| Conceptualizing mental disorders as deviations from normative functioning AF Marquand, SM Kia, M Zabihi, T Wolfers, JK Buitelaar, CF Beckmann Molecular psychiatry 24 (10), 1415-1424, 2019 | 338 | 2019 |
| Dissecting the heterogeneous cortical anatomy of autism spectrum disorder using normative models M Zabihi, M Oldehinkel, T Wolfers, V Frouin, D Goyard, E Loth, T Charman, ... Biological psychiatry: cognitive neuroscience and neuroimaging 4 (6), 567-578, 2019 | 197 | 2019 |
| The normative modeling framework for computational psychiatry S Rutherford, SM Kia, T Wolfers, C Fraza, M Zabihi, R Dinga, P Berthet, ... Nature protocols 17 (7), 1711-1734, 2022 | 159 | 2022 |
| From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder T Wolfers, DL Floris, R Dinga, D van Rooij, C Isakoglou, SM Kia, M Zabihi, ... Neuroscience & Biobehavioral Reviews 104, 240-254, 2019 | 131 | 2019 |
| Charting brain growth and aging at high spatial precision S Rutherford, C Fraza, R Dinga, SM Kia, T Wolfers, M Zabihi, P Berthet, ... elife 11, e72904, 2022 | 126 | 2022 |
| Atypical brain asymmetry in autism—a candidate for clinically meaningful stratification DL Floris, T Wolfers, M Zabihi, NE Holz, MP Zwiers, T Charman, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 6 (8), 802-812, 2021 | 110 | 2021 |
| Fractionating autism based on neuroanatomical normative modeling M Zabihi, DL Floris, SM Kia, T Wolfers, J Tillmann, AL Arenas, ... Translational psychiatry 10 (1), 384, 2020 | 67 | 2020 |
| Replicating extensive brain structural heterogeneity in individuals with schizophrenia and bipolar disorder T Wolfers, J Rokicki, D Alnæs, P Berthet, I Agartz, SM Kia, T Kaufmann, ... Human brain mapping 42 (8), 2546-2555, 2021 | 57 | 2021 |
| Interindividual differences in cortical thickness and their genomic underpinnings in autism spectrum disorder C Ecker, CM Pretzsch, A Bletsch, C Mann, T Schaefer, S Ambrosino, ... American Journal of Psychiatry 179 (3), 242-254, 2022 | 55 | 2022 |
| A stable and replicable neural signature of lifespan adversity in the adult brain NE Holz, M Zabihi, SM Kia, M Monninger, PM Aggensteiner, S Siehl, ... Nature Neuroscience 26 (9), 1603-1612, 2023 | 36 | 2023 |
| Cerebellar atypicalities in autism? C Laidi, DL Floris, J Tillmann, Y Elandaloussi, M Zabihi, T Charman, ... Biological psychiatry 92 (8), 674-682, 2022 | 29 | 2022 |
| Non-Gaussian normative modelling with hierarchical Bayesian regression AAA de Boer, JMM Bayer, SM Kia, S Rutherford, M Zabihi, C Fraza, ... Imaging Neuroscience 2, 1-36, 2024 | 17 | 2024 |
| Evaluation of data imputation strategies in complex, deeply-phenotyped data sets: the case of the EU-AIMS Longitudinal European Autism Project A Llera, M Brammer, B Oakley, J Tillmann, M Zabihi, JS Amelink, T Mei, ... BMC Medical Research Methodology 22 (1), 229, 2022 | 12 | 2022 |
| The extremes of normative modelling C Fraza, M Zabihi, CF Beckmann, AF Marquand | 5 | 2022 |
| Non-linearity matters: a deep learning solution to generalization of hidden brain patterns across population cohorts M Zabihi, SM Kia, T Wolfers, R Dinga, A Llera, D Bzdok, CF Beckmann, ... bioRxiv, 2021.03. 10.434856, 2021 | 5 | 2021 |
| Correction: Conceptualizing mental disorders as deviations from normative functioning AF Marquand, SM Kia, M Zabihi, T Wolfers, JK Buitelaar, CF Beckmann Molecular psychiatry 24 (10), 1565, 2019 | 5 | 2019 |
| Predicting and visualizing psychological attributions with a deep neural network E Grant, S Sahm, M Zabihi, M van Gerven 2016 23rd International Conference on Pattern Recognition (ICPR), 1-6, 2016 | 4 | 2016 |
| Nonlinear latent representations of high-dimensional task-fMRI data: Unveiling cognitive and behavioral insights in heterogeneous spatial maps M Zabihi, SM Kia, T Wolfers, S de Boer, C Fraza, R Dinga, AL Arenas, ... Plos one 19 (8), e0308329, 2024 | 1 | 2024 |
| Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation M Zabihi, C Tangwiriyasakul, S Ingala, L Lorenzini, R Camarasa, ... International Workshop on Machine Learning in Medical Imaging, 325-334, 2023 | 1 | 2023 |
| Explanatory latent representation of heterogeneous spatial maps of task-fmri in large-scale datasets M Zabihi, SM Kia, T Wolfers, S de Boer, C Fraza, S Soheili-Nezhad, ... BioRxiv, 2021.03. 10.434856, 2021 | 1 | 2021 |
Christian F. BeckmannRadboud University Medical Centre Nijmegen, Donders Institute for Brain, Cognition and BehaviourPatvirtintas el. paštas donders.ru.nl