Pesce, Emanuele and Montana, Giovanni (2023) Learning multi-agent coordination through connectivity-driven communication. Machine Learning, 112 . pp. 483-514. doi:10.1007/s10994-022-06286-6 ISSN 2632-2153.

Gao, Mingqi, Han, Jungong, Zheng, Feng, Yu, James J.Q. and Montana, Giovanni (2023) Video Object Segmentation using Point-based Memory Network. Pattern Recognition, 134 . 109073. doi:10.1016/j.patcog.2022.109073 ISSN 0031-3203.

Byrne, Nick, Clough, James R., Valverde, Israel, Montana, Giovanni and King, Andrew P. (2023) A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. IEEE Transactions on Medical Imaging, 42 (1). pp. 3-14. doi:10.1109/tmi.2022.3203309 ISSN 0278-0062.

Pollard, Rebecca, Chen, Pei Jung, Mackes, Nuria, Lawrence, Andrew J., Ma, Xuemei, Matter, Maryam, Kretzer, Svenja, Morgan, Craig, Harding, Seeromanie, Schumann, Gunter, Pariante, Carmine, Mehta, Mitul, Montana, Giovanni, Nosarti, Chiara, Desrivieres, Sylvane, Rodriguez-Mateos, Ana and Dazzan, Paola (2022) The eBRAIN study : the impact of early adversity on trajectories of brain maturation and mental health in young adolescents : a prospective cohort study. Brain, Behavior, & Immunity - Health, 26 . 100539. doi:10.1016/j.bbih.2022.100539 ISSN 2666-3546.

MacPherson, Matthew, Muthuswamy, Keerthini, Amlani, Ashik, Hutchinson, Charles, Goh, Vicky and Montana, Giovanni (2022) Assessing the performance of automated prediction and ranking of patient age from chest X-rays against clinicians. In: 25th International Conference on Medical Image Computing and Computer Assisted Intervention, Singapore, 18-22 Sep 2022. Published in: 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part VII, 13437 pp. 255-265. ISBN 9783031164484. doi:10.1007/978-3-031-16449-1_25 ISSN 0302-9743.

Chen, P. J., Mackes, N., Sacchi, C., Lawrence, A. J., Ma, X., Pollard, R., Matter, M., Morgan, C., Harding, S., Schumann, G., Pariante, C., Mehta, M. A., Montana, G., Nosarti, C. and Dazzan, P. (2022) Parental education and youth suicidal behaviours : a systematic review and meta-analysis. Epidemiology and Psychiatric Sciences, 31 . e19. doi:10.1017/S204579602200004X ISSN 2045-7979.

Kilinc, Ozsel and Montana, Giovanni (2022) Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. Machine Learning, 111 . pp. 465-486. doi:10.1007/s10994-021-06116-1 ISSN 2632-2153.

Gangopadhyay, Briti, Khastgir, Siddartha, Dey, Sumanta, Dasgupta, Pallab, Montana, Giovanni and Jennings, Paul. A. (2019) Identification of test cases for Automated Driving Systems using Bayesian optimization. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 27-30 Oct 2019. Published in: 2019 IEEE Intelligent Transportation Systems Conference (ITSC) pp. 1961-1967. ISBN 9781538670255. doi:10.1109/ITSC.2019.8917103

Annarumma, Mauro, Withey, Samuel J., Bakewell, Robert J., Pesce, Emanuele, Goh, Vicky and Montana, Giovanni (2019) Automated triaging of adult chest radiographs with deep artificial neural networks. Radiology, 291 (1). pp. 196-202. doi:10.1148/radiol.2018180921 ISSN 0033-8419.

Pesce, Emanuele, Joseph Withey, Samuel, Ypsilantis, Petros-Pavlos, Bakewell, Robert, Goh, Vicky and Montana, Giovanni (2019) Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. Medical Image Analysis, 53 . pp. 26-38. doi:10.1016/j.media.2018.12.007 ISSN 1361-8415.

Savioli, Nicoló, Visentin, Silvia, Cosmi, Erich, Grisan, Enrico, Lamata, Pablo and Montana, Giovanni (2018) Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. In: International Conference on Artificial Neural Networks , Rhodes,Greece, October 4-7, 2018, 11140 pp. 148-157. doi:10.1007/978-3-030-01421-6_15 ISSN 0302-9743.

Savioli, N., Vieira, M. S., Lamata, P. and Montana, G. (2018) Automated segmentation on the entire cardiac cycle using a deep learning work-flow. In: 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS), Valencia, Spain, 15 Oct - 18 Oct 2018 doi:10.1109/SNAMS.2018.8554962

Krishnan, Michelle L., Wang, Zi, Aljabar, Paul, Ball, Gareth, Mirza, Ghazala, Saxena, Alka, Counsell, Serena J., Hajnal, Joseph V., Montana, Giovanni and Edwards, A. David (2017) Machine learning shows association between genetic variability inPPARGand cerebral connectivity in preterm infants. Proceedings of the National Academy of Sciences, 114 (52). pp. 13744-13749. doi:10.1073/pnas.1704907114 ISSN 0027-8424.

Cole, James H., Poudel, Rudra P. K., Tsagkrasoulis, Dimosthenis, Caan, Matthan W. A., Steves, Claire, Spector, Tim D. and Montana, Giovanni (2017) Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker. NeuroImage, 163 . pp. 115-124. doi:10.1016/j.neuroimage.2017.07.059 ISSN 1053-8119.

Tsagkrasoulis, Dimosthenis, Hysi, Pirro, Spector, Tim and Montana, Giovanni (2017) Heritability maps of human face morphology through large-scale automated three-dimensional phenotyping. Scientific Reports, 7 (1). 45885 . doi:10.1038/srep45885 ISSN 2045-2322.

Lorenz, Romy, Monti, Ricardo Pio, Violante, Inês R., Anagnostopoulos, Christoforos, Faisal, Aldo A., Montana, Giovanni and Leech, Robert (2016) The automatic neuroscientist : a framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage, 129 . pp. 320-334. doi:10.1016/j.neuroimage.2016.01.032 ISSN 1053-8119.

Monti, Ricardo Pio, Hellyer, Peter, Sharp, David, Leech, Robert, Anagnostopoulos, Christoforos and Montana, Giovanni (2014) Estimating time-varying brain connectivity networks from functional MRI time series. NeuroImage, 103 . pp. 427-443. doi:10.1016/j.neuroimage.2014.07.033 ISSN 1053-8119.

Silver, Matt, Montana, Giovanni and Nichols, Thomas E. (2011) False positives in neuroimaging genetics using voxel-based morphometry data. NeuroImage, Vol.54 (No.2). pp. 992-1000. doi:10.1016/j.neuroimage.2010.08.049 ISSN 10538119.

Alzheimers Disease Neuroimaging Initiative (Including: Vounou, Maria, Nichols, Thomas E. and Montana, Giovanni). (2010) Discovering genetic associations with high-dimensional neuroimaging phenotypes: a sparse reduced-rank regression approach. NeuroImage, Vol.53 (No.3). pp. 1147-1159. doi:10.1016/j.neuroimage.2010.07.002 ISSN 1053-8119.