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Miguel A. Ibarra-Arellano
Miguel A. Ibarra-Arellano
University Heidelberg
Dirección de correo verificada de uni-bonn.de - Página principal
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Dissecting the treatment-naive ecosystem of human melanoma brain metastasis
J Biermann, JC Melms, AD Amin, Y Wang, LA Caprio, A Karz, S Tagore, ...
Cell 185 (14), 2591-2608. e30, 2022
612022
SECIMTools: a suite of metabolomics data analysis tools
AS Kirpich, M Ibarra, O Moskalenko, JM Fear, J Gerken, X Mi, A Ashrafi, ...
Bmc Bioinformatics 19, 1-11, 2018
382018
Abasy Atlas: a comprehensive inventory of systems, global network properties and systems-level elements across bacteria
MA Ibarra-Arellano, AI Campos-González, LG Treviño-Quintanilla, ...
Database 2016, baw089, 2016
202016
Factors in color fundus photographs that can be used by humans to determine sex of individuals
S Dieck, M Ibarra, I Moghul, MW Yeung, JT Pantel, S Thiele, M Pfau, ...
Translational vision science & technology 9 (7), 8-8, 2020
82020
Spatial cell type mapping of multiple sclerosis lesions
C Lerma-Martin, P Badia-i-Mompel, RO Ramirez Flores, P Sekol, ...
bioRxiv, 2022.11. 03.514906, 2022
52022
Eye2Gene: prediction of causal inherited retinal disease gene from multimodal imaging using deep-learning
N Pontikos, W Woof, A Veturi, B Javanmardi, M Ibarra-Arellano, A Hustinx, ...
32022
Spatial cell type mapping of subcortical white matter lesions in multiple sclerosis
C Lerma-Martin, Badia-I-Mompel, Pau, RR Flores, P Sekol, A Hofmann, ...
MULTIPLE SCLEROSIS JOURNAL 29, 19-20, 2023
2023
Insight into an artificial neural network, that learned to infer gender from funduscopies
MA Ibarra-Arellano, S Dieck, MW Yeung, S Thiele, T Pantel, I Moghul, ...
EUROPEAN JOURNAL OF HUMAN GENETICS 28 (SUPPL 1), 967-967, 2020
2020
Features for sex classification from color fundus photographs inferred from an artificial neural network
S Dieck, M Ibarra, I Moghul, MW Yeung, S Thiele, M Pfau, M Fleckenstein, ...
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