Dietrich Rebholz-Schuhmann

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

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	270	2008
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	249	2007
Facts from text—is text mining ready to deliver? D Rebholz-Schuhmann, H Kirsch, F Couto PLoS Biol 3 (2), e65, 2005	233*	2005
Text-mining solutions for biomedical research: enabling integrative biology D Rebholz-Schuhmann, A Oellrich, R Hoehndorf Nature Reviews Genetics 13 (12), 829-839, 2012	226	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	176	2009
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	163	2012
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	144	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	127	2010
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 (2), 1-15, 2008	126	2008
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, ... The Journal of Immunology 145 (7), 2132-2139, 1990	126	1990
Resolving abbreviations to their senses in Medline S Gaudan, H Kirsch, D Rebholz-Schuhmann Bioinformatics 21 (18), 3658-3664, 2005	118	2005
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	105	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	100	1998
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	90	2004
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	87	2014
Ontology refinement for improved information retrieval A Jimeno-Yepes, R Berlanga-Llavori, D Rebholz-Schuhmann Information Processing & Management 46 (4), 426-435, 2010	87	2010
GOAnnotator: linking protein GO annotations to evidence text FM Couto, MJ Silva, V Lee, E Dimmer, E Camon, R Apweiler, H Kirsch, ... Journal of biomedical discovery and collaboration 1 (1), 1-6, 2006	78	2006
Gene Regulation Ontology (GRO): design principles and use cases E Beisswanger, V Lee, JJ Kim, D Rebholz-Schuhmann, A Splendiani, ... MIE, 9-14, 2008	75	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	73	2008
The BioLexicon: a large-scale terminological resource for biomedical text mining P Thompson, J McNaught, S Montemagni, N Calzolari, R Del Gratta, ... BMC bioinformatics 12 (1), 1-29, 2011	72	2011

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