Životopis

Curriculum Vitae

Person-Related Identification Information

• RNDr. Eva Koriťáková, Ph.D. (née Janoušová)
• Born on 10th August 1986 in Brno, CZ

Department/University

• Institute of Biostatistics and Analyses at the Faculty of Medicine of the Masaryk University, Brno, CZ

Employment - Position

• Data analyst

Education and Academic Qualifications

• 2016: Ph.D. in Neuroscience (Project: Modern Pattern Recognition Methods for Image Data Analysis in Neuropsychiatric Research), Masaryk University, Brno, CZ
• 2010: RNDr. in Mathematical Biology (Project: A Novel MATLAB Toolbox for Analysis of Brain MRI Data), Masaryk University, Brno, CZ
• 2010: M.Sc. in Mathematical Biology (Project: Modern Methods for Image Data Analysis in Neuropsychiatric Research), Masaryk University, Brno, CZ
• 2008: B.Sc. in Mathematical Biology (Project: Statistical Methods for Segmentation in MRI Brain Images), Masaryk University, Brno, CZ

Professional Experience

• 2017 - : Analyst, Institute of Biostatistics and Analyses, Ltd., Brno, CZ
• 2014-2017: Information Technology Analyst, Institute of Health Information and Statistics of the Czech Republic, Brno, CZ
• 2009 - : Data Analyst, Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, CZ

Teaching Activities

• Courses: Data analysis for Neuroscience, Advanced Data Analysis for Neuroscience, Analysis and classification of data, Multivariate Methods – practices, Team Project of the Mathematical Biology, Biostatistics for Computational Biology (seminar)
• Supervisor of bachelor's theses: Pattern recognition methods for image data analysis, Searching for associations between brain structure and cognitive functions, Evaluation of treatment efficacy and survival in patients with chronic lymphocytic leukaemia, Influence of a size of data files on results of statistical tests
• Supervisor of master’s theses: Brain image classification using neural networks in neuroscientific research, New prognostic score for the evaluation of survival and treatment response in patients with chronic myeloid leukaemia, Multiple kernel learning methods and its usage for image data classification in neuropsychiatry research, Mixed models for data analysis in medical research
• Co-organizer of the 10th Summer School on Computational Biology entitled Image Data Analysis and Processing in Neuroscience (2014)

Scientific and Research Activities

• Biostatistics, medical data analysis, analysis and classification of images, computational neuroanatomy, neuroscience, hemato-oncology
• Software: Matlab, R, SPSS, Statistica, Microsoft Office, LaTeX
• Investigator of the projects: FRVS/942/2013 - Innovation of materials for interactive teaching and self-study of the course Data analysis for Neuroscience; MUNI/FR/0260/2014 – Advanced Data Analysis for Neuroscience as a novel course at the Faculty of Medicine, Masaryk University
• Co-investigator of projects: 2009-2011: IGA No. 10347/3 - Modern Pattern Recognition Methods for Image Data Analysis in Neuropsychiatric Research; 2009-2011: IGA No. 9893/4 – Prediction of Clinical Course in First-Episode Schizophrenia Using Brain Morphometry; 2012-2015: IGA 13359/4 Advanced Methods for Recognition of MR Brain Images for Computer Aided Diagnosis of Neuropsychiatric Disorders; 2016-2019: AZV No. 16-31028A Efficacy of new spectroscopic biomarkers for detection of early stage pancreatic cancer

Internship and stays for the purpose of study or work

• 2014/01/03 – 2014/03/31: University of Bergen, Bergen, Other programs, NOR
• 2013/08/22 – 2013/09/04: University of Bergen, Bergen, Other programs, NOR
• 2011/10/01 – 2012/03/04: University of Bergen, Bergen, Other programs, NOR
• 2010/10/18 – 2011/04/15: Imperial College, London, London, Other programs, GBR

Awards Related to Science and Research

• 2010: 1st prize in student’s competition on 20th Biennial International EURASIP Conference BIOSIGNAL 2010
• 2011: 1st prize for best submitted paper at 15th Annual Conference Medical Image Understanding and Analysis 2011

Major Publications

• ANDERKOVÁ, Ľubomíra, Dominik PIŽEM, Patrícia KLOBUŠIAKOVÁ, Martin GAJDOŠ, Eva KORIŤÁKOVÁ a Irena REKTOROVÁ. Theta burst stimulation enhances connectivity of the dorsal attention network in young healthysubjects: An exploratory study. Neural Plasticity. Freund and Pettman, 2018, roč. 2018, č. 2018, s. 3106918-3106923. ISSN 2090-5904. Dostupné z: https://dx.doi.org/10.1155/2018/3106918. info
• JAROŠOVÁ, Marie, M. HRUBA, Alexandra OLTOVÁ, Karla PLEVOVÁ, L. KRUZOVA, E. KRIEGOVA, R. FILLEROVA, Eva KORIŤÁKOVÁ, Michael DOUBEK, D. LYSAK, V. PROCHAZKA, Marek MRÁZ, K. INDRAK a T. PAPAJIK. Chromosome 6q deletion correlates with poor prognosis and low relative expression of FOXO3 in chronic lymphocytic leukemia patients. American Journal of Hematology. NJ 07030-577 United States: John Wiley & Sons, 2017, roč. 92, č. 10, s. "E604"-"E607", 5 s. ISSN 0361-8609. Dostupné z: https://dx.doi.org/10.1002/ajh.24852. info
• JANOUŠOVÁ, Eva. Penalised Reduction & Classification Toolbox. 2016. URL info
• JANOUŠOVÁ, Eva, Giovanni MONTANA, Tomáš KAŠPÁREK a Daniel SCHWARZ. Supervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research. Frontiers in Neuroscience. Lausanne: Frontiers Media S.A., 2016, roč. 10, AUG, s. 1-15. ISSN 1662-453X. Dostupné z: https://dx.doi.org/10.3389/fnins.2016.00392. info
• REKTOROVÁ, Irena, Jiri MEKYSKA, Eva KORIŤÁKOVÁ, Milena KOŠŤÁLOVÁ, Ilona ELIÁŠOVÁ, Martina MRAČKOVÁ, Dagmar BERÁNKOVÁ, Tereza NEČASOVÁ, Zdenek SMEKAL a Radek MAREČEK. Speech prosody impairment predicts cognitive decline in Parkinson's disease. PARKINSONISM & RELATED DISORDERS. OXFORD: ELSEVIER SCI LTD, 2016, roč. 29, August, s. 90-95. ISSN 1353-8020. Dostupné z: https://dx.doi.org/10.1016/j.parkreldis.2016.05.018. URL info
• ANDERKOVÁ, Ľubomíra, Ilona ELIÁŠOVÁ, Radek MAREČEK, Eva JANOUŠOVÁ a Irena REKTOROVÁ. Distinct Pattern of Gray Matter Atrophy in Mild Alzheimer’s Disease Impacts on Cognitive Outcomes of Noninvasive Brain Stimulation. JOURNAL OF ALZHEIMERS DISEASE. AMSTERDAM: IOS PRESS, 2015, roč. 48, č. 1, s. 251-260. ISSN 1387-2877. Dostupné z: https://dx.doi.org/10.3233/JAD-150067. URL info
• JANOUŠOVÁ, Eva, Daniel SCHWARZ a Tomáš KAŠPÁREK. Combining various types of classifiers and features extracted from magnetic resonance imaging data in schizophrenia recognition. Psychiatry Research: Neuroimaging. CLARE: ELSEVIER IRELAND LTD, 2015, roč. 232, č. 3, s. 237-249. ISSN 0925-4927. Dostupné z: https://dx.doi.org/10.1016/j.pscychresns.2015.03.004. info
• MEKYSKA, Jiří, Eva JANOUŠOVÁ, Pedro GOMEZ-VILDA, Zdeněk SMÉKAL, Irena REKTOROVÁ, Ilona ELIÁŠOVÁ, Milena KOŠŤÁLOVÁ, Martina MRAČKOVÁ, Jesus B. ALONSO-HERNANDEZ, Marcos FAUNDEZ-ZANUY a Karmele LOPEZ-DE-IPINA. Robust and complex approach of pathological speech signal analysis. Neurocomputing. AMSTERDAM: ELSEVIER SCIENCE BV, 2015, roč. 167, November, s. 94-111. ISSN 0925-2312. Dostupné z: https://dx.doi.org/10.1016/j.neucom.2015.02.085. URL info
• JANOUŠOVÁ, Eva, Jiří HOLČÍK, Danka HARUŠTIAKOVÁ, Simona LITTNEROVÁ a Jiří JARKOVSKÝ. Vícerozměrné metody pro analýzu a klasifikaci dat. Online. In HOLČÍK, Jiří, KOMENDA, Martin. Matematická biologie: e-learningová učebnice. 1. vydání. Brno: Masarykova univerzita, 2015. ISBN 978-80-210-8095-9. URL info
• ŠÁLEK, David, Pavla VESELÁ, Ludmila BOUDOVÁ, Andrea JANÍKOVÁ, Pavel KLENER, Samuel VOKURKA, Milada JANKOVSKA, Robert PYTLIK, David BELADA, Jan PIRNOS, Mojmír MOULIS, Roman KODET, Michal MICHAL, Eva JANOUŠOVÁ, Jan MUŽÍK, Jiří MAYER a Marek TRNĚNÝ. Retrospective analysis of 235 unselected patients with mantle cell lymphoma confirms prognostic relevance of Mantle Cell Lymphoma International Prognostic Index and Ki-67 in the era of rituximab: long-term data from the Czech Lymphoma Project Database. Leukemia & lymphoma. London: Informa Healthcare, 2014, roč. 55, č. 4, s. 802-810. ISSN 1042-8194. Dostupné z: https://dx.doi.org/10.3109/10428194.2013.815349. info
• JANOUŠOVÁ, Eva, Tomáš PAVLÍK, Jiří MAYER a Ladislav DUŠEK. currentSurvival: Estimation of CCI and CLFS Functions. 2013. Příslušný R package na domovské stránce softwaru R Domovská stránka softwaru info
• VOUNOU, Maria, Eva JANOUŠOVÁ, Robin WOLZ, Jason L STEIN, Paul M THOMPSON, Daniel RUECKERT a Giovanni MONTANA. Sparse reduced-rank regression detects genetic associations with voxel-wise longitudinal phenotypes in Alzheimer's disease. Neuroimage. Spojené státy americké: Elsevier, 2012, roč. 60, č. 1, s. 700-716. ISSN 1053-8119. Dostupné z: https://dx.doi.org/10.1016/j.neuroimage.2011.12.029. URL info
• SILVER, Matt, Eva JANOUŠOVÁ, Xue HUA, Paul M. THOMPSON a Giovanni MONTANA. Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression. Neuroimage. Elsevier, 2012, roč. 63, č. 3, s. 1681-1694. ISSN 1053-8119. Dostupné z: https://dx.doi.org/10.1016/j.neuroimage.2012.08.002. info
• KAŠPÁREK, Tomáš, Carlos Eduardo THOMAZ, Joao Ricardo SATO, Daniel SCHWARZ, Eva JANOUŠOVÁ, Radek MAREČEK, Radovan PŘIKRYL, Jiří VANÍČEK, Andre FUJITA a Eva ČEŠKOVÁ. Maximum-uncertainty linear discrimination analysis of first-episode schizophrenia subjects. Psychiatry Research: Neuroimaging. 2011, roč. 191, č. 3, s. 174-181. ISSN 0925-4927. Dostupné z: https://dx.doi.org/10.1016/j.pscychresns.2010.09.016. info
• PAVLÍK, Tomáš, Eva JANOUŠOVÁ, Zdeněk POSPÍŠIL, Jan MUŽÍK, Daniela ŽÁČKOVÁ, Zdeněk RÁČIL, Hana KLAMOVÁ, Petr CETKOVSKÝ, Marek TRNĚNÝ, Jiří MAYER a Ladislav DUŠEK. Estimation of current cumulative incidence of leukaemia-free patients and current leukaemia-free survival in chronic myeloid leukaemia in the era of modern pharmacotherapy. BMC Medical Research Methodology. 2011, roč. 11, č. 140, s. 1-12. ISSN 1471-2288. Dostupné z: https://dx.doi.org/10.1186/1471-2288-11-140. info

2018/11/16

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