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Morris, DM., Wang, C., Papanastasiou, G., Gray, CD., Xu, W., Sjöström, S., Badr, S., Paccou, J., Semple, SIK., MacGillivray, T. and Cawthorn, WP., (2024). A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data. Computational and Structural Biotechnology Journal. 24, 89-104

Voutouri, C., Englezos, D., Zamboglou, C., Strouthos, I., Papanastasiou, G. and Stylianopoulos, T., (2024). A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models. Communications Medicine. 4 (1), 203-

Papanastasiou, G., García Seco de Herrera, A., Wang, C., Zhang, H., Yang, G. and Wang, G., (2023). Focus on machine learning models in medical imaging. Physics in Medicine & Biology. 68 (1), 010301-010301

Singh, T., Joshi, S., Meah, MN., Spath, NB., Papanastasiou, G., Kershaw, LE., Baker, AH., Dweck, MR., Newby, DE. and Semple, SI., (2023). Repeatability and reproducibility of cardiac manganese-enhanced magnetic resonance imaging. Scientific Reports. 13 (1), 3366-

Xing, X., Papanastasiou, G., Walsh, S. and Yang, G., (2023). Less Is More: Unsupervised Mask-Guided Annotated CT Image Synthesis With Minimum Manual Segmentations. IEEE Transactions on Medical Imaging. 42 (9), 2566-2576

Wang, C., Zhang, H., Papanastasiou, G. and Yang, G., (2023). Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience. Frontiers in Computational Neuroscience. 17, 1267489-

Papanastasiou, G., Yang, G., Fotiadis, DI., Dikaios, N., Wang, C., Huda, A., Sobolevsky, L., Raasch, J., Perez, E., Sidhu, G. and Palumbo, D., (2023). Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficiencies. Communications Medicine. 3 (1), 189-

Wang, C., Yang, G. and Papanastasiou, G., (2022). Unsupervised Image Registration towards Enhancing Performance and Explainability in Cardiac and Brain Image Analysis. Sensors. 22 (6), 2125-2125

Stavropoulou, AP., Theodosiou, M., Sakellis, E., Boukos, N., Papanastasiou, G., Wang, C., Tavares, A., Corral, CA., Gournis, D., Chalmpes, N., Gobbo, OL. and Efthimiadou, EK., (2022). Bimetallic gold-platinum nanoparticles as a drug delivery system coated with a new drug to target glioblastoma. Colloids and Surfaces B: Biointerfaces. 214, 112463-112463

Wang, C., Yang, G., Papanastasiou, G., Zhang, H., Rodrigues, JJPC. and de Albuquerque, VHC., (2021). . IEEE Transactions on Industrial Informatics. 17 (8), 5511-5521

Spath, N., Singh, T., Papanastasiou, G., Kershaw, L., Baker, A., Janisczek, R., Gulsin, G., Dweck, M., McCann, G., Newby, D. and Semple, S., (2021). . European Heart Journal - Cardiovascular Imaging. 22 (12), 1463-1472

Papanastasiou, G., Mark, R., Chengjia, W., Kerstin, H., Christophe, L., Rustam, A-SS., Joanna M., W., Edwin J.R., VB. and Gerard, T., (2021). . NeuroImage. 225, 117482-117482

Wang, C., Yang, G., Papanastasiou, G., Tsaftaris, SA., Newby, DE., Gray, C., Macnaught, G. and MacGillivray, TJ., (2021). . Information Fusion. 67, 147-160

Chartsias, A., Papanastasiou, G., Wang, C., Semple, S., Newby, D., Dharmakumar, R. and Tsaftaris, S., (2021). . IEEE Transactions on Medical Imaging. 40 (3), 781-792

Prokopiou, DE., Pissas, M., Fibbi, G., Margheri, F., Beata, K-S., Papanastasiou, G., Jansen, M., Wang, C., Laurenzana, A. and Efthimiadou, EK., (2021). . Toxicology in Vitro. 72, 105094-105094

Spath, NB., Singh, T., Papanastasiou, G., Baker, A., Janiczek, RJ., McCann, GP., Dweck, MR., Kershaw, L., Newby, DE. and Semple, S., (2021). Assessment of stunned and viable myocardium using manganese-enhanced MRI. Open Heart. 8 (1), e001646-e001646

Wang, C., Dong, S., Zhao, X., Papanastasiou, G., Zhang, H. and Yang, G., (2020). . IEEE Transactions on Industrial Informatics. 16 (4), 2667-2676

Suchacki, KJ., Tavares, AAS., Mattiucci, D., Scheller, EL., Papanastasiou, G., Gray, C., Sinton, MC., Ramage, LE., McDougald, WA., Lovdel, A., Sulston, RJ., Thomas, BJ., Nicholson, BM., Drake, AJ., Alcaide-Corral, CJ., Said, D., Poloni, A., Cinti, S., Macpherson, GJ., Dweck, MR., Andrews, JPM., Williams, MC., Wallace, RJ., van Beek, EJR., MacDougald, OA., Morton, NM., Stimson, RH. and Cawthorn, WP., (2020). . Nature Communications. 11 (1), 3097-

Kuhn, J., Papanastasiou, G., Tai, C-W., Moran, CM., Jansen, MA., Tavares, AAS., Lennen, RJ., Corral, CA., Wang, C., Thomson, AJW., Berry, CC. and Yiu, HHP., (2020). . Nanomedicine. 15 (25), 2433-2445

Chartsias, A., Joyce, T., Papanastasiou, G., Semple, S., Williams, M., Newby, DE., Dharmakumar, R. and Tsaftaris, SA., (2019). . Medical Image Analysis. 58, 101535-101535

Suchacki, KJ., Tavares, AAS., Mattiucci, D., Scheller, EL., Papanastasiou, G., Gray, C., Sinton, MC., Ramage, LE., McDougald, WA., Lovdel, A., Sulston, RJ., Thomas, BJ., Nicholson, BM., Drake, AJ., Alcaide-Corral, CJ., Said, D., Poloni, A., Cinti, S., MacPherson, GJ., Dweck, MR., Andrews, JPM., Williams, MC., Wallace, RJ., van Beek, EJR., MacDougald, OA., Morton, NM., Stimson, RH. and Cawthorn, WP., (2019). Bone marrow adipose tissue is a unique adipose subtype with distinct roles in systemic glucose homeostasis

Papanastasiou, G., Williams, MC., Dweck, MR., Mirsadraee, S., Weir, N., Fletcher, A., Lucatelli, C., Patel, D., van Beek, EJR., Newby, DE. and Semple, SIK., (2018). . IEEE Transactions on Radiation and Plasma Medical Sciences. 2 (3), 259-271

Csincsik, L., MacGillivray, TJ., Flynn, E., Pellegrini, E., Papanastasiou, G., Barzegar-Befroei, N., Csutak, A., Bird, AC., Ritchie, CW., Peto, T. and Lengyel, I., (2018). . Ophthalmic Research. 59 (4), 182-192

Hindel, S., Papanastasiou, G., Wust, P., Maaß, M., Söhner, A. and Lüdemann, L., (2018). . Magnetic Resonance in Medicine. 79 (6), 3154-3162

Spath, NB., Lilburn, DML., Gray, GA., Le Page, LM., Papanastasiou, G., Lennen, RJ., Janiczek, RL., Dweck, MR., Newby, DE., Yang, PC., Jansen, MA. and Semple, SI., (2018). . Contrast Media and Molecular Imaging. 2018, 1-13

Papanastasiou, G., Williams, MC., Dweck, MR., Alam, S., Cooper, A., Mirsadraee, S., Newby, DE. and Semple, SI., (2016). . Journal of Cardiovascular Magnetic Resonance. 18 (1), 57-57

Papanastasiou, G., Williams, MC., Kershaw, LE., Dweck, MR., Alam, S., Mirsadraee, S., Connell, M., Gray, C., MacGillivray, T., Newby, DE. and Semple, SIK., (2015). . Journal of Cardiovascular Magnetic Resonance. 17 (1), 17-17

Papanastasiou, G., Williams, MC., Dweck, M., Mirsadraee, S., Fletcher, A., Lucatelli, C., Patel, D., van Beek, E., Newby, D. and Semple, S., A multimodality assessment of myocardial perfusion quantification using dynamic contrast enhanced magnetic resonance and 15O-labelled water positron emission tomography imaging.

Spath, N., Papanastasiou, G., Singh, T., Gulsin, G., McCann, G., Dweck, M., Baker, A., Newby, D. and Semple, S., Manganese-enhanced T1 mapping to quantify myocardial dysfunction in non-ischaemic cardiomyopathy.

Spath, N., Papanastasiou, G., Singh, T., Gulsin, G., McCann, G., Dweck, M., Baker, A., Newby, D. and Semple, S., Manganese-enhanced MRI in acute myocardial infarction.

Papanastasiou, G., Rodrigues, M., Salman, R. and Macnaught, G., Quantitative analysis of 18F-flutemetamol uptake in cerebral amyloid angiopathy using hybrid PET-MR imaging.

Spath, N., Papanastasiou, G., Singh, T., Baker, A., Janiczek, R., McCann, G., Dweck, M., Newby, D. and Semple, S., Manganese-Enhanced Magnetic Resonance Imaging to assess myocardial calcium handling to directly visualise myocardium viability.

Chartsias, A., Joyce, T., Papanastasiou, G., Semple, S., Williams, M., Dharmakumar, R., Newby, D. and Semple, S., Doing more with less: semi-supervised cardiac segmentation with a fraction of labeled images.

Hindel, S., Papanastasiou, G., Wust, P., Maaß, M., Söhner, A. and Lüdemann, L., Evaluation of Pharmacokinetic Models for Perfusion Imaging with Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Porcine Skeletal Muscle Using Low-Molecular-Weight Contrast Agents.

Csincsik, L., Flynn, E., Pellegrini, E., Papanastasiou, G., MacGillivray, T., Ritchie, C., Peto, T. and Lengyel, I., Assessing retinal vascular biomarkers for Alzheimer’s disease using ultra-widefield imaging (UWFI).

Csincsik, L., Flynn, E., Pellegrini, E., Papanastasiou, G., MacGillivray, T., Ritchie, C., Peto, T. and Lengyel, I., Retinal vascular parameter assessment in Alzheimer’s disease using ultra-widefield imaging.

Wang, C., Yang, G. and Papanastasiou, G., (2021). FIRE: Unsupervised bi-directional inter- and intra-modality registration using deep networks

Jacutprakart, J., Andrade, FP., Cuan, R., Compean, AA., Papanastasiou, G. and Garcia Seco De Herrera, A., (2021).

Jiang, H., Chartsias, A., Papanastasiou, G., Zhang, X., Dweck, M., Semple, S., Newby, D., Dharmakumar, R. and Tsaftaris, S., (2020).

Chartsias, A., Papanastasiou, G., Wang, C., Stirrat, C., Semple, S., Newby, D., Dharmakumar, R. and Tsaftaris, S., (2020).

Jacutprakart, J., Savran Kiziltepe, R., Gan, J., Papanastasiou, G. and Garcia Seco De Herrera, A., (2020).

Wang, C., Papanastasiou, G., Tsaftaris, SA., Yang, G., Gray, C., Newby, D., Macnaught, G. and MacGillivray, T., (2019). Improved Deformation Invariant Cross-domain Medical Image Synthesis.

Chartsias, A., Joyce, T., Papanastasiou, G., Semple, S., Newby, D., Williams, MC., Dharmakumar, R. and Sotirios, T., (2018). Factorised spatial representation learning: application in semi-supervised myocardial segmentation

Wang, C., Macnaught, G., Papanastasiou, G., MacGillivray, T. and Newby, D., (2018). Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks

Papanastasiou, G., Gonzalez-Castro, V., Gray, C., Forsythe, R., Sourgia-Koutraki, Y., Mitchard, N., Newby, D. and Semple, S., (2017). Multidimensional assessments of abdominal aortic aneurysms by magnetic resonance against ultrasound diameter measurements.

Figueroa, J., Gray, C., Papanastasiou, G., Gonzalez-Castro, V., Polydorides, N., Andrew, E. and Vinnicombe, S., (2017).

Papanastasiou, G., Williams, M., Dweck, M., Alam, S., Cooper, A., Mirsadraee, S., Newby, D. and Semple, S., (2016).

Papanastasiou, G., Williams, MC., Alam, S., Dweck, M., Mirsadraee, S., Gray, C., Connell, M., MacGillivray, T., Newby, D. and Semple, S., (2014). Assessing the reliability of DP and Fermi estimates in single and dual bolus cardiac MR perfusion imaging.

Papanastasiou, G., Williams, M., Dweck, M., Mirsadraee, S., Weir, N., Alam, S., Stirrat, C., Newby, D. and Semple, S., (2014).

Papanastasiou, G., Kershaw, L., Williams, M., Dweck, M., Alam, S., Mirsadraee, S., Gray, C., MacGillivray, T., Newby, D. and Semple, S., (2013).