Changes in brain architecture are consistent with altered fear processing in domestic rabbits I Brusini, M Carneiro, C Wang, CJ Rubin, H Ring, S Afonso, ... Proceedings of the National Academy of Sciences 115 (28), 7380-7385, 2018 | 69 | 2018 |
Shape information improves the cross-cohort performance of deep learning-based segmentation of the hippocampus I Brusini, O Lindberg, JS Muehlboeck, Ö Smedby, E Westman, C Wang Frontiers in neuroscience 14, 15, 2020 | 21 | 2020 |
Disrupted Cacna1c gene expression perturbs spontaneous Ca2+ activity causing abnormal brain development and increased anxiety E Smedler, L Louhivuori, RA Romanov, D Masini, I Dehnisch Ellström, ... Proceedings of the National Academy of Sciences 119 (7), e2108768119, 2022 | 18 | 2022 |
Deep learning corpus callosum segmentation as a neurodegenerative marker in multiple sclerosis M Platten, I Brusini, O Andersson, R Ouellette, F Piehl, C Wang, ... Journal of Neuroimaging 31 (3), 493-500, 2021 | 18 | 2021 |
MRI-derived brain age as a biomarker of ageing in rats: validation using a healthy lifestyle intervention I Brusini, E MacNicol, E Kim, Ö Smedby, C Wang, E Westman, ... Neurobiology of Aging 109, 204-215, 2022 | 13 | 2022 |
Automatic rat brain segmentation from MRI using statistical shape models and random forest S Bendazzoli, I Brusini, P Damberg, Ö Smedby, L Andersson, C Wang Medical Imaging 2019: Image Processing 10949, 675-681, 2019 | 12 | 2019 |
Age-specific adult rat brain MRI templates and tissue probability maps E MacNicol, P Wright, E Kim, I Brusini, O Esteban, C Simmons, ... Frontiers in Neuroinformatics 15, 669049, 2022 | 10 | 2022 |
Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis I Brusini, M Platten, R Ouellette, F Piehl, C Wang, T Granberg Journal of Neuroimaging 32 (3), 459-470, 2022 | 8 | 2022 |
Fully automatic estimation of the waist of the nerve fiber layer at the optic nerve head angularly resolved I Brusini, G Carizzo, S Bendazzoli, C Wang, Z Yu, CS Melin, K Kisonaite, ... Ophthalmic Technologies XXXI 11623, 61-68, 2021 | 3 | 2021 |
A deep learning-based pipeline for error detection and quality control of brain MRI segmentation results I Brusini, DF Padilla, J Barroso, I Skoog, Ö Smedby, E Westman, C Wang arXiv preprint arXiv:2005.13987, 2020 | 3 | 2020 |
Voxel-Wise Clustering of Tractography Data for Building Atlases of Local Fiber Geometry I Brusini, D Jörgens, Ö Smedby, R Moreno Computational Diffusion MRI, 345, 2019 | 2 | 2019 |
Influence of tractography algorithms and settings on local curvature estimations I Brusini, D Jörgens, Ö Smedby, R Moreno Proceedings of OHBM Annual Meeting, 2017 | 2 | 2017 |
The humanised CYP2C19 transgenic mouse exhibits cerebellar atrophy and movement impairment reminiscent of ataxia F Milosavljević, I Brusini, A Atanasov, M Manojlović, M Vučić, ... Neuropathology and Applied Neurobiology 49 (1), e12867, 2023 | 1 | 2023 |
Humanized CYP2C19 transgenic mouse as an animal model of cerebellar ataxia F Milosavljević, I Brusini, A Atanasov, M Manojlović, M Novalen, M Vučić, ... bioRxiv, 2022.01. 10.475612, 2022 | | 2022 |
Methods for the analysis and characterization of brain morphology from MRI images I Brusini PQDT-Global, 2022 | | 2022 |
Automatic segmentation of the waist of the nerve fiber layer at the ONH with AI K Kisonaite, F Raeme, Z Yu, C Sandberg Melin, I Brusini, S Bendazzoli, ... Acta Ophthalmologica 100, 2022 | | 2022 |
Development and evaluation of a 3D annotation software for interactive COVID-19 lesion segmentation in chest CT S Bendazzoli, I Brusini, M Astaraki, M Persson, J Yu, B Connolly, S Nyrén, ... arXiv preprint arXiv:2012.14752, 2020 | | 2020 |
Dependency of neural tracts' curvature estimations on tractography methods I Brusini, D Jörgens, Ö Smedby, R Moreno Human Brain Project Student Conference, 2017 | | 2017 |