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Pablo López-García

Observed names: López-García Pablo, Lopez-Garcia, Pablo, López-García, Pablo, P. Lopez-Garcia, PABLO LÓPEZ-GARCÍA
Observed institutions: University of Graz, University of the Basque Country, Medical University of Graz, Center For Biomarker Research In Medicine, Institut Català de la Salut, Stanford University
ORCID: 0000-0001-5419-7337
Observed ORCID: 0000-0001-5419-7337
OpenAlex ID: A5091381316
DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals—Planification, Implementation, and Preliminary Results
2022 · Jordi Temprana-Salvador, Pablo López-García, et al. · Diagnostics · 43
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T-regulatory cells predict clinical outcome in soft tissue sarcoma patients: a clinico-pathological study
2021 · Maria A. Smolle, Laurin Herbsthofer, et al. · British Journal of Cancer · 32
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Influence of tumor-infiltrating immune cells on local control rate, distant metastasis, and survival in patients with soft tissue sarcoma
2021 · Maria A Smolle, Laurin Herbsthofer, et al. · OncoImmunology · 28
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Insights into the Composition of a Co-Culture of 10 Probiotic Strains (OMNi BiOTiC® AAD10) and Effects of Its Postbiotic Culture Supernatant
2022 · Bernhard Kienesberger, Beate Obermüller, et al. · Nutrients · 15
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Representing oncology in datasets: Standard or custom biomedical terminology?
2019 · Stefan Schulz, Philipp Daumke, et al. · Informatics in Medicine Unlocked · 15
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Usability-driven pruning of large ontologies: the case of SNOMED CT
2012 · Pablo López-García, Martin Boeker, et al. · Journal of the American Medical Informatics Association · 12
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Building SNOMED CT Post-Coordinated Expressions from Annotation Groups
2017 · Miñarro-Giménez Jose Antonio, Martínez-Costa Catalina, et al. · Studies in health technology and informatics · 10
Structural Patterns under X-Rays: Is SNOMED CT Growing Straight?
2016 · Pablo López-García, Stefan Schulz · PLoS ONE · 8
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Can SNOMED CT be squeezed without losing its shape?
2016 · Pablo López-García, Stefan Schulz · Journal of Biomedical Semantics · 7
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{{citation needed}}: Filling in Wikipedia's Citation Shaped Holes.
2014 · Kris Jack, Pablo López-García, et al. · 7
TREC 2017 Precision Medicine - Medical University of Graz.
2017 · Pablo López-García, Michel Oleynik, et al. · Text REtrieval Conference · 6
Cross-domain targeted ontology subsets for annotation: The case of SNOMED CORE and RxNorm
2013 · Pablo López-García, Paea LePendu, et al. · Journal of Biomedical Informatics · 4
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Some Common Pitfalls in the Design of Ontology-driven Information Systems
2009 · Pablo López-García, Eduardo Mena, et al. · International Conference on Knowledge Engineering and Ontology Development · 4
Procedural generation of synthetic multiplex immunohistochemistry images using cell-based image compression and conditional generative adversarial networks
2022 · Laurin Herbsthofer, Barbara Ehall, et al. · SPIE Medical Imaging: Digital and Computational Pathology · 3
Towards fast, routine blood sample quality evaluation by Probe Electrospray Ionization (PESI) metabolomics
2021 · Natalie Bordag, Elmar Zügner, et al. · medRxiv · 3
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Cell2Grid: an efficient, spatial, and convolutional neural network-ready representation of cell segmentation data
2022 · Laurin Herbsthofer, Martina Tomberger, et al. · Journal of medical imaging · 2
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C2G-Net: Exploiting Morphological Properties for Image Classification
2020 · Herbsthofer, Laurin, Prietl, Barbara, et al. · arXiv (Cornell University) · 2
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TREC 2019 Precision Medicine - Medical University of Graz.
2019 · Pilar López-Úbeda, José Antonio Vera-Ramos, et al. · Text REtrieval Conference · 1
Big Data, medizinische Sprache und biomedizinische Ordnungssysteme
2015 · Stefan Schulz, Pablo López-García · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · 1
Automatic Summarization for Terminology Recommendation: The Case of the NCBO Ontology Recommender.
2014 · Pablo López-García, Stefan Schulz, et al. · 1
Cell2Voxel: a novel, cell-based 3D tissue model from 2D multiplex tissue scans
2023 · Laurin Herbsthofer, Barbara Ehall, et al. · SPIE Medical Imaging: Digital and Computational Pathology
Ab0031 Deep Immune Phenotyping of Sle and Ra by Machine Learning
2022 · B. Prietl, J. Vera-Ramos, et al. · Annals of the Rheumatic Diseases
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1287-P: Deep Immune Phenotyping of Type 1 Diabetes by Machine Learning
2022 · JOSÉ ANTONIO VERA-RAMOS, BARBARA PRIETL, et al. · Diabetes
Coder A
2019 · López-García, Pablo · Figshare
Structural Patterns (SNOMED CT January 2015 SNOMED CT International Release, stated version)
2016 · López-García, Pablo, STEFAN SCHULZ · Figshare
Works count: 32
Citation count: 204
H-index: 8
I10-index: 7
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