Amir Madany Mamlouk

Orcid: 0000-0001-9709-1620

Affiliations:
  • University of Lübeck, Germany


According to our database1, Amir Madany Mamlouk authored at least 25 papers between 1999 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
A Knowledge-Model for AI-Driven Tutoring Systems.
Proceedings of the Information Modelling and Knowledge Bases XXXIII- Proceedings of the 31st International Conference on Information Modelling and Knowledge Bases, 2021

2020
Robust and Markerfree in vitro Axon Segmentation with CNNs.
Proceedings of the Wireless Mobile Communication and Healthcare, 2020

Deep Neural-Gas Clustering for Instance Segmentation across Imaging Experiments.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Abstract: Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Estimation of the Principal Ischaemic Stroke Growth Directions for Predicting Tissue Outcomes.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
Multi-scale neural network for automatic segmentation of ischemic strokes on acute perfusion images.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Perception space analysis: From color vision to odor perception.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015
Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity.
Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014
The benchmark data SET CeTReS.B-MI for in vitro mitosis detection.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

The Importance of Physiological Noise Regression in High Temporal Resolution fMRI.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
Combining phase contrast and immunofluorescence images using geometric hashing.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
From time lapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

A Multivariate Approach to Estimate Complexity of FMRI Time Series.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome.
BMC Bioinform., 2011

SNPboost: Interaction Analysis and Risk Prediction on GWA Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Adaptive Mitosis Detection in Large in vitro Stem Cell Populations using Timelapse Microscopy.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011

2010
Sparse Coding for Feature Selection on Genome-Wide Association Data.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2008
Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios.
Proceedings of the Artificial Neural Networks, 2008

Wie funktioniert eigentlich Riechen? Computergestützte Analyse von biologischen Wahrnehmungsprozessen.
Proceedings of the Ausgezeichnete Informatikdissertationen 2008, 2008

2006
Fast and Easy Computation of Approximate Smallest Enclosing Balls.
Proceedings of the 19th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2006), 2006

2005
Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations.
Neurocomputing, 2005

2004
On the dimensions of the olfactory perception space.
Neurocomputing, 2004

2003
Quantifying olfactory perception: mapping olfactory perception space by using multidimensional scaling and self-organizing maps.
Neurocomputing, 2003

One-Class Classification with Subgaussians.
Proceedings of the Pattern Recognition, 2003

1999
Ein 3D Weltmodell zur teilaktiven Positionsverfolgung in komplexen dynamischen Umgebungen.
Proceedings of the Autonome Mobile Systeme 1999, 1999


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