Stefan Maetschke

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 7

Top Topics

Diabetic Retinopathy

Protein Interaction

Gene Regulatory Networks

Top Venues

Publications

Stefan Maetschke, David Martinez Iraola, Pieter Barnard, Elaheh ShafieiBavani, Peter Zhong, Ying Xu, Antonio Jimeno-Yepes
Understanding in Artificial Intelligence. CoRR (2021)
Julian de Hoog, Stefan Maetschke, Peter Ilfrich, Ramachandra Rao Kolluri
Using Satellite and Aerial Imagery for Identification of Solar PV: State of the Art and Research Opportunities. e-Energy (2020)
Stefan Maetschke, Bhavna J. Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi
Inference of visual field test performance from OCT volumes using deep learning. CoRR (2019)
Stefan Maetschke, Bhavna J. Antony, Hiroshi Ishikawa, Rahil Garvani
A feature agnostic approach for glaucoma detection in OCT volumes. CoRR (2018)
Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images. ISBI (2017)
Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi
Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder. MICCAI (2) (2017)
Stefan Maetschke, Ruwan Bandara Tennakoon, Christian Vecchiola, Rahil Garnavi
nuts-flow/ml: data pre-processing for deep learning. CoRR (2017)
Stefan Maetschke, Mark A. Ragan
Characterizing cancer subtypes as attractors of Hopfield networks. Bioinform. 30 (9) (2014)
Stefan Maetschke, Piyush B. Madhamshettiwar, Melissa J. Davis, Mark A. Ragan
Supervised, semi-supervised and unsupervised inference of gene regulatory networks. Briefings Bioinform. 15 (2) (2014)
Piyush B. Madhamshettiwar, Stefan Maetschke, Melissa J. Davis, Mark A. Ragan
RMaNI: Regulatory Module Network Inference framework. BMC Bioinform. 14 (S-16) (2013)
Stefan Maetschke, Martin Simonsen, Melissa J. Davis, Mark A. Ragan
Gene Ontology-driven inference of protein-protein interactions using inducers. Bioinform. 28 (1) (2012)
Martin Simonsen, Stefan Maetschke, Mark A. Ragan
Automatic selection of reference taxa for protein-protein interaction prediction with phylogenetic profiling. Bioinform. 28 (6) (2012)
Chenwei Wang, Alperen Taciroglu, Stefan Maetschke, Colleen C. Nelson, Mark A. Ragan, Melissa J. Davis
mCOPA: analysis of heterogeneous features in cancer expression data. J. Clin. Bioinform. 2 (2012)
Stefan Maetschke, Karin S. Kassahn, Jasmyn A. Dunn, Siew-Ping Han, Eva Z. Curley, Katryn J. Stacey, Mark A. Ragan
-grams and spectral rearrangement. Bioinform. 26 (6) (2010)
Stefan Maetschke, Zheng Yuan
Exploiting structural and topological information to improve prediction of RNA-protein binding sites. BMC Bioinform. 10 (2009)
Fabian A. Buske, Stefan Maetschke, Mikael Bodén
It's about time: Signal recognition in staged models of protein translocation. Pattern Recognit. 42 (4) (2009)
Isye Arieshanti, Mikael Bodén, Stefan Maetschke, Fabian A. Buske
Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes. CIBCB (2009)
Stefan Maetschke, Marcus Gallagher, Mikael Bodén
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins. CIBCB (2007)
Mark Wakabayashi, John Hawkins, Stefan Maetschke, Mikael Bodén
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins. IDEAL (2005)
Stefan Maetschke, Michael Towsey, Mikael Bodén
BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction. APBC (2005)