L. Lhotská

Lenka Lhotska, Jakub Kuzilek, Martin Hanuliak, 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010).

Classification of the EEG feature components

Lenka Lhotska, Michal Vavrecka, Jakub Kuzilek, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

The GAME Algorithm Applied to Complex Fractionated Atrial Electrograms Data Set

Pavel Kordík, Lenka Lhotská, Václav Kremen, 2008, ICANN.

Evaluation of Novel Algorithm for Search of Signal Complexes to Describe Complex Fractionated Atrial Electrogram

Lenka Lhotská, Václav Kremen, V. Kremen, 2008, BIOSIGNALS.

Novel approach to search for individual signal complexes in complex fractionated atrial electrograms using wavelet transform

V. Kremen, L. Lhotska, V. Kremen, 2007, 2007 6th International Special Topic Conference on Information Technology Applications in Biomedicine.

Comparison of two time-domain methods to identify complex fractionated atrial electrograms for navigation during catheter ablation of electrophysiological substrate of atrial fibrillation

Lenka Lhotska, Vaclav Kremen, V. Kremen, 2007 .

HLA haplotypes frequencies tool for support of search for unrelated stem cells donors

L. Lhotská, D. Steiner, J. Brož, 2009 .

Using nonlinear features for fetal heart rate classification

Lenka Lhotská, Chrysostomos D. Stylios, George K. Georgoulas, 2012, Biomed. Signal Process. Control..

Automatic Classification of Intrapartal Fetal Heart-Rate Recordings - Can It Compete with Experts?

Lenka Lhotská, Chrysostomos D. Stylios, George K. Georgoulas, 2010, ITBAM.

Comparison of Linear and Non-linear Features for Intrapartum Cardiotocography Evaluation – Clinical Usability vs . Contribution to Classification

Lenka Lhotská, Ek, Michal Huptych, 2010 .

Assessment of non-linear features for intrapartal fetal heart rate classification

L. Lhotska, V. Chudacek, L. Lhotská, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Prediction of Shunt Responsiveness in Suspected Patients With Normal Pressure Hydrocephalus Using the Lumbar Infusion Test: A Machine Learning Approach

V. Gerla, L. Lhotská, O. Bradáč, 2022, Neurosurgery.

Semi-Automated Sleep EEG Scoring with Active Learning and HMM-Based Deletion of Ambiguous Instances

Lenka Lhotska, Vaclav Gerla, Nela Grimova, 2019, UCAmI.

Active Learning for Semiautomatic Sleep Staging and Transitional EEG Segments

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Hidden Markov models for analysis of eye movements of dyslexic children

Lenka Lhotská, Martin Macas, Daniel Novák, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

The Use of Ant Colony Inspired Methods in Electrocardiogram Interpretation , an Overview

Lenka Lhotská, Miroslav Burša, L. Lhotská, 2006 .

School children dyslexia analysis using self organizing maps

M. Macas, L. Lhotska, D. Novak, 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Scoring system for 12 lead ECG quality assessment

Lenka Lhotska, J. Kuzilek, T. Odstrcilik, 2012, 2012 Computing in Cardiology.

Hybridized Swarm Metaheuristics for Evolutionary Random Forest Generation

Lenka Lhotská, Martin Macas, Miroslav Bursa, 2007, 7th International Conference on Hybrid Intelligent Systems (HIS 2007).

Wrapper feature selection for small sample size data driven by complete error estimates

Lenka Lhotská, Martin Macas, Robert Jech, 2012, Comput. Methods Programs Biomed..

A Software for Preprocessing Experimental BSPM Signals for a CRT Study

Michal Huptych, Lenka Lhotska, Matěj Hrachovina, 2019, UCAmI.

Investigating pH based evaluation of fetal heart rate (FHR) recordings

Lenka Lhotská, Chrysostomos D. Stylios, George Georgoulas, 2017, Health and Technology.

Combining latent class analysis labeling with multiclass approach for fetal heart rate categorization

L Lhotská, P Karvelis, J Spilka, 2015, Physiological measurement.

Discriminating Normal from "Abnormal" Pregnancy Cases Using an Automated FHR Evaluation Method

Lenka Lhotská, Chrysostomos D. Stylios, George K. Georgoulas, 2014, SETN.

Automatic Evaluation of FHR Recordings from CTU-UHB CTG Database

Lenka Lhotská, Vangelis P. Oikonomou, Chrysostomos D. Stylios, 2013, ITBAM.

The impact of COVID‐19 pandemic on gender‐related work from home in STEM fields—Report of the WiMPBME Task Group

P. H. Tan, M. Frize, L. Lhotská, 2021, Gender, work, and organization.

Application of Industry 4.0 Concept to Health Care

Lenka Lhotska, L. Lhotská, 2020, pHealth.

Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal EEG investigation.

A. Burkitt, L. Kuhlmann, B. Brinkmann, 2021, medRxiv.

Automatic identification of artifacts and unwanted physiologic signals in EEG and EOG during wakefulness

Lenka Lhotská, Václav Gerla, Elizaveta Saifutdinova, 2017, Biomed. Signal Process. Control..

Medical applications of enhanced rule-based expert systems

Lenka Lhotská, Vladimír Marík, Tomás Vlcek, 2001, Int. J. Medical Informatics.

Semi-automated detection of polysomnographic REM sleep without atonia (RSWA) in REM sleep behavioral disorder

Lenka Lhotská, Václav Gerla, Iva Milerska, 2019, Biomed. Signal Process. Control..

Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering

V Gerla, V. Kremen, M. Macas, 2019, Journal of Neuroscience Methods.

Expert-in-the-loop Learning for Sleep EEG Data

Lenka Lhotská, Martin Macas, Václav Gerla, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Hybrid Hierarchical Clustering Algorithm Used for Large Datasets: A Pilot Study on Long-Term Sleep Data

Vaclav Gerla, Elizaveta Saifutdinova, Martin Macas, 2017, BHI 2017.

Riemannian Geometry in Sleep Stage Classification

Lenka Lhotská, Václav Gerla, Elizaveta Saifutdinova, 2017, ITBAM.

Problems of learning in multi-agent systems

Lenka Lhotská, Olga Stepánková, Jirí Kléma, 1998, BASYS.

Learning in Multi-Agent Systems: Theoretical Issues

Lenka Lhotská, L. Lhotská, 1997, EUROCAST.

Information Technology in Bio- and Medical Informatics

Lenka Lhotska, Vaclav Chudacek, Petr Janku, 2012, Lecture Notes in Computer Science.

A three class treatment of the FHR classification problem using latent class analysis labeling

Lenka Lhotská, Chrysostomos D. Stylios, George K. Georgoulas, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Challenges and trends in Ambient Assisted Living and intelligent tools for disabled and elderly people

Ales Procházka, Oldrich Vysata, Lenka Lhotská, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Il progetto Europeo K4CARE (Knowledge-Based HomeCare eServices for an Ageing Europe): un sistema intelligente per l'assistenza domiciliare all'anziano

David Riaño, L. Lhotska, Roberta Annicchiarico, 2004 .

Comparison of Inductive Modeling Method to Other Classification Methods for Holter ECG

C. Stylios, G. Georgoulas, L. Lhotská, 2022 .

Controlling a PC by Eye Movements: The MEMREC Project

Lenka Lhotská, Marcela Fejtová, Jan Fejt, 2004, ICCHP.

Discrimination of endocardial electrogram disorganization using a signal regularity analysis

V. Kremen, L. Lhotska, D. Novak, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

EEG Data Mining Using PCA

Vladimir Krajca, Jitka Mohylová, Svojmil Petránek, 2009 .

IMPROVED ANT COLONY INSPIRED ALGORITHMS IN BIOMEDICAL DATA PROCESSING

L. Lhotska, Michal Huptych, M. Bursa, 2008 .

Deep neural network based body posture recognitions and fall detection from low resolution infrared array sensor

Lenka Lhotská, Jaromir Dolezal, Martin Macas, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Database and Expert Systems Applications

A Min Tjoa, Sebastian Link, Hendrik Decker, 2013, Lecture Notes in Computer Science.

Improving Prediction of Glycaemia Course After Different Meals—New Individualized Approach

L. Lhotská, K. Stechová, J. Hlubik, 2018, IFMBE Proceedings.

Artificial Intelligence and Women Researchers in the Czech Republic

L. Lhotská, O. Štěpánková, 2022, Applied Sciences.

Importance and Quality of Eating Related Photos in Diabetics

Lenka Lhotská, Martin Macas, Kyriaki Saiti, 2016, ITBAM.

Interoperability of Medical Devices and Information Systems

Lenka Lhotska, Michal Huptych, Vaclav Chudacek, 2013 .

Detection of Sleep Stages in Temporal Profiles in Neonatal EEG—k-NN versus k-Means Approach: A Feasibility Study

Vladimir Krajca, Lenka Lhotska, Vaclav Gerla, 2018, IFMBE Proceedings.

Detection of sleep stages in neonatal EEG records

Vladimir Krajca, Lenka Lhotska, Jan Strobl, 2017 .

Electroencephalogram processing using Hidden Markov Models

L. Lhotská, D. Novák, L. Lhotská, 2004 .

Instance-Based Modelling in Medical Systems

Lenka Lhotská, L. Lhotská, 2022 .

METHODS AND TOOLS FOR PROCESSING BIOSIGNALS: A SURVEY PAPER

G. Georgoulas, L. Lhotská, V. Chudácek, 2005 .

Independent Component Analysis and Decision Trees for ECG Holter Recording De-Noising

Lenka Lhotska, Jakub Kuzilek, Vaclav Kremen, 2014, PloS one.

Classification of the emotional states based on the EEG signal processing

M. Macas, V. Gerla, L. Lhotska, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Examining cross-database global training to evaluate five different methods for ventricular beat classification

L Lhotská, G Georgoulas, V Chudácek, 2009, Physiological measurement.

Solutions to Gender Balance in STEM Fields Through Support, Training, Education and Mentoring: Report of the International Women in Medical Physics and Biomedical Engineering Task Group

L. Lhotská, E. Kaldoudi, Fatimah Ibrahim, 2019, Science and Engineering Ethics.

Women in Biomedical Engineering and Medical Physics in the Czech Republic

L. Lhotská, 2018, IFMBE Proceedings.

Ant Colony Inspired Clustering in Biomedical Data Processing

Lenka Lhotska, Miroslav Bursa, L. Lhotská, 2007 .

Special Issue on Database- and Expert-Systems Applications on Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIV - Volume 9510

Sebastian Link, Hendrik Decker, Abdelkader Hameurlain, 2016 .

Particle Swarm Optimization Based Adaptable Predictor of Glycemia Values

Lenka Lhotská, Martin Macas, Kyriaki Saiti, 2017, 2017 3rd IEEE International Conference on Cybernetics (CYBCON).

Recommendation System: A Contribution to Glycaemia Excursion Identification

Lenka Lhotska, Michal Huptych, Miroslav Bursa, 2016 .

Single Camera-Based Remote Physical Therapy: Verification on a Large Video Dataset

P. Kutílek, J. Dolezal, L. Lhotská, 2022, Applied Sciences.

Social Impact and Optimization

Lenka Lhotska, Martin Macaš, L. Lhotská, 2008 .

From head micro-motions towards CSF dynamics and non-invasive intracranial pressure monitoring

Helen Whitley, P. Seba, V. Gerla, 2021, Scientific Reports.

An adaptive method for the recovery of missing samples from FHR time series

Lenka Lhotská, Vangelis P. Oikonomou, Chrysostomos D. Stylios, 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

PSGLab Matlab toolbox for polysomnographic data processing: Development and practical application

Vladimir Krajca, Lenka Lhotska, Vladana Djordjevic, 2010, Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine.

Adaptable microsleep detection based on EOG signals: A feasibility study

Lenka Lhotská, Martin Holub, Martina Srutová, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

Automatic evaluation of intrapartum fetal heart rate recordings: a comprehensive analysis of useful features

L Lhotská, J Spilka, V Chudáček, 2011, Physiological measurement.

A new approach to automated assessment of fractionation of endocardial electrograms during atrial fibrillation

V Kremen, L Lhotská, M Macas, 2008, Physiological measurement.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII

Sebastian Link, Hendrik Decker, Abdelkader Hameurlain, 2015, Lecture Notes in Computer Science.

Boosting phase-contrast MRI performance in idiopathic normal pressure hydrocephalus diagnostics by means of machine learning approach.

Helen Whitley, V. Gerla, L. Lhotská, 2022, Neurosurgical focus.

Outcome of resynchronization therapy on superficial and endocardial electrophysiological findings.

V. Suchánek, L. Lhotská, J. Veselka, 2018, Physiological research.

EEG Data and Data Analysis Visualization

Lenka Lhotská, Vladimir Krajca, Josef Rieger, 2004, ISBMDA.

Multimedia support in the field of interdisciplinary education

Vladimir Krajca, Lenka Lhotska, Michal Huptych, 2009, 2009 EAEEIE Annual Conference.

Visualization methods used for evaluation of neonatal polysomnographic data

Vladimir Krajca, Lenka Lhotska, Vladana Djordjevic, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Empowering lower limbs exoskeletons: state-of-the-art

Lenka Lhotská, Slavka Viteckova, Patrik Kutilek, 2018, Robotica.

Ant inspired techniques in textual information retrieval from a hospital information system

Lenka Lhotská, Michal Huptych, Miroslav Bursa, 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

Nature Inspired Methods in the Radial Basis Function Network Learning Process

Lenka Lhotská, Miroslav Bursa, L. Lhotská, 2008, ICANN.

Twenty five years of training and education in ICT Design for All and Assistive Technology

Frode Eika Sandnes, Gill Whitney, Constantine Stephanidis, 2011 .

Wrapper Feature Selection Significantly Improves Nonlinear Prediction of Electricity Spot Prices

Lenka Lhotská, Martin Macas, L. Lhotská, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

Investigating pH based evaluation of fetal heart rate (FHR) recordings

C. Stylios, G. Georgoulas, L. Lhotská, 2017, Health and technology.

An exploratory approach to fetal heart rate–pH-based systems

George Nikolakopoulos, Chrysostomos D. Stylios, Lenka Lhotska, 2020, Signal Image Video Process..

An exploratory approach to fetal heart rate–pH-based systems

G. Nikolakopoulos, C. Stylios, G. Georgoulas, 2020, Signal, Image and Video Processing.

Analysis of obstetricians' decision making on CTG recordings

Lenka Lhotská, Michal Huptych, Miroslav Bursa, 2014, J. Biomed. Informatics.

Obstetric Medical Record Processing and Information Retrieval

Lenka Lhotská, Michal Huptych, Miroslav Bursa, 2011, eHealth.

Artificial Intelligence Methods in Electrocardiogram and Electroencephalogram Data Clustering

Lenka Lhotská, Miroslav Bursa, L. Lhotská, 2009, Int. J. Comput. Intell. Appl..

Ant Colonies and Data Mining

Lenka Lhotska, Miroslav Bursa, L. Lhotská, 2009 .

Ant Colony Inspired Metaheuristics in Biological Signal Processing - Hybrid Ant Colony and Evolutionary Approach

Lenka Lhotská, Michal Huptych, Miroslav Bursa, 2008, BIOSIGNALS.

Ant Colony Cooperative Strategy in Electrocardiogram and Electroencephalogram Data Clustering

Lenka Lhotská, Miroslav Bursa, L. Lhotská, 2007, NICSO.

Classification of Fetal Heart Rate Signals Based on Features Selected Using the Binary Particle Swarm Algorithm

Chrysostomos D. Stylios, Lenka Lhotska, Vaclav Chudacek, 2007 .

Number of arrhythmia beats determination in Holter electrocardiogram: how many clusters?

L. Lhotska, D. Novak, D. Cueta-Frau, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Sleep spindles detection using Empirical Mode Decomposition

Lenka Lhotská, Václav Gerla, Elizaveta Saifutdinova, 2015, 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM).

The Biggest Challenges Resulting from the COVID-19 Pandemic on Gender-Related Work from Home in Biomedical Fields—World-Wide Qualitative Survey Analysis

P. H. Tan, L. Lhotská, Sierin Lim, 2022, International journal of environmental research and public health.

A Pipeline for Population and Analysis of Personal Health Knowledge Graphs (PHKGs)

M. Huptych, L. Lhotská, Dagmar Celuchova Bosanska, 2022, International Conference on Semantic Systems.

Specific rehabilitation exercise for the treatment of patients with chronic low back pain

L. Lhotská, M. Lippert-Grüner, M. Tomanová, 2015, Journal of physical therapy science.

Representation and Interpretation of Genetic Analysis: A Strategy of Development for the Personal Genetics Card Information System

Michal Huptych, Lenka Lhotská, M. Huptych, 2020, pHealth.

Body Impedance Analysis

L. Lhotská, P. Hlúbik, J. Hlubik, 2009 .

Data driven approach to ECG signal quality assessment using multistep SVM classification

Michal Huptych, Jakub Kuzilek, Vaclav Chudacek, 2011, 2011 Computing in Cardiology.

Evaluation of eHealth assistance in-hospital care for improved quality of life in patients

L. Lhotská, Oto Potluka, T. Nečas, 2023, Evaluation and Program Planning.

Robot Path Planning using Particle Swarm Optimization of Ferguson Splines

Libor Preucil, Lenka Lhotská, Martin Saska, 2006, 2006 IEEE Conference on Emerging Technologies and Factory Automation.

Monitoring of Physiological Signs Using Telemonitoring System

Lenka Lhotská, Jan Dvorák, Jakub Parák, 2011, ITBAM.

System Approach to AAL Applications: A Case Study

Lenka Lhotská, Jan Havlík, Petr Panyrek, 2011, IWAAL.

Telemedicine: New Approach to Modern Education of Medical Electronics

Lenka Lhotska, Jan Dvorak, Jan Havlík, 2011 .

Application of Soft Computing Techniques to Classification of Licensed Subjects

Lenka Lhotská, Jirí Kubalík, Marcel Jirina, 2004, BASYS.

PSO and ACO in Optimization Problems

Lenka Lhotská, Martin Macas, Miroslav Bursa, 2006, IDEAL.

Discriminating between V and N Beats from ECGs Introducing an Integrated Reduced Representation along with a Neural Network Classifier

Lenka Lhotská, Chrysostomos D. Stylios, George K. Georgoulas, 2009, ICANN.

Is it possible to distinguish different types of ECG-holter beats based solely on features obtained from windowed QRS complex?

Chrysostomos D. Stylios, Lenka Lhotska, Vaclav Chudacek, 2009 .

Multi-Agent System as a Platform for Management of Medical Documentation

L. Lhotska, L. Lhotská, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Multi-agent System for Information Retrieval

Lenka Lhotská, Laura Prieto, L. Lhotská, 2007, EUROCAST.

Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII

R. Wagner, J. Küng, A. Hameurlain, 2015, Lecture Notes in Computer Science.

FUZZY RULE BASED DECISION TREE CLASSIFICATION OF ECG HOLTER BEATS

Lenka Lhotska, Michal Huptych, Vaclav Chudacek, 2008 .

Generalization of Rule-Based Decision Tree to Fuzzy Intervals for ECG-Beat Clustering

L. Lhotska, M. Petrik, V. Chudacek, 2007, 2007 IEEE Workshop on Machine Learning for Signal Processing.

Towards Personalized Medication

Lenka Lhotská, Michal Huptych, Jirí Potucek, 2021, pHealth.

System Approach to Complex Signal Processing Task

Lenka Lhotská, Vladimir Krajca, Vladana Djordjevic, 2009, EUROCAST.

Multivariate Analysis of Full-Term Neonatal Polysomnographic Data

Lenka Lhotská, Vladimir Krajca, Karel Paul, 2009, IEEE Transactions on Information Technology in Biomedicine.

Comparison of JADE and Canonical Correlation Analysis for ECG de-noising

Lenka Lhotská, Jakub Kuzilek, Václav Kremen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Practical Problems and Solutions in Hospital Information System Data Mining

Lenka Lhotská, Miroslav Bursa, Václav Chudácek, 2012, ITBAM.

Modified Ant Colony Clustering Method in Long-term Electrocardiogram Processing

L. Lhotska, M. Bursa, L. Lhotská, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Discrete and Continuous Aspects of Nature Inspired Methods

Lenka Lhotská, Martin Macas, Miroslav Bursa, 2006, KES.

Visualization in Information Retrieval from Hospital Information System

Lenka Lhotská, Miroslav Bursa, Václav Chudácek, 2012, SOCO.

Nature Inspired Concepts in Long-Term Electrocardiogram Clustering

Lenka Lhotska, Miroslav Bursa, L. Lhotská, 2009 .

EEG Feature Selection Based on Time Series Classification

Lenka Lhotská, Michal Vavrecka, M. Vavrecka, 2013, MLDM.

The Use of Convolutional Neural Networks in Biomedical Data Processing

Lenka Lhotská, Miroslav Bursa, L. Lhotská, 2017, ITBAM.

Advanced signal processing techniques for fetal ECG analysis

Lenka Lhotská, Jakub Kuzilek, L. Lhotská, 2013, Computing in Cardiology 2013.

Comparison of seven approaches for holter ECG clustering and classification

L. Lhotska, M. Cepek, G. Georgoulas, 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Morphology analysis of physiological signals using hidden Markov models

Lenka Lhotská, Yskandar Hamam, Mateo Aboy, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Beat Detection Enhancing using AdaBoost

Lenka Lhotská, Jakub Kuzilek, L. Lhotská, 2013, BIOSIGNALS.

Automated Classification Tree Evolution Through Hybrid Metaheuristics

Lenka Lhotská, Miroslav Bursa, L. Lhotská, 2008, Innovations in Hybrid Intelligent Systems.

Comparison of Methods for Premature Ventricular Beat Detection

Lenka Lhotská, Chrysostomos Stylios, George Georgoulas, 2006 .

Using EfficientNet-B7 (CNN), Variational Auto Encoder (VAE) and Siamese Twins’ Networks to Evaluate Human Exercises as Super Objects in a TSSCI Images

L. Lhotská, O. Hadar, Yoram Segal, 2023, Journal of personalized medicine.

Multimethod machine learning approach for medical diagnosing

P. Kokol, L. Lhotska, V. Podgorelec, 2003, 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003..

Machine learning helps physicians in diagnosing of mitral valve prolapse

Peter Kokol, Mitja Lenic, Rado Pišot, 2003 .

Proceedings of the 24th International Conference on Database and Expert Systems Applications - Volume 8055

Sebastian Link, Hendrik Decker, Josef Basl, 2013 .

CTG Annotator – Novel Tool for Better Insight into Expert-obstetrician Decision Making Processes

Lenka Lhotska, Michal Huptych, Vaclav Chudacek, 2013 .

Fetal heart rate data pre-processing and annotation

M. Huptych, L. Lhotská, V. Chudácek, 2009, 2009 9th International Conference on Information Technology and Applications in Biomedicine.

Evaluation of feature subsets for classification of cardiotocographic recordings

L. Lhotska, G. Georgoulas, C. Stylios, 2008, 2008 Computers in Cardiology.