| A novel validation algorithm allows for automated cell tracking and the extraction of biologically meaningful parameters DH Rapoport, T Becker, A Madany Mamlouk, S Schicktanz, C Kruse PloS one 6 (11), e27315, 2011 | 67 | 2011 |
| Quantifying olfactory perception: mapping olfactory perception space by using multidimensional scaling and self-organizing maps A Madany Mamlouk, C Chee-Ruiter, UG Hofmann, JM Bower Neurocomputing 52, 591-597, 2003 | 62 | 2003 |
| Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations A Madany Mamlouk, H Sharp, KML Menne, UG Hofmann, T Martinetz Neurocomputing 65, 275-282, 2005 | 44 | 2005 |
| On the dimensions of the olfactory perception space A Madany Mamlouk, T Martinetz Neurocomputing 58, 1019-1025, 2004 | 33 | 2004 |
| Reliability of cross-validation for SVMs in high-dimensional, low sample size scenarios S Klement, A Madany Mamlouk, T Martinetz Artificial Neural Networks-ICANN 2008, 41-50, 2008 | 26 | 2008 |
| On the efficiency of the Genetic Code after frameshift mutations R Geyer, A Madany Mamlouk PeerJ, e4825, 2018 | 21 | 2018 |
| PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome J Zhang, A Madany Mamlouk, T Martinetz, S Chang, J Wang, R Hilgenfeld BMC bioinformatics 12 (1), 248, 2011 | 20 | 2011 |
| Quantifying olfactory perception A Madany Mamlouk Master of Science Thesis, University of Lubeck, Germany, 2002 | 12 | 2002 |
| Learning to predict ischemic stroke growth on acute CT perfusion data by interpolating low-dimensional shape representations C Lucas, A Kemmling, N Bouteldja, LF Aulmann, A Madany Mamlouk, ... Frontiers in neurology 9, 2018 | 11 | 2018 |
| Morphology-based features for adaptive mitosis detection of in vitro stem cell tracking data T Becker, A Madany Methods of information in medicine 51 (05), 449-456, 2012 | 10 | 2012 |
| From time lapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking T Becker, DH Rapoport, A Madany Mamlouk Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, 386-389, 2012 | 7 | 2012 |
| One-class classification with subgaussians A Madany Mamlouk, JT Kim, E Barth, M Brauckmann, T Martinetz Pattern Recognition, 346-353, 2003 | 7* | 2003 |
| Adaptive Mitosis Detection in Large in vitro Stem Cell Populations using Timelapse Microscopy T Becker, DH Rapoport, A Madany Mamlouk Bildverarbeitung für die Medizin 2011, 49-53, 2011 | 6 | 2011 |
| Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images C Lucas, A Kemmling, A Madany Mamlouk, MP Heinrich Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 5 | 2018 |
| The Importance of Physiological Noise Regression in High Temporal Resolution fMRI N Scheel, C Chang, A Madany Mamlouk Artificial Neural Networks and Machine Learning–ICANN 2014, 829-836, 2014 | 5 | 2014 |
| A multivariate approach to estimate complexity of FMRI time series H Schütze, T Martinetz, S Anders, A Madany Mamlouk Artificial Neural Networks and Machine Learning–ICANN 2012, 540-547, 2012 | 5 | 2012 |
| Fast and easy computation of approximate smallest enclosing balls T Martinetz, A Madany Mamlouk, C Mota Computer Graphics and Image Processing, 2006. SIBGRAPI'06. 19th Brazilian …, 2006 | 3 | 2006 |
| A novel benchmark data set for adult stem cell tracking in time-lapse microscopy A Madany-Mamlouk, T Becker, D Rapoport Front Neur Conference Abstract: Neuroinformatics, 2009 | 2 | 2009 |
| Ein 3D Weltmodell zur teilaktiven Positionsverfolgung in komplexen dynamischen Umgebungen A Walthelm, R Kluthe, A Madany Mamlouk Autonome Mobile Systeme 1999, 272-281, 2000 | 2 | 2000 |
| A task-dependent active learning method for axon segmentation with CNNs P Grüning, A Palumbo, M Zille, E Barth, AM Mamlouk Proceedings on Automation in Medical Engineering 1 (1), 025-025, 2020 | 1 | 2020 |
Thomas MartinetzProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
