Alexey Tsymbal

Publication Activity (10 Years)

Years Active: 1998-2014
Publications (10 Years): 0

Top Topics

Lesion Detection

Computed Tomography Angiography

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Int. J. Comput. Assist. Radiol. Surg.

Publications

Peter Dankerl, Matthias Hammon, Alexey Tsymbal, Alexander Cavallaro, Stephan Achenbach, Michael Uder, Rolf Janka
Evaluation of novice reader diagnostic performance in coronary CT angiography using an advanced cardiac software package. Int. J. Comput. Assist. Radiol. Surg. 9 (4) (2014)
Alexey Tsymbal, Eugen Meissner, B. Michael Kelm, Martin Kramer
Towards cloud-based image-integrated similarity search in big data. BHI (2014)
Michael Wels, B. Michael Kelm, Alexey Tsymbal, Matthias Hammon, Grzegorz Soza, Michael Sühling, Alexander Cavallaro, Dorin Comaniciu
Multi-stage osteolytic spinal bone lesion detection from CT data with internal sensitivity control. Medical Imaging: Computer-Aided Diagnosis (2012)
Paolo Soda, Sameer K. Antani, Francesco Tortorella, Mario Cannataro, Mykola Pechenizkiy, Alexey Tsymbal
Trends in computer-based medical systems. SIGHIT Rec. 2 (2) (2012)
Torsten Schön, Alexey Tsymbal, Martin Huber
Gene-pair representation and incorporation of GO-based semantic similarity into classification of gene expression data. Intell. Data Anal. 16 (5) (2012)
B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. MICCAI (3) (2011)
Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Michaela Schmidt, Andreas Greiser, Edgar Mueller, Xiaoguang Lu, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu
Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices. MLMI (2011)
María Jimena Costa, Alexey Tsymbal, William Nguatem, Michael Sühling, Shaohua Kevin Zhou, Dorin Comaniciu
A method for mass candidate detection and an application to liver lesion detection. Medical Imaging: Computer-Aided Diagnosis (2011)
María Jimena Costa, Alexey Tsymbal, Matthias Hammon, Alexander Cavallaro, Michael Sühling, Sascha Seifert, Dorin Comaniciu
A Discriminative Distance Learning-Based CBIR Framework for Characterization of Indeterminate Liver Lesions. MCBR-CDS (2011)
Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu
Learning distance function for regression-based 4D pulmonary trunk model reconstruction estimated from sparse MRI data. Medical Imaging: Image-Guided Procedures (2011)
Paolo Soda, Mykola Pechenizkiy, Francesco Tortorella, Alexey Tsymbal
Knowledge discovery and computer-based decision support in biomedicine. Artif. Intell. Medicine 50 (1) (2010)
Ingmar Voigt, Dime Vitanovski, Razvan Ioan Ionasec, Alexey Tsymbal, Bogdan Georgescu, Shaohua Kevin Zhou, Martin Huber, Nassir Navab, Joachim Hornegger, Dorin Comaniciu
Learning discriminative distance functions for valve retrieval and improved decision support in valvular heart disease. Medical Imaging: Image Processing (2010)
Torsten Schön, Alexey Tsymbal, Martin Huber
Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data. RSCTC (2010)
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
Learning Discriminative Distance Functions for Case Retrieval and Decision Support. Trans. Case Based Reason. 3 (1) (2010)
Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Bogdan Georgescu, Martin Huber, Andrew Mayall Taylor, Silvia Schievano, Shaohua Kevin Zhou, Joachim Hornegger, Dorin Comaniciu
Cross-Modality Assessment and Planning for Pulmonary Trunk Treatment Using CT and MRI Imaging. MICCAI (1) (2010)
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
Learning Discriminative Distance Functions for Case Retrieval and Decision Support. ICDM (Workshops) (2010)
Razvan Ioan Ionasec, Alexey Tsymbal, Dime Vitanovski, Bogdan Georgescu, Shaohua Kevin Zhou, Nassir Navab, Dorin Comaniciu
Shape-based diagnosis of the aortic valve. Medical Imaging: Image Processing (2009)
Mykola Pechenizkiy, Alexey Tsymbal
Guest editorial for DKE special issue on "Biomedical Data Mining". Data Knowl. Eng. 68 (12) (2009)
Alexey Tsymbal, Gabor Rendes, Martin Huber, Shaohua Kevin Zhou
The Neighborhood Graph for Clinical Case Retrieval and Decision Support within Health-e-Child CaseReasoner. LWA (2009)
David Gelbart, Nelson Morgan, Alexey Tsymbal
Hill-climbing feature selection for multi-stream ASR. INTERSPEECH (2009)
Tamas Hauer, Dmitri Rogulin, Sonja Zillner, Andrew Branson, Jetendr Shamdasani, Alexey Tsymbal, Martin Huber, Tony Solomonides, Richard McClatchey
An Architecture for Semantic Navigation and Reasoning with Patient Data - Experiences of the Health-e-Child Project. ISWC (2008)
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
Towards more relevance-oriented data mining research. Intell. Data Anal. 12 (2) (2008)
Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen
Dynamic integration of classifiers for handling concept drift. Inf. Fusion 9 (1) (2008)
Sonja Zillner, Tamas Hauer, Dmitri Rogulin, Alexey Tsymbal, Martin Huber, Tony Solomonides
Semantic Visualization of Patient Information. CBMS (2008)
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
Effectiveness of Local Feature Selection in Ensemble Learning for Prediction of Antimicrobial Resistance. CBMS (2008)
Alexey Tsymbal, Martin Huber, Sonja Zillner, Tamas Hauer, Shaohua Kevin Zhou
Visualizing Patient Similarity in Clinical Decision Support. LWA (2007)
Huicheng Zheng, Padraig Cunningham, Alexey Tsymbal
Learning multiple linear manifolds with self-organizing networks. Int. J. Parallel Emergent Distributed Syst. 22 (6) (2007)
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, David W. Patterson
Feature Extraction for Dynamic Integration of Classifiers. Fundam. Informaticae 77 (3) (2007)
Alexey Tsymbal, Sonja Zillner, Martin Huber
Ontology - Supported Machine Learning and Decision Support in Biomedicine. DILS (2007)
Alexey Tsymbal, Sonja Zillner, Martin Huber
Feature Ontology for Improved Learning from Large-Dimensional Disease-Specific Heterogeneous Data. CBMS (2007)
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Oleksandr Pechenizkiy
Class Noise and Supervised Learning in Medical Domains: The Effect of Feature Extraction. CBMS (2006)
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
Local Dimensionality Reduction and Supervised Learning Within Natural Clusters for Biomedical Data Analysis. IEEE Trans. Inf. Technol. Biomed. 10 (3) (2006)
Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen
Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections. CBMS (2006)
Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
Dynamic Integration with Random Forests. ECML (2006)
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
Keynote Paper: Data Mining Researcher, Who is Your Customer? Some Issues Inspired by the Information Systems Field. DEXA Workshops (2006)
Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal
A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. FLAIRS Conference (2006)
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
The impact of sample reduction on PCA-based feature extraction for supervised learning. SAC (2006)
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis. CBMS (2005)
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
Knowledge Management Challenges in Knowledge Discovery Systems. DEXA Workshops (2005)
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
Competitive Advantage from Data Mining: Some Lessons Learnt in the Information Systems Field. DEXA Workshops (2005)
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova
Knowledge Discovery from Microbiology Data: Many-Sided Analysis of Antibiotic Resistance in Nosocomial Infections. Wissensmanagement (LNCS Volume) (2005)
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, Michael A. Shifrin, Irina Alexandrova
Knowledge Discovery in Microbiology Data: Analysis of Antibiotic Resistance in Nosocomial Infections. Wissensmanagement (2005)
Sarah Jane Delany, Padraig Cunningham, Alexey Tsymbal, Lorcan Coyle
A case-based technique for tracking concept drift in spam filtering. Knowl. Based Syst. 18 (4-5) (2005)
Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
Diversity in search strategies for ensemble feature selection. Inf. Fusion 6 (1) (2005)
Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
Sequential Genetic Search for Ensemble Feature Selection. IJCAI (2005)
Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal
Dynamic Integration of Regression Models. Multiple Classifier Systems (2004)
Sarah Jane Delany, Pádraig Cunningham, Alexey Tsymbal, Lorcan Coyle
A Case-Based Technique for Tracking Concept Drift in Spam Filtering. SGAI Conf. (Applications) (2004)
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
PCA-based Feature Transformation for Classification: Issues in Medical Diagnostics. CBMS (2004)
Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham
Diversity in Random Subspacing Ensembles. DaWaK (2004)
Derek Greene, Alexey Tsymbal, Nadia Bolshakova, Padraig Cunningham
Ensemble Clustering in Medical Diagnostics. CBMS (2004)
Niall Rooney, David W. Patterson, Sarab S. Anand, Alexey Tsymbal
Random Subspacing for Regression Ensembles. FLAIRS Conference (2004)
Alexey Tsymbal, Seppo Puuronen, David W. Patterson
Ensemble feature selection with the simple Bayesian classification. Inf. Fusion 4 (2) (2003)
Alexey Tsymbal, Mykola Pechenizkiy, Seppo Puuronen, David W. Patterson
Dynamic Integration of Classifiers in the Space of Principal Components. ADBIS (2003)
Alexey Tsymbal, Padraig Cunningham, Mykola Pechenizkiy, Seppo Puuronen
Search Strategies for Ensemble Feature Selection in Medical Diagnostics. CBMS (2003)
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
Feature Extraction for Classification in Knowledge Discovery Systems. KES (2003)
Alexey Tsymbal, Seppo Puuronen, Mykola Pechenizkiy, Matthias Baumgarten, David W. Patterson
Eigenvector-Based Feature Extraction for Classification. FLAIRS Conference (2002)
Alexey Tsymbal, Seppo Puuronen
Ensemble Feature election with the Simple Bayesian Classification in Medical Diagnostics. CBMS (2002)
Alexey Tsymbal, Seppo Puuronen, David W. Patterson
Feature Selection for Ensembles of Simple Bayesian Classifiers. ISMIS (2002)
Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal
Ensemble Feature Selection Based on the Contextual Merit. DaWaK (2001)
Seppo Puuronen, Iryna Skrypnyk, Alexey Tsymbal
Ensemble Feature Selection Based on Contextual Merit and Correlation Heuristics. ADBIS (2001)
Seppo Puuronen, Alexey Tsymbal
Local Feature Selection with Dynamic Integration of Classifiers. Fundam. Informaticae 47 (1-2) (2001)
Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk
Correlation-Based and Contextual Merit-Based Ensemble Feature Selection. IDA (2001)
Alexey Tsymbal
Decision Committee Learning with Dynamic Integration of Classifiers. ADBIS-DASFAA (2000)
Alexey Tsymbal, Seppo Puuronen
Local Feature Selection with Dynamic Integration of Classifiers. ISMIS (2000)
Seppo Puuronen, Alexey Tsymbal, Vagan Y. Terziyan
Distance functions in dynamic integration of data mining techniques. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2000)
Alexey Tsymbal, Seppo Puuronen
Dynamic Integration of Decision Committees. HiPC (2000)
Alexey Tsymbal, Seppo Puuronen
Bagging and Boosting with Dynamic Integration of Classifiers. PKDD (2000)
Seppo Puuronen, Alexey Tsymbal, Iryna Skrypnyk
Advanced Local Feature Selection in Medical Diagnostics. CBMS (2000)
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation. ADBIS (1999)
Seppo Puuronen, Vagan Y. Terziyan, Alexey Tsymbal
A Dynamic Integration Algorithm for an Ensemble of Classifiers. ISMIS (1999)
Seppo Puuronen, Vagan Y. Terziyan, Artyom Katasonov, Alexey Tsymbal
Dynamic integration of multiple data mining techniques in a knowledge discovery management system. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (1999)
Irina Skrypnik, Vagan Y. Terziyan, Seppo Puuronen, Alexey Tsymbal
Learning Feature Selection for Medical Databases. CBMS (1999)
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan
Advanced Dynamic Selection of Diagnostic Methods. CBMS (1998)
Vagan Y. Terziyan, Alexey Tsymbal, Seppo Puuronen
The decision support system for telemedicine based on multiple expertise. Int. J. Medical Informatics 49 (2) (1998)