Stefan Maetschke

20 papers B 1C 3Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2021 J jnl
Understanding in Artificial Intelligence.
CoRR
Stefan Maetschke, David Martinez Iraola, Pieter Barnard, Elaheh Shafieibavani, Peter Zhong, Ying Xu, Antonio Jimeno-Yepes
2020 — conf
Using Satellite and Aerial Imagery for Identification of Solar PV: State of the Art and Research Opportunities.
e-Energy
Julian de Hoog, Stefan Maetschke, Peter Ilfrich, Ramachandra Rao Kolluri
2019 J jnl
Inference of visual field test performance from OCT volumes using deep learning.
CoRR
Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi
2018 J jnl
A feature agnostic approach for glaucoma detection in OCT volumes.
CoRR
Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Rahil Garvani
2017 — conf
A novel hybrid approach for severity assessment of Diabetic Retinopathy in colour fundus images.
ISBI
Pallab Kanti Roy, Ruwan B. Tennakoon, Khoa Cao, Suman Sedai, Dwarikanath Mahapatra, Stefan Maetschke, Rahil Garnavi
2017 — conf
Semi-supervised Segmentation of Optic Cup in Retinal Fundus Images Using Variational Autoencoder.
MICCAI (2)
Suman Sedai, Dwarikanath Mahapatra, Sajini Hewavitharanage, Stefan Maetschke, Rahil Garnavi
2017 J jnl
nuts-flow/ml: data pre-processing for deep learning.
CoRR
Stefan Maetschke, Ruwan Bandara Tennakoon, Christian Vecchiola, Rahil Garnavi
2014 J jnl
Characterizing cancer subtypes as attractors of Hopfield networks.
Bioinform.
Stefan Maetschke, Mark A. Ragan
2014 J jnl
Supervised, semi-supervised and unsupervised inference of gene regulatory networks.
Briefings Bioinform.
Stefan Maetschke, Piyush B. Madhamshettiwar, Melissa J. Davis, Mark A. Ragan
2013 J jnl
RMaNI: Regulatory Module Network Inference framework.
BMC Bioinform.
Piyush B. Madhamshettiwar, Stefan Maetschke, Melissa J. Davis, Mark A. Ragan
2012 J jnl
Automatic selection of reference taxa for protein-protein interaction prediction with phylogenetic profiling.
Bioinform.
Martin Simonsen, Stefan Maetschke, Mark A. Ragan
2012 J jnl
Gene Ontology-driven inference of protein-protein interactions using inducers.
Bioinform.
Stefan Maetschke, Martin Simonsen, Melissa J. Davis, Mark A. Ragan
2012 J jnl
mCOPA: analysis of heterogeneous features in cancer expression data.
J. Clin. Bioinform.
Chenwei Wang, Alperen Taciroglu, Stefan Maetschke, Colleen C. Nelson, Mark A. Ragan, Melissa J. Davis
2010 J jnl
A visual framework for sequence analysis using
Bioinform.
Stefan Maetschke, Karin S. Kassahn, Jasmyn A. Dunn, Siew-Ping Han, Eva Z. Curley, Katryn J. Stacey, Mark A. Ragan
2009 C conf
Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes.
CIBCB
Isye Arieshanti, Mikael Bodén, Stefan Maetschke, Fabian A. Buske
2009 J jnl
Exploiting structural and topological information to improve prediction of RNA-protein binding sites.
BMC Bioinform.
Stefan Maetschke, Zheng Yuan
2009 J jnl
It's about time: Signal recognition in staged models of protein translocation.
Pattern Recognit.
Fabian A. Buske, Stefan Maetschke, Mikael Bodén
2007 C conf
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins.
CIBCB
Stefan Maetschke, Marcus Gallagher, Mikael Bodén
2005 B conf
BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction.
APBC
Stefan Maetschke, Michael Towsey, Mikael Bodén
2005 C conf
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins.
IDEAL
Mark Wakabayashi, John Hawkins, Stefan Maetschke, Mikael Bodén