Overview
Background
Dr. Javier Urriola Yaksic is a neuroimaging scientist specialising in the application of advanced magnetic resonance imaging (MRI) and artificial intelligence (AI) to understand brain structure, function, and development. His research focuses on developing and validating novel computational tools to analyse complex brain data for clinical neuroscience applications.
Dr. Urriola's work primarily targets the non-invasive mapping of epileptic networks to guide surgical planning, assessing the neurological impacts of traumatic brain injury, and understanding altered brain development in vulnerable populations. His technical expertise encompasses deep learning for medical image segmentation, functional connectivity analysis, and multi-modal neuroimaging techniques such as simultaneous EEG-fMRI.
Keywords: Neuroimaging, MRI, Epilepsy, Neurodevelopment, EEG-FMRI, Functional Connectivity, Medical Imaging Segmentation
Availability
- Dr Javier Urriola Yaksic is:
- Available for supervision
Qualifications
- Masters (Coursework), The University of Queensland
- Doctor of Philosophy, The University of Queensland
Research impacts
Dr. Urriola's research is focused on translating complex brain imaging data into clinically meaningful information that directly benefits patients and clinicians. His work bridges the gap between advanced neuroimaging research and real-world medical challenges, with a primary goal of improving diagnostic precision, prediction and personalising treatment for neurological conditions.
Works
Search Professor Javier Urriola Yaksic’s works on UQ eSpace
2025
Journal Article
Altered functional brain organisation in preterm children: motor task and resting-state fMRI findings at six years
Urriola, Javier, Pannek, Kerstin, Bradford, DanaKai, Fripp, Jurgen, Trinder, Julie, Mistry, Karen, Colditz, Paul B., Boyd, Roslyn, Bora, Samudragupta, George, Joanne and Pagnozzi, Alex (2025). Altered functional brain organisation in preterm children: motor task and resting-state fMRI findings at six years. NeuroImage: Clinical, 48 103906, 103906. doi: 10.1016/j.nicl.2025.103906
2023
Conference Publication
Generalization properties of geometric 3D deep learning models for medical segmentation
Lebrat, Léo, Cruz, Rodrigo Santa, Dorent, Reuben, Yaksic, Javier Urriola, Pagnozzi, Alex, Belous, Gregg, Bourgeat, Pierrick, Fripp, Jurgen, Fookes, Clinton and Salvado, Olivier (2023). Generalization properties of geometric 3D deep learning models for medical segmentation. 20th IEEE International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 18-21 April 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isbi53787.2023.10230549
2023
Conference Publication
Analyzing Task-based fMRI Time Series using Machine Learning
Kuan, Elaine, Vegh, Viktor, O'Brien, Kieran, Hammond, Amanda, Yaksic, Javier Urriola and Reutens, David (2023). Analyzing Task-based fMRI Time Series using Machine Learning. Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting, London, United Kingdom, 7-12 May 2022. Concord, CA United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/1909
2022
Journal Article
Spikes with and without concurrent high-frequency oscillations: topographic relationship and neural correlates using EEG-fMRI
Urriola, Javier, Bollmann, Steffen, Tremayne, Fred, Burianová, Hana, Marstaller, Lars and Reutens, David (2022). Spikes with and without concurrent high-frequency oscillations: topographic relationship and neural correlates using EEG-fMRI. Epilepsy Research, 188 107039, 1-10. doi: 10.1016/j.eplepsyres.2022.107039
2021
Journal Article
Blood-brain barrier dysfunction significantly correlates with serum matrix metalloproteinase-7 (MMP-7) following traumatic brain injury
Nichols, Paul, Urriola, Javier, Miller, Stephanie, Bjorkman, Tracey, Mahady, Kate, Vegh, Viktor, Nasrallah, Fatima and Winter, Craig (2021). Blood-brain barrier dysfunction significantly correlates with serum matrix metalloproteinase-7 (MMP-7) following traumatic brain injury. NeuroImage: Clinical, 31 102741, 102741. doi: 10.1016/j.nicl.2021.102741
2020
Journal Article
Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses
Urriola, Javier, Bollmann, Steffen, Tremayne, Fred, Burianová, Hana, Marstaller, Lars and Reutens, David (2020). Functional connectivity of the irritative zone identified by electrical source imaging, and EEG-correlated fMRI analyses. NeuroImage: Clinical, 28 102440, 102440. doi: 10.1016/j.nicl.2020.102440
2019
Other Outputs
High-frequency oscillations for the non-invasive localisation of the seizure onset zone
Urriola Yaksic, Javier Antonio (2019). High-frequency oscillations for the non-invasive localisation of the seizure onset zone. PhD Thesis, Queensland Brain Institute, The University of Queensland. doi: 10.14264/uql.2019.894
2019
Journal Article
7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy
Thapaliya, Kiran, Urriola, Javier, Barth, Markus, Reutens, David C., Bollmann, Steffen and Vegh, Viktor (2019). 7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy. Magnetic Resonance Imaging, 61, 1-8. doi: 10.1016/j.mri.2019.05.011
2018
Conference Publication
MRI approaches to map focal cortical dysplasia in focal epilepsy using anomalous diffusion and magnetic susceptibility
Yu, Qiang, Reutens, David, Urriola, Javier, Sood, Surabhi and Vegh, Viktor (2018). MRI approaches to map focal cortical dysplasia in focal epilepsy using anomalous diffusion and magnetic susceptibility. ISMRM, Paris, France, 17-21 June 2018.
2016
Journal Article
Echo time-dependent quantitative susceptibility mapping contains information on tissue properties
Sood, Surabhi, Urriola, Javier, Reutens, David C., O'Brien, Kieran, Bollmann, Steffen, Barth, Markus and Vegh, Viktor (2016). Echo time-dependent quantitative susceptibility mapping contains information on tissue properties. Magnetic Resonance in Medicine, 77 (5), 1946-1958. doi: 10.1002/mrm.26281
2016
Conference Publication
Contribution of cortical layer cytoarchitecture to quantitative susceptibility mapping
Sood, Surabhi, Urriola, Javier, Reutens, David C., Bollmann, Steffen, O'Brien, Kieran, Barth, Markus and Vegh, Viktor (2016). Contribution of cortical layer cytoarchitecture to quantitative susceptibility mapping. Organisation of the Human Brain Mapping, Geneva, Switzerland, 26-30 June, 2016.
2016
Conference Publication
Echo time based influences on quantitative susceptibility mapping
Sood, Surabhi, Urriola, Javier, Reutens, David C., Bollmann, Steffen, O'Brien, Kieran, Barth, Markus and Vegh, Viktor (2016). Echo time based influences on quantitative susceptibility mapping. International Symposium on Magnetic Resonance in Medicine, Singapore, May.
2014
Journal Article
Visualization of mouse barrel cortex using ex-vivo track density imaging
Kurniawan, Nyoman D., Richards, Kay L., Yang, Zhengyi, She, David, Ullmann, Jeremy F. P., Moldrich, Randal X., Liu, Sha, Yaksic, Javier Urriola, Leanage, Gayeshika, Kharatishvilia, Irina, Wimmer, Verena, Calamante, Fernando, Galloway, Graham J., Petrou, Steven and Reutens, David C. (2014). Visualization of mouse barrel cortex using ex-vivo track density imaging. NeuroImage, 87, 465-475. doi: 10.1016/j.neuroimage.2013.09.030
2013
Journal Article
Más allá del tensor de difusión: Experiencia preliminar en Tractografía HARDI-CSD y Super-Resolución en 1.5T
Urriola Y, Javier and Wenger, C. Ricardo (2013). Más allá del tensor de difusión: Experiencia preliminar en Tractografía HARDI-CSD y Super-Resolución en 1.5T. Revista Chilena de Radiologia, 19 (4), 166-173. doi: 10.4067/S0717-93082013000400005
Supervision
Availability
- Dr Javier Urriola Yaksic is:
- Available for supervision
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