Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 6

1.

Differences in Signaling Patterns on PI3K Inhibition Reveal Context Specificity in KRAS-Mutant Cancers.

Stewart A, Coker EA, Pölsterl S, Georgiou A, Minchom AR, Carreira S, Cunningham D, O'Brien ME, Raynaud FI, de Bono JS, Al-Lazikani B, Banerji U.

Mol Cancer Ther. 2019 Aug;18(8):1396-1404. doi: 10.1158/1535-7163.MCT-18-0727. Epub 2019 Jul 1.

PMID:
31262731
2.

Heterogeneous ensembles for predicting survival of metastatic, castrate-resistant prostate cancer patients.

Pölsterl S, Gupta P, Wang L, Conjeti S, Katouzian A, Navab N.

Version 3. F1000Res. 2016 Nov 16 [revised 2017 Jan 1];5:2676. doi: 10.12688/f1000research.8231.3. eCollection 2016.

3.

Survival analysis for high-dimensional, heterogeneous medical data: Exploring feature extraction as an alternative to feature selection.

Pölsterl S, Conjeti S, Navab N, Katouzian A.

Artif Intell Med. 2016 Sep;72:1-11. doi: 10.1016/j.artmed.2016.07.004. Epub 2016 Jul 29.

PMID:
27664504
4.

Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects.

Pölsterl S, Singh M, Katouzian A, Navab N, Kastrati A, Ladic L, Kamen A.

BMC Med Inform Decis Mak. 2015 Feb 14;15:9. doi: 10.1186/s12911-015-0131-0.

5.

2D image registration in CT images using radial image descriptors.

Graf F, Kriegel HP, Schubert M, Pölsterl S, Cavallaro A.

Med Image Comput Comput Assist Interv. 2011;14(Pt 2):607-14.

PMID:
21995079
6.

Odefy--from discrete to continuous models.

Krumsiek J, Pölsterl S, Wittmann DM, Theis FJ.

BMC Bioinformatics. 2010 May 7;11:233. doi: 10.1186/1471-2105-11-233.

Supplemental Content

Loading ...
Support Center