Follow
Irene Brusini
Title
Cited by
Cited by
Year
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
682018
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
202020
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
172022
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
162021
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
122022
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
122019
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
102022
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
72022
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
32020
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
22021
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
22019
Influence of tractography algorithms and settings on local curvature estimations
I Brusini, D Jörgens, Ö Smedby, R Moreno
Proceedings of OHBM Annual Meeting, 2017
22017
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
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
The system can't perform the operation now. Try again later.
Articles 1–18