Journal Articles
Pagnozzi, Alex M., van Eijk, Liza, Pannek, Kerstin, Boyd, Roslyn N., Saha, Susmita, George, Joanne, Bora, Samudragupta, Bradford, DanaKai, Fahey, Michael, Ditchfield, Michael, Malhotra, Atul, Liley, Helen, Colditz, Paul B., Rose, Stephen and Fripp, Jurgen (2023). Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants. NeuroImage, 267 119815, 1-10. doi: 10.1016/j.neuroimage.2022.119815
Laporta-Hoyos, Olga, Pannek, Kerstin, Pagnozzi, Alex M., Whittingham, Koa, Wotherspoon, Jane, Benfer, Kath, Fiori, Simona, Ware, Robert S. and Boyd, Roslyn N. (2022). Cognitive, academic, executive and psychological functioning in children with spastic motor type cerebral palsy: influence of extent, location, and laterality of brain lesions. European Journal of Paediatric Neurology, 38, 33-46. doi: 10.1016/j.ejpn.2022.02.004
Pagnozzi, Alex M., Pannek, Kerstin, Fripp, Jurgen, Fiori, Simona, Boyd, Roslyn N. and Rose, Stephen (2020). Understanding the impact of bilateral brain injury in children with unilateral cerebral palsy. Human Brain Mapping, 41 (10) hbm.24978, 2794-2807. doi: 10.1002/hbm.24978
Pagnozzi, Alex M., Fripp, Jurgen and Rose, Stephen E. (2019). Quantifying deep grey matter atrophy using automated segmentation approaches: a systematic review of structural MRI studies. NeuroImage, 201 116018, 116018. doi: 10.1016/j.neuroimage.2019.116018
Pagnozzi, Alex M., Conti, Eugenia, Calderoni, Sara, Fripp, Jurgen and Rose, Stephen E. (2018). A systematic review of structural MRI biomarkers in autism spectrum disorder: a machine learning perspective. International Journal of Developmental Neuroscience, 71 (C), 68-82. doi: 10.1016/j.ijdevneu.2018.08.010
Laporta-Hoyos, Olga, Fiori, Simona, Pannek, Kerstin, Ballester-Plané, Júlia, Leiva, David, Reid, Lee B, Pagnozzi, Alex M, Vázquez, Élida, Delgado, Ignacio, Macaya, Alfons, Pueyo, Roser and Boyd, Roslyn N. (2018). Brain lesion scores obtained using a simple semi-quantitative scale from MR imaging are associated with motor function, communication and cognition in dyskinetic cerebral palsy. NeuroImage. Clinical, 19, 892-900. doi: 10.1016/j.nicl.2018.06.015
Pagnozzi, Alex M., Dowson, Nicholas, Doecke, James, Fiori, Simona, Bradley, Andrew P., Boyd, Roslyn N. and Rose, Stephen (2017). Identifying relevant biomarkers of brain injury from structural MRI: validation using automated approaches in children with unilateral cerebral palsy. PLoS One, 12 (8) e0181605, e0181605. doi: 10.1371/journal.pone.0181605
Sale, Martin V., Reid, Lee B., Cocchi, Luca, Pagnozzi, Alex M., Rose, Stephen E. and Mattingley, Jason B. (2017). Brain changes following four weeks of unimanual motor training: evidence from behavior, neural stimulation, cortical thickness, and functional MRI. Human Brain Mapping, 38 (9), 4773-4787. doi: 10.1002/hbm.23710
Reid, Lee B., Pagnozzi, Alex M., Fiori, Simona, Boyd, Roslyn N., Dowson, Nicholas and Rose, Stephen E. (2017). Measuring neuroplasticity associated with cerebral palsy rehabilitation: an MRI based power analysis. International Journal of Developmental Neuroscience, 58 (C), 17-25. doi: 10.1016/j.ijdevneu.2017.01.010
Pagnozzi, Alex M., Shen, Kaikai, Doecke, James D., Boyd, Roslyn N., Bradley, Andrew P., Rose, Stephen and Dowson, Nicholas (2016). Using ventricular modeling to robustly probe significant deep gray matter pathologies: application to cerebral palsy. Human Brain Mapping, 37 (11), 3795-3809. doi: 10.1002/hbm.23276
Pagnozzi, Alex M., Dowson, Nicholas, Fiori, Simona, Doecke, James, Bradley, Andrew P., Boyd, Roslyn N. and Rose, Stephen (2016). Alterations in regional shape on ipsilateral and contralateral cortex contrast in children with unilateral cerebral palsy and are predictive of multiple outcomes. Human Brain Mapping, 37 (10), 3588-3603. doi: 10.1002/hbm.23262
Pagnozzi, Alex M., Dowson, Nicholas, Doecke, James, Fiori, Simona, Bradley, Andrew P., Boyd, Roslyn N. and Rose, Stephen (2016). Automated, quantitative measures of grey and white matter lesion burden correlates with motor and cognitive function in children with unilateral cerebral palsy. NeuroImage: Clinical, 11, 751-759. doi: 10.1016/j.nicl.2016.05.018
Pagnozzi, Alex M., Fiori, Simona, Boyd, Roslyn N., Guzzetta, Andrea, Doecke, James, Gal, Yaniv, Rose, Stephen and Dowson, Nicholas (2015). Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy. Pediatric Radiology, 46 (2), 270-279. doi: 10.1007/s00247-015-3473-y
Pagnozzi, Alex M., Gal, Yaniv, Boydm, Roslyn N., Fiori, Simona, Fripp, Jurgen, Rose, Stephen and Dowson, Nicholas (2015). The need for improved brain lesion segmentation techniques for children with cerebral palsy: A review. International Journal of Developmental Neuroscience, 47 (Part B), 229-246. doi: 10.1016/j.ijdevneu.2015.08.004
Bell, Christopher, Rose, Stephen, Puttick, Simon, Pagnozzi, Alex, Poole, Christopher M., Gal, Yaniv, Thomas, Paul, Fay, Michael, Jeffree, Rosalind L. and Dowson, Nicholas (2014). Dual acquisition of (18)F-FMISO and (18)F-FDOPA. Physics in Medicine and Biology, 59 (14), 3925-3949. doi: 10.1088/0031-9155/59/14/3925
Quirk, Bryden C., McLaughlin, Robert A., Pagnozzi, Alex M., Kennedy, Brendan F., Noble, Peter B. and Sampson, David D. (2014). Optofluidic needle probe integrating targeted delivery of fluid with optical coherence tomography imaging. Optics Letters, 39 (10), 2888-2891. doi: 10.1364/ol.39.002888
Pagnozzi, A. M., Kirk, R. W., Kennedy, B. F., Sampson, D. D. and McLaughlin, R. A. (2013). Automated quantification of lung structures from optical coherence tomography images. Biomedical Optics Express, 4 (11), 2383-2395. doi: 10.1364/BOE.4.002383
Conference Papers
Reid, Lee B. and Pagnozzi, Alex M. (2018). Rapid training data generation for tissue segmentation using global approximate block-matching with self-organizing maps. 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 20 September 2018. Cham: Springer International Publishing. doi: 10.1007/978-3-030-00889-5_13
Reid, Lee B., Gillman, Ashley, Pagnozzi, Alex M., Manjón, José V. and Fripp, Jurgen (2018). MRI denoising and artefact removal using self-organizing maps for fast global block-matching. 4th International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, Granada, Spain, 20 September 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-00500-9_3
Saha, Susmita, Pagnozzi, Alex, George, Joanne, Colditz, Paul B., Boyd, Roslyn, Rose, Stephen, Fripp, Jurgen and Pannek, Kerstin (2018). Investigating brain age deviation in preterm infants: a deep learning approach. First International Workshop DATRA 2018 and Third International Workshop PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, 16 September 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-00807-9_9
Pagnozzi, Alex M., Dowson, Nicholas, Bradley, Andrew P., Boyd, Roslyn N., Bourgeat, Pierrick and Rose, Stephen (2016). Expectation-maximization with image-weighted Markov random fields to handle severe pathology. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, 23-25 November 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/DICTA.2015.7371257
Thesis
Pagnozzi, Alex (2017). Automated injury segmentation to assist in the treatment of children with cerebral palsy. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2017.557