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ORCIDStefan Maetschke
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2020 – today
- 2021
[i4]Stefan Maetschke, David Martinez Iraola, Pieter Barnard
, Elaheh ShafieiBavani, Peter Zhong, Ying Xu, Antonio Jimeno-Yepes:
Understanding in Artificial Intelligence. CoRR abs/2101.06573 (2021)- 2020
- [c7]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: 308-313
2010 – 2019
- 2019
- [j10]Guillaume Bernard, Cheong Xin Chan, Yao-ban Chan, Xin-Yi Chua, Yingnan Cong, James M. Hogan, Stefan R. Maetschke, Mark A. Ragan:
Alignment-free inference of hierarchical and reticulate phylogenomic relationships. Briefings Bioinform. 20(2): 426-435 (2019) - [i3]Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, Rahil Garnavi:
Inference of visual field test performance from OCT volumes using deep learning. CoRR abs/1908.01428 (2019) - 2018
- [i2]Stefan Maetschke, Bhavna Josephine Antony, Hiroshi Ishikawa, Rahil Garvani:
A feature agnostic approach for glaucoma detection in OCT volumes. CoRR abs/1807.04855 (2018) - 2017
- [c6]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: 1078-1082 - [c5]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: 75-82 - [i1]Stefan Maetschke, Ruwan Bandara Tennakoon, Christian Vecchiola, Rahil Garnavi:
nuts-flow/ml: data pre-processing for deep learning. CoRR abs/1708.06046 (2017) - 2014
- [j9]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): 195-211 (2014) - [j8]Stefan Maetschke, Mark A. Ragan:
Characterizing cancer subtypes as attractors of Hopfield networks. Bioinform. 30(9): 1273-1279 (2014) - 2013
- [j7]Piyush B. Madhamshettiwar, Stefan Maetschke, Melissa J. Davis, Mark A. Ragan:
RMaNI: Regulatory Module Network Inference framework. BMC Bioinform. 14(S-16): S14 (2013) - 2012
- [j6]Stefan Maetschke, Martin Simonsen, Melissa J. Davis, Mark A. Ragan:
Gene Ontology-driven inference of protein-protein interactions using inducers. Bioinform. 28(1): 69-75 (2012) - [j5]Martin Simonsen, Stefan Maetschke, Mark A. Ragan:
Automatic selection of reference taxa for protein-protein interaction prediction with phylogenetic profiling. Bioinform. 28(6): 851-857 (2012) - [j4]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: 22 (2012) - 2010
- [j3]Stefan Maetschke, Karin S. Kassahn, Jasmyn A. Dunn, Siew-Ping Han, Eva Z. Curley, Katryn J. Stacey, Mark A. Ragan:
A visual framework for sequence analysis using n-grams and spectral rearrangement. Bioinform. 26(6): 737-744 (2010)
2000 – 2009
- 2009
- [j2]Stefan Maetschke, Zheng Yuan:
Exploiting structural and topological information to improve prediction of RNA-protein binding sites. BMC Bioinform. 10: 341 (2009) - [j1]Fabian A. Buske, Stefan Maetschke, Mikael Bodén:
It's about time: Signal recognition in staged models of protein translocation. Pattern Recognit. 42(4): 567-574 (2009) - [c4]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: 46-52 - 2007
- [c3]Stefan Maetschke, Marcus Gallagher, Mikael Bodén:
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins. CIBCB 2007: 367-372 - 2005
- [c2]Stefan Maetschke, Michael Towsey, Mikael Bodén:
BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction. APBC 2005: 141-150 - [c1]Mark Wakabayashi, John Hawkins, Stefan Maetschke, Mikael Bodén:
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins. IDEAL 2005: 454-461
Coauthor Index
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