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Stefan Maetschke
Stefan Maetschke
QSic
Verified email at getqsic.com
Title
Cited by
Cited by
Year
Supervised, semi-supervised and unsupervised inference of gene regulatory networks
SR Maetschke, PB Madhamshettiwar, MJ Davis, MA Ragan
Briefings in bioinformatics 15 (2), 195-211, 2014
1942014
Gene regulatory network inference: evaluation and application to ovarian cancer allows the prioritization of drug targets
PB Madhamshettiwar, SR Maetschke, MJ Davis, A Reverter, MA Ragan
Genome medicine 4, 1-16, 2012
1852012
A feature agnostic approach for glaucoma detection in OCT volumes
S Maetschke, B Antony, H Ishikawa, G Wollstein, J Schuman, R Garnavi
PloS one 14 (7), e0219126, 2019
1792019
Gene Ontology-driven inference of protein–protein interactions using inducers
SR Maetschke, M Simonsen, MJ Davis, MA Ragan
Bioinformatics 28 (1), 69-75, 2012
932012
Semi-supervised segmentation of optic cup in retinal fundus images using variational autoencoder
S Sedai, D Mahapatra, S Hewavitharanage, S Maetschke, R Garnavi
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
802017
Alignment-free inference of hierarchical and reticulate phylogenomic relationships
G Bernard, CX Chan, Y Chan, XY Chua, Y Cong, JM Hogan, ...
Briefings in Bioinformatics 20 (2), 426-435, 2019
772019
Exploiting structural and topological information to improve prediction of RNA-protein binding sites
SR Maetschke, Z Yuan
BMC bioinformatics 10, 1-14, 2009
692009
A novel hybrid approach for severity assessment of diabetic retinopathy in colour fundus images
P Roy, R Tennakoon, K Cao, S Sedai, D Mahapatra, S Maetschke, ...
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
552017
BLOMAP: an encoding of amino acids which improves signal peptide cleavage site prediction
S Maetschke, M Towsey, M Boden
Proceedings of the 3rd Asia-Pacific bioinformatics conference, 141-150, 2005
362005
Using satellite and aerial imagery for identification of solar PV: State of the art and research opportunities
J de Hoog, S Maetschke, P Ilfrich, RR Kolluri
Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020
342020
Characterizing cancer subtypes as attractors of Hopfield networks
SR Maetschke, MA Ragan
Bioinformatics 30 (9), 1273-1279, 2014
332014
Identifying novel peroxisomal proteins
J Hawkins, D Mahony, S Maetschke, M Wakabayashi, RD Teasdale, ...
Proteins: Structure, Function, and Bioinformatics 69 (3), 606-616, 2007
332007
Estimating global visual field indices in glaucoma by combining macula and optic disc OCT scans using 3-dimensional convolutional neural networks
HH Yu, SR Maetschke, BJ Antony, H Ishikawa, G Wollstein, JS Schuman, ...
Ophthalmology Glaucoma 4 (1), 102-112, 2021
292021
Genome-wide analysis of chlamydiae for promoters that phylogenetically footprint
B Grech, S Maetschke, S Mathews, P Timms
Research in microbiology 158 (8-9), 685-693, 2007
282007
mCOPA: analysis of heterogeneous features in cancer expression data
C Wang, A Taciroglu, SR Maetschke, CC Nelson, MA Ragan, MJ Davis
Journal of clinical bioinformatics 2, 1-11, 2012
262012
A visual framework for sequence analysis using n-grams and spectral rearrangement
SR Maetschke, KS Kassahn, JA Dunn, SP Han, EZ Curley, KJ Stacey, ...
Bioinformatics 26 (6), 737-744, 2010
222010
Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data
S Roy, I Kiral, M Mirmomeni, T Mummert, A Braz, J Tsay, J Tang, U Asif, ...
EBioMedicine 66, 2021
142021
Automatic selection of reference taxa for protein–protein interaction prediction with phylogenetic profiling
M Simonsen, SR Maetschke, MA Ragan
Bioinformatics 28 (6), 851-857, 2012
142012
Analysis of weld image to determine weld quality
SR Maetschke
US Patent 6,414,261, 2002
132002
Inference of visual field test performance from OCT volumes using deep learning
S Maetschke, B Antony, H Ishikawa, G Wollstein, J Schuman, R Garnavi
arXiv preprint arXiv:1908.01428, 2019
122019
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Articles 1–20