Dietrich Rebholz-Schuhmann

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Antonio Jimeno Yepesunstructured.ioEmail confirmado em unstructured.io
Anika Cawthorn (formerly Oellrich)University College LondonEmail confirmado em ucl.ac.uk
Robert HoehndorfKing Abdullah University of Science and TechnologyEmail confirmado em kaust.edu.sa
Piotr PęzikUniversity of ŁódźEmail confirmado em uni.lodz.pl
Udo HahnProfessor of Computational Linguistics @ Friedrich-Schiller-Universität JenaEmail confirmado em uni-jena.de
Rafael Berlanga LlavoriUniversidad Jaume IEmail confirmado em uji.es
Erik van MulligenErasmus University RotterdamEmail confirmado em erasmusmc.nl
Ernesto Jimenez-RuizSenior Lecturer in Artificial Intelligence. City St George's, University of London, UKEmail confirmado em city.ac.uk
Jan KorsErasmus University Medical CenterEmail confirmado em erasmusmc.nl
Francisco M CoutoLASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, PortugalEmail confirmado em campus.ul.pt
Michel DumontierDistinguished Professor of Data Science, Maastricht UniversityEmail confirmado em maastrichtuniversity.nl
Nigel CollierProfessor of Natural Language Processing, University of CambridgeEmail confirmado em cam.ac.uk
David MilwardLinguamaticsEmail confirmado em linguamatics.com
Samuel CrosetRoivant PharmaceuticalsEmail confirmado em roivant.com
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningEmail confirmado em manchester.ac.uk
Ulf LeserKnowledge Management in Bioinformatics, Humboldt-Universität zu BerlinEmail confirmado em informatik.hu-berlin.de
Fabio RinaldiDalle Molle Institute for Artificial Intelligence Research (IDSIA), LuganoEmail confirmado em idsia.ch
Goran NenadicDepartment of Computer Science, University of ManchesterEmail confirmado em manchester.ac.uk
Jee Hyub KimData Science Lead, AbtraceEmail confirmado em abtrace.co
Peter CorbettRoyal Society of ChemistryEmail confirmado em rsc.org

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Dietrich Rebholz-Schuhmann

ZB MED -- Information Center for Life Sciences

Email confirmado em zbmed.de

biomedical informatics literature analysis ontologies Semantic Web Information representation


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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	315	2021
Text processing through Web services: calling Whatizit D Rebholz-Schuhmann, M Arregui, S Gaudan, H Kirsch, A Jimeno Bioinformatics 24 (2), 296-298, 2008	292	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	285	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	265	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	222	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	197	2009
Facts from text—is text mining ready to deliver? D Rebholz-Schuhmann, H Kirsch, F Couto PLoS biology 3 (2), e65, 2005	189	2005
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	162	2010
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
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	143	1990
Resolving abbreviations to their senses in Medline S Gaudan, H Kirsch, D Rebholz-Schuhmann Bioinformatics 21 (18), 3658-3664, 2005	130	2005
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
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	123	2007
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	112	2020
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	109	2014
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	107	1998
The application of internet-based sources for public health surveillance (infoveillance): systematic review JM Barros, J Duggan, D Rebholz-Schuhmann Journal of medical internet research 22 (3), e13680, 2020	101	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	94	2004
Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images J Abedin, J Antony, K McGuinness, K Moran, NE O’Connor, ... Scientific reports 9 (1), 5761, 2019	91	2019
A multilingual gold-standard corpus for biomedical concept recognition: the Mantra GSC JA Kors, S Clematide, SA Akhondi, EM Van Mulligen, ... Journal of the American Medical Informatics Association 22 (5), 948-956, 2015	88	2015

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