Dietrich Rebholz-Schuhmann

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Antonio Jimeno Yepesunstructured.ioVerified email at unstructured.io
Anika Cawthorn (formerly Oellrich)University College LondonVerified email at ucl.ac.uk
Robert HoehndorfKing Abdullah University of Science and TechnologyVerified email at kaust.edu.sa
Piotr PęzikUniversity of ŁódźVerified email at uni.lodz.pl
Udo HahnProfessor of Computational Linguistics @ Friedrich-Schiller-Universität JenaVerified email at uni-jena.de
Rafael Berlanga LlavoriUniversidad Jaume IVerified email at uji.es
Erik van MulligenErasmus University RotterdamVerified email at erasmusmc.nl
Ernesto Jimenez-RuizLecturer in Artificial Intelligence. City, University of London, UKVerified email at city.ac.uk
Francisco M CoutoLASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, PortugalVerified email at campus.ul.pt
Jan KorsErasmus University Medical CenterVerified email at erasmusmc.nl
Michel DumontierDistinguished Professor of Data Science, Maastricht UniversityVerified email at maastrichtuniversity.nl
David MilwardLinguamaticsVerified email at linguamatics.com
Samuel CrosetRoivant PharmaceuticalsVerified email at roivant.com
Nigel CollierProfessor of Natural Language Processing, University of CambridgeVerified email at cam.ac.uk
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningVerified email at manchester.ac.uk
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinVerified email at informatik.hu-berlin.de
Goran NenadicDepartment of Computer Science, University of ManchesterVerified email at manchester.ac.uk
Fabio RinaldiDalle Molle Institute for Artificial Intelligence Research (IDSIA), LuganoVerified email at idsia.ch
Jee Hyub KimNLP Engineer, CausalyVerified email at causaly.com
Peter CorbettRoyal Society of ChemistryVerified email at rsc.org

Dietrich Rebholz-Schuhmann

ZB MED -- Information Center for Life Sciences

Verified email at zbmed.de

biomedical informatics literature analysis ontologies Semantic Web Information representation


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Text processing through Web services: calling Whatizit D Rebholz-Schuhmann, M Arregui, S Gaudan, H Kirsch, A Jimeno Bioinformatics 24 (2), 296-298, 2008	283	2008
Text-mining solutions for biomedical research: enabling integrative biology D Rebholz-Schuhmann, A Oellrich, R Hoehndorf Nature Reviews Genetics 13 (12), 829-839, 2012	267	2012
EBIMed—text crunching to gather facts for proteins from Medline D Rebholz-Schuhmann, H Kirsch, M Arregui, S Gaudan, M Riethoven, ... Bioinformatics 23 (2), e237-e244, 2007	256	2007
Automatic recognition of conceptualization zones in scientific articles and two life science applications M Liakata, S Saha, S Dobnik, C Batchelor, D Rebholz-Schuhmann Bioinformatics 28 (7), 991-1000, 2012	197	2012
MeSH Up: effective MeSH text classification for improved document retrieval D Trieschnigg, P Pezik, V Lee, F De Jong, W Kraaij, ... Bioinformatics 25 (11), 1412-1418, 2009	190	2009
Facts from text—is text mining ready to deliver? D Rebholz-Schuhmann, H Kirsch, F Couto PLoS biology 3 (2), e65, 2005	186	2005
Assessment of disease named entity recognition on a corpus of annotated sentences A Jimeno, E Jimenez-Ruiz, V Lee, S Gaudan, R Berlanga, ... BMC bioinformatics 9 (Suppl 3), S3, 2008	151	2008
CALBC silver standard corpus D Rebholz-Schuhmann, AJJ Yepes, EM Van Mulligen, N Kang, J Kors, ... Journal of bioinformatics and computational biology 8 (01), 163-179, 2010	136	2010
Adverse immune reactions to gold. I. Chronic treatment with an Au (I) drug sensitizes mouse T cells not to Au (I), but to Au (III) and induces autoantibody formation. D Schuhmann, M Kubicka-Muranyi, J Mirtschewa, J Günther, P Kind, ... Journal of immunology (Baltimore, Md.: 1950) 145 (7), 2132-2139, 1990	134	1990
Text mining for biology-the way forward: opinions from leading scientists RB Altman, CM Bergman, J Blake, C Blaschke, A Cohen, F Gannon, ... Genome biology 9, 1-15, 2008	129	2008
Resolving abbreviations to their senses in Medline S Gaudan, H Kirsch, D Rebholz-Schuhmann Bioinformatics 21 (18), 3658-3664, 2005	128	2005
Deep learning-based clustering approaches for bioinformatics MR Karim, O Beyan, A Zappa, IG Costa, D Rebholz-Schuhmann, ... Briefings in Bioinformatics 22 (1), 393-415, 2021	123	2021
Using argumentation to extract key sentences from biomedical abstracts P Ruch, C Boyer, C Chichester, I Tbahriti, A Geissbühler, P Fabry, ... International journal of medical informatics 76 (2-3), 195-200, 2007	113	2007
Course tracking and contour extraction of retinal vessels from color fundus photographs: Most efficient use of steerable filters for model-based image analysis B Kochner, D Schuhmann, M Michaelis, G Mann, KH Englmeier Medical Imaging 1998: Image Processing 3338, 755-761, 1998	106	1998
Biological network extraction from scientific literature: state of the art and challenges C Li, M Liakata, D Rebholz-Schuhmann Briefings in bioinformatics 15 (5), 856-877, 2014	102	2014
Deepcovidexplainer: Explainable covid-19 predictions based on chest x-ray images M Karim, T Döhmen, D Rebholz-Schuhmann, S Decker, M Cochez, ... arXiv preprint arXiv:2004.04582, 2020	95	2020
Automatic extraction of mutations from Medline and cross‐validation with OMIM D Rebholz‐Schuhmann, S Marcel, S Albert, R Tolle, G Casari, H Kirsch Nucleic Acids Research 32 (1), 135-142, 2004	93	2004
Ontology refinement for improved information retrieval A Jimeno-Yepes, R Berlanga-Llavori, D Rebholz-Schuhmann Information Processing & Management 46 (4), 426-435, 2010	85	2010
Gene Regulation Ontology (GRO): design principles and use cases E Beisswanger, V Lee, JJ Kim, D Rebholz-Schuhmann, A Splendiani, ... MIE, 9-14, 2008	79	2008
MedEvi: retrieving textual evidence of relations between biomedical concepts from Medline J Kim, P Pezik, D Rebholz-Schuhmann Bioinformatics 24 (11), 1410-1412, 2008	77	2008

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