Microglial MorphOMICs unravel region- and sex-dependent morphological phenotypes from postnatal development to degeneration
 Colombo, G Cubero, R Kanari, L Venturino, A Schulz, R Scolamiero, M Agerberg, J Mathys, H Tsai, L Chachólski, W Hess, K Siegert, S (2021) doi:10.1101/2021.11.30.470610
Of mice and men: Dendritic architecture differentiates human from mice neuronal networks.
 Kanari, L Shi, Y Arnaudon, A Barros-Zulaica, N Benavides-Piccione, R Coggan, J DeFelipe, J Hess, K Mansvelder, H Mertens, E Meystre, J de Campos Perin, R Pezzoli, M Daniel, R Stoop, R Segev, I Markram, H de Kock, C (18 Dec 2024) doi:10.1101/2023.09.11.557170
Comprehensive Morpho-Electrotonic Analysis Shows 2 Distinct Classes of L2 and L3 Pyramidal Neurons in Human Temporal Cortex.
 Deitcher, Y Eyal, G Kanari, L Verhoog, M Atenekeng Kahou, G Mansvelder, H de Kock, C Segev, I Cerebral cortex (New York, N.Y. : 1991) volume 27 issue 11 5398-5414 (Nov 2017) doi:10.1093/cercor/bhx226
Objective Classification of Neocortical Pyramidal Cells
 Kanari, L Ramaswamy, S Shi, Y Morand, S Meystre, J Perin, R Abdellah, M Wang, Y Hess, K Markram, H (2018) doi:10.1101/349977
Objective Morphological Classification of Neocortical Pyramidal Cells.
 Kanari, L Ramaswamy, S Shi, Y Morand, S Meystre, J Perin, R Abdellah, M Wang, Y Hess, K Markram, H Cerebral cortex (New York, N.Y. : 1991) volume 29 issue 4 1719-1735 (Apr 2019) doi:10.1093/cercor/bhy339
A quantitative spatial atlas of transcriptomic, morphological, and electrophysiological cell type densities in the mouse brain
 Verasztó, C Roussel, Y Kanari, L Markram, H Keller, D (2024) doi:10.1101/2024.12.30.630728
Computational synthesis of cortical dendritic morphologies
 Kanari, L Dictus, H Chalimourda, A Van Geit, W Coste, B Shillcock, J Hess, K Markram, H (2020) doi:10.1101/2020.04.15.040410
A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes
 Colombo, G Cubero, R Kanari, L Venturino, A Schulz, R Scolamiero, M Agerberg, J Mathys, H Tsai, L Chachólski, W Hess, K Siegert, S Nature Neuroscience volume 25 issue 10 1379-1393 (30 Sep 2022) doi:10.1038/s41593-022-01167-6
An interpretable deep learning framework for classifying neuronal morphologies using topology and graph neural networks
 Kanari, L Schmidt, S Casalegno, F Delattre, E Lukic, J Negrello, T Shi, Y Meystre, J Defferrard, M Schürmann, F Markram, H doi:10.1101/2024.09.13.612635
In situ synthesis and simulation of polydisperse amphiphilic membranes
 Vanherpe, L Kanari, L Atenekeng, G Palacios, J Shillcock, J International Journal of Advances in Engineering Sciences and Applied Mathematics volume 8 issue 2 126-133 (12 Jun 2016) doi:10.1007/s12572-015-0156-8
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