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET. EJNMMI Research, 14 (1) 1, 1-14. doi: 10.1186/s13550-023-01061-7

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

2024

Journal Article

ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages

Vashistha, Rajat, Moradi, Hamed, Hammond, Amanda, O’Brien, Kieran, Rominger, Axel, Sari, Hasan, Shi, Kuangyu, Vegh, Viktor and Reutens, David (2024). ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages. EJNMMI Research, 14 (1) 10, 1-13. doi: 10.1186/s13550-024-01072-y

ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimages

2023

Journal Article

Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL)

Robinson, Simon Daniel, Bachrata, Beata, Eckstein, Korbinian, Bollmann, Saskia, Bollmann, Steffen, Dymerska, Barbara, Hodono, Shota, Cloos, Martijn, Tourell, Monique, Jin, Jin, O'Brien, Kieran, Reutens, David C., Trattnig, Siegfried, Enzinger, Christian and Barth, Markus (2023). Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL). Human Brain Mapping, 44 (15), 5095-5112. doi: 10.1002/hbm.26440

Improved dynamic distortion correction for fMRI using single‐echo EPI and a readout‐reversed first image (REFILL)

2023

Journal Article

NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data

Cognolato, Francesco, O’Brien, Kieran, Jin, Jin, Robinson, Simon, Laun, Frederik B., Barth, Markus and Bollmann, Steffen (2023). NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data. Medical Image Analysis, 84 102700, 102700. doi: 10.1016/j.media.2022.102700

NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data

2022

Journal Article

The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

Coorey, Genevieve, Figtree, Gemma A., Fletcher, David F., Snelson, Victoria J., Vernon, Stephen Thomas, Winlaw, David, Grieve, Stuart M., McEwan, Alistair, Yang, Jean Yee Hwa, Qian, Pierre, O’Brien, Kieran, Orchard, Jessica, Kim, Jinman, Patel, Sanjay and Redfern, Julie (2022). The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field. npj Digital Medicine, 5 (1) 126, 1-12. doi: 10.1038/s41746-022-00640-7

The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

2021

Journal Article

Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions

Moinian, Shahrzad, Vegh, Viktor, O’Brien, Kieran and Reutens, David (2021). Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions. Brain Structure and Function, 227 (1), 313-329. doi: 10.1007/s00429-021-02402-9

Magnetic resonance fingerprinting residual signals can disassociate human grey matter regions

2021

Journal Article

QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping

Stewart, Ashley Wilton, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Widhalm, Georg, Hangel, Gilbert, Walls, Angela, Goodwin, Jonathan, Eckstein, Korbinian, Tourell, Monique, Morgan, Catherine, Narayanan, Aswin, Barth, Markus and Bollmann, Steffen (2021). QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping. Magnetic Resonance in Medicine, 87 (3), 1289-1300. doi: 10.1002/mrm.29048

QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping

2021

Journal Article

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation

Abbasi‐Rad, Shahrokh, O’Brien, Kieran, Kelly, Samuel, Vegh, Viktor, Rodell, Anders, Tesiram, Yasvir, Jin, Jin, Barth, Markus and Bollmann, Steffen (2021). Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation. Magnetic Resonance in Medicine, 85 (5), 2462-2476. doi: 10.1002/mrm.28590

Improving FLAIR SAR efficiency at 7T by adaptive tailoring of adiabatic pulse power through deep learning estimation

2020

Journal Article

Simultaneous BOLD-fMRI and constant infusion FDG-PET data of the resting human brain

Jamadar, Sharna D., Ward, Phillip G. D., Close, Thomas G., Fornito, Alex, Premaratne, Malin, O’Brien, Kieran, Stäb, Daniel, Chen, Zhaolin, Shah, N. Jon and Egan, Gary F. (2020). Simultaneous BOLD-fMRI and constant infusion FDG-PET data of the resting human brain. Scientific Data, 7 (1) 363, 363. doi: 10.1038/s41597-020-00699-5

Simultaneous BOLD-fMRI and constant infusion FDG-PET data of the resting human brain

2019

Journal Article

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping

Bollmann, Steffen, Rasmussen, Kasper Gade Bøtker, Kristensen, Mads, Blendal, Rasmus Guldhammer, Østergaard, Lasse Riis, Plocharski, Maciej, O'Brien, Kieran, Langkammer, Christian, Janke, Andrew and Barth, Markus (2019). DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping. NeuroImage, 195, 373-383. doi: 10.1016/j.neuroimage.2019.03.060

DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping

2019

Journal Article

A numerical and experimental study of RF shimming in the presence of hip prostheses using adaptive SAR at 3 T

Destruel, Aurelien, Fuentes, Miguel, Weber, Ewald, O'Brien, Kieran, Jin, Jin, Liu, Feng, Barth, Markus and Crozier, Stuart (2019). A numerical and experimental study of RF shimming in the presence of hip prostheses using adaptive SAR at 3 T. Magnetic Resonance in Medicine, 81 (6), 3826-3839. doi: 10.1002/mrm.27688

A numerical and experimental study of RF shimming in the presence of hip prostheses using adaptive SAR at 3 T