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Publications

Peer-reviewed

Towards fully automated segmentation of rat cardiac MRI by leveraging deep learning frameworks
Scientific Reports, 2022

Fernández-Llaneza, D., Gondova, A., Vince, H., Patra, A., Zurek, M., Konings, P., Kagelid, P., & Hultin, L. (2022). Towards fully automated segmentation of rat cardiac MRI by leveraging deep learning frameworks. Scientific Reports, 12.

Under review

Early structural connectivity within the sensorimotor network: deviations related to prematurity and association to neurodevelopmental outcome
Frontiers Human Neuroscience, 2022

Neumane, S., Gondova, A., Leprince, Y., Hertz-Pannier, L., Arichi , T., & Dubois, J. (2022). Early structural connectivity within the sensorimotor network: deviations related to prematurity and association to neurodevelopmental outcome. BioRxiv.

Non peer-reviewed

Convolutional neural networks for automated CMR image segmentation in rats with myocardial infarcts
BioRxiv, 2020

Gondova, A., Zurek, M., Karlsson, J., Hultin, L., Noeske, T., & Watson, E. (2020). Convolutional neural networks for automated CMR image segmentation in rats with myocardial infarcts. BioRxiv

Other

Posters

Infant cortical microstructure at term-equivalent age accurately predicts prematurity at birth
(OHBM 2022, Glasgow, UK)
Short video >>here<<
poster here

Fully automated CMR image segmentation in rats with myocardial infarcts using machine learning
(23th Annual Scientific Session of SCMR, Orlando, US)
poster here