|
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 correctionMoradi, 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 |
|
2025 Journal Article Non-invasive arterial input function estimation using an MRA atlas and machine learningVashistha, 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 |
|
2024 Journal Article Language task-based fMRI analysis using machine learning and deep learningKuan, 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 |
|
2024 Journal Article Three-dimensional EPI with shot-selective CAIPIRIHANA for rapid high-resolution quantitative susceptibility mapping at 3 TTourell, 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 |
|
2024 Journal Article Modular GAN: positron emission tomography image reconstruction using two generative adversarial networksVashistha, 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 |
|
2024 Journal Article Evaluation of deep‐learning TSE images in clinical musculoskeletal imagingVashistha, 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 |
|
2024 Journal Article B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulsesAbbasi‐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 |
|
2024 Journal Article Automated extraction of the arterial input function from brain images for parametric PET studiesMoradi, 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 |
|
2024 Journal Article Improving quantitative susceptibility mapping for the identification of traumatic brain injury neurodegeneration at the individual levelDomínguez 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 |
|
2024 Journal Article A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PETMoradi, 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 |
|
2024 Conference Publication Fast, High-resolution Whole Brain SWI and QSM with CAIPIRINHA 3D-EPI and Deep Learning ReconstructionJin, Jin, Nickel, Dominik, Pfeuffer, Josef, Tourell, Monique, Stewart, Ashley, Bollmann, Steffen, Bollmann, Saskia, Barth, Markus and O‘Brien, Kieran (2024). Fast, High-resolution Whole Brain SWI and QSM with CAIPIRINHA 3D-EPI and Deep Learning Reconstruction. 2024 ISMRM & ISMRT Annual Meeting, Singapore, 4-9 May 2024. Concord, CA United States: ISMRM. doi: 10.58530/2024/2822 |
|
2024 Journal Article ParaPET: non-invasive deep learning method for direct parametric brain PET reconstruction using histoimagesVashistha, 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 |
|
2024 Conference Publication Overcoming challenges of quantitative susceptibility mapping in moderate-to-severe TBI patientsD., Juan Domínguez, Stewart, Ashley, Burmester, Alex, Akhlaghi, Hamed, O’Brien, Kieran, Bollmann, Steffen and Caeyenberghs, Karen (2024). Overcoming challenges of quantitative susceptibility mapping in moderate-to-severe TBI patients. 2024 ISMRM & ISMRT Annual Meeting, Singapore, 4-9 May 2024. Concord, CA United States: ISMRM. doi: 10.58530/2024/1622 |
|
2023 Other Outputs Deep-learning-enabled differentiation between intraprostatic gold fiducial markers and calcification in quantitative susceptibility mappingStewart, Ashley Wilton, Goodwin, Jonathan, Richardson, Matthew, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Barth, Markus and Bollmann, Steffen (2023). Deep-learning-enabled differentiation between intraprostatic gold fiducial markers and calcification in quantitative susceptibility mapping. |
|
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 |
|
2023 Journal Article NeXtQSM—A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid dataCognolato, 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 |
|
2023 Conference Publication Development of a Quantitative Susceptibility Mapping (QSM) phantom for validation of acquisition strategies and post-processing tools at 3 THooper, Padriac, Tourell, Monique, O'Brien, Kieran, Jin, Jin, Robinson, Simon and Barth, Markus (2023). Development of a Quantitative Susceptibility Mapping (QSM) phantom for validation of acquisition strategies and post-processing tools at 3 T. Joint Annual Meeting ISMRM-ESMRMB and ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Berkeley, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/1983 |
|
2023 Conference Publication Evaluation of the REFILL dynamic distortion correction method for fMRIRobinson, Simon, Bachrata, Beata, Eckstein, Korbinian, Dymerska, Barbara, Bollmann, Saskia, Bollmann, Steffen, Hodono, Shota, Cloos, Martijn, Tourell, Monique, Jin, Jin, O'Brien, Kieran, Reutens, David, Trattnig, Siegfried, Enzinger, Christian and Barth, Markus (2023). Evaluation of the REFILL dynamic distortion correction method for fMRI. Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, London, United Kingdom, 7 - 12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/2807 |
|
2022 Journal Article The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary fieldCoorey, 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 |
|
2022 Conference Publication Quantitative susceptibility mapping as an alternative to CT for localizing gold intraprostatic fiducial markersStewart, Ashley Wilton, Goodwin, Jonathan, Robinson, Simon Daniel, O’Brien, Kieran, Jin, Jin, Barth, Markus and Bollmann, Stefan (2022). Quantitative susceptibility mapping as an alternative to CT for localizing gold intraprostatic fiducial markers. ISMRM 2022, London, United Kingdom, 7-12 May 2022. Concord, CA USA: International Society for Magnetic Resonance in Medicine. |
