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Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann
ZB MED -- Information Center for Life Sciences
Verified email at zbmed.de
Title
Cited by
Cited by
Year
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
3802021
Text processing through Web services: calling Whatizit
D Rebholz-Schuhmann, M Arregui, S Gaudan, H Kirsch, A Jimeno
Bioinformatics 24 (2), 296-298, 2008
3002008
Text-mining solutions for biomedical research: enabling integrative biology
D Rebholz-Schuhmann, A Oellrich, R Hoehndorf
Nature Reviews Genetics 13 (12), 829-839, 2012
2892012
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
2682007
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
2282012
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
2022009
Facts from text—is text mining ready to deliver?
D Rebholz-Schuhmann, H Kirsch, F Couto
PLoS biology 3 (2), e65, 2005
1902005
Explainable AI for bioinformatics: methods, tools and applications
MR Karim, T Islam, M Shajalal, O Beyan, C Lange, M Cochez, ...
Briefings in bioinformatics 24 (5), bbad236, 2023
1662023
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
1662010
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
1542008
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
1451990
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 (Suppl 2), S7, 2008
1322008
Resolving abbreviations to their senses in Medline
S Gaudan, H Kirsch, D Rebholz-Schuhmann
Bioinformatics 21 (18), 3658-3664, 2005
1292005
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
1282007
Deepcovidexplainer: Explainable covid-19 predictions based on chest x-ray images
MR Karim, T Döhmen, D Rebholz-Schuhmann, S Decker, M Cochez, ...
1152020
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
1122020
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
1112019
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
1112014
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
1091998
Deepcovidexplainer: explainable COVID-19 diagnosis from chest X-ray images
MR Karim, T Döhmen, M Cochez, O Beyan, D Rebholz-Schuhmann, ...
2020 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2020
962020
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Articles 1–20