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Items: 1 to 20 of 55


Why we fail: mechanisms and co-factors of unsuccessful thrombectomy in acute ischemic stroke.

Heider DM, Simgen A, Wagenpfeil G, Dietrich P, Yilmaz U, Mühl-Benninghaus R, Roumia S, Faßbender K, Reith W, Kettner M.

Neurol Sci. 2020 Jan 23. doi: 10.1007/s10072-020-04244-5. [Epub ahead of print]


Four high-quality draft genome assemblies of the marine heterotrophic nanoflagellate Cafeteria roenbergensis.

Hackl T, Martin R, Barenhoff K, Duponchel S, Heider D, Fischer MG.

Sci Data. 2020 Jan 21;7(1):29. doi: 10.1038/s41597-020-0363-4.


NAFLD-Associated Comorbidities in Advanced Stage HCC Do Not Alter the Safety and Efficacy of Yttrium-90 Radioembolization.

Schotten C, Bechmann LP, Manka P, Theysohn J, Dechêne A, El Fouly A, Barbato F, Neumann U, Radünz S, Sydor S, Heider D, Venerito M, Canbay A, Gerken G, Herrmann K, Wedemeyer H, Best J.

Liver Cancer. 2019 Nov;8(6):491-504. doi: 10.1159/000501484. Epub 2019 Jul 29.


ContraDRG: Automatic Partial Charge Prediction by Machine Learning.

Martin R, Heider D.

Front Genet. 2019 Oct 30;10:990. doi: 10.3389/fgene.2019.00990. eCollection 2019.


GALAD Score Detects Early Hepatocellular Carcinoma in an International Cohort of Patients With Nonalcoholic Steatohepatitis.

Best J, Bechmann LP, Sowa JP, Sydor S, Dechêne A, Pflanz K, Bedreli S, Schotten C, Geier A, Berg T, Fischer J, Vogel A, Bantel H, Weinmann A, Schattenberg JM, Huber Y, Wege H, von Felden J, Schulze K, Bettinger D, Thimme R, Sinner F, Schütte K, Weiss KH, Toyoda H, Yasuda S, Kumada T, Berhane S, Wichert M, Heider D, Gerken G, Johnson P, Canbay A.

Clin Gastroenterol Hepatol. 2019 Nov 8. pii: S1542-3565(19)31267-4. doi: 10.1016/j.cgh.2019.11.012. [Epub ahead of print]


The virtual doctor: An interactive clinical-decision-support system based on deep learning for non-invasive prediction of diabetes.

Spänig S, Emberger-Klein A, Sowa JP, Canbay A, Menrad K, Heider D.

Artif Intell Med. 2019 Sep;100:101706. doi: 10.1016/j.artmed.2019.101706. Epub 2019 Aug 21.


Deep learning on chaos game representation for proteins.

Löchel HF, Eger D, Sperlea T, Heider D.

Bioinformatics. 2020 Jan 1;36(1):272-279. doi: 10.1093/bioinformatics/btz493.


Non-invasive assessment of NAFLD as systemic disease-A machine learning perspective.

Canbay A, Kälsch J, Neumann U, Rau M, Hohenester S, Baba HA, Rust C, Geier A, Heider D, Sowa JP.

PLoS One. 2019 Mar 26;14(3):e0214436. doi: 10.1371/journal.pone.0214436. eCollection 2019.


Encodings and models for antimicrobial peptide classification for multi-resistant pathogens.

Spänig S, Heider D.

BioData Min. 2019 Mar 4;12:7. doi: 10.1186/s13040-019-0196-x. eCollection 2019. Review.


SEDE-GPS: socio-economic data enrichment based on GPS information.

Sperlea T, Füser S, Boenigk J, Heider D.

BMC Bioinformatics. 2018 Nov 30;19(Suppl 15):440. doi: 10.1186/s12859-018-2419-4.


GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making.

Schwarz J, Heider D.

Bioinformatics. 2019 Jul 15;35(14):2458-2465. doi: 10.1093/bioinformatics/bty984.


SCOTCH: subtype A coreceptor tropism classification in HIV-1.

Löchel HF, Riemenschneider M, Frishman D, Heider D.

Bioinformatics. 2018 Aug 1;34(15):2575-2580. doi: 10.1093/bioinformatics/bty170.


eccCL: parallelized GPU implementation of Ensemble Classifier Chains.

Riemenschneider M, Herbst A, Rasch A, Gorlatch S, Heider D.

BMC Bioinformatics. 2017 Aug 17;18(1):371. doi: 10.1186/s12859-017-1783-9.


EFS: an ensemble feature selection tool implemented as R-package and web-application.

Neumann U, Genze N, Heider D.

BioData Min. 2017 Jun 27;10:21. doi: 10.1186/s13040-017-0142-8. eCollection 2017.


Low transferrin and high ferritin concentrations are associated with worse outcome in acute liver failure.

Anastasiou OE, Kälsch J, Hakmouni M, Kucukoglu O, Heider D, Korth J, Manka P, Sowa JP, Bechmann L, Saner FH, Paul A, Gerken G, Baba HA, Canbay A.

Liver Int. 2017 Jul;37(7):1032-1041. doi: 10.1111/liv.13369. Epub 2017 Feb 12.


Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach.

Neumann U, Riemenschneider M, Sowa JP, Baars T, Kälsch J, Canbay A, Heider D.

BioData Min. 2016 Nov 18;9:36. eCollection 2016.


SHIVA - a web application for drug resistance and tropism testing in HIV.

Riemenschneider M, Hummel T, Heider D.

BMC Bioinformatics. 2016 Aug 22;17(1):314. doi: 10.1186/s12859-016-1179-2.


Genotypic Prediction of Co-receptor Tropism of HIV-1 Subtypes A and C.

Riemenschneider M, Cashin KY, Budeus B, Sierra S, Shirvani-Dastgerdi E, Bayanolhagh S, Kaiser R, Gorry PR, Heider D.

Sci Rep. 2016 Apr 29;6:24883. doi: 10.1038/srep24883.


Current Approaches in Computational Drug Resistance Prediction in HIV.

Riemenschneider M, Heider D.

Curr HIV Res. 2016;14(4):307-15. Review.


Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification.

Riemenschneider M, Senge R, Neumann U, Hüllermeier E, Heider D.

BioData Min. 2016 Feb 29;9:10. doi: 10.1186/s13040-016-0089-1. eCollection 2016.

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