doc. Ing. Daniel Schwarz, Ph.D.

Associate professor, Department of Simulation Medicine


Correspondence Address:
Kamenice 126/3, 625 00 Brno

E‑mail:
social and academic networks:
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Curriculum vitae

Name, first names, scientific degrees
  • Daniel Schwarz, PhD
  • born 20th June 1977
Department/Faculty/University
  • Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University
Function, current position
  • Associate Professor
Education and academic qualifications
  • 2015: Assoc. Prof. in Biomedical engineering - Brno University of Technology
  • 2005: Ph.D. degree in Biomedical electronics and biocybernetics - Brno University of Technology
  • 2000: Ing. (eq. MSc.) degree in Electronics and communication technologies - Brno University of Technology
Professional experience
  • 2005-now: Masaryk University
  • 2002-2004: SOVA NET, s.r.o.
Teaching activities
  • Teaching at Masaryk University, Faculty of Science - Mathematical Biology, Modeling and Calculations: Linear and Adaptive Data Processing, Project of Mathematical Biology.
  • Teaching at Brno University of Technology - Biomedical and Ecological Engineering, Biomedical Engineering and Bioinformatics.
  • Leadership of doctoral students in the field of Neuroscience at the Faculty of Medicine, Masaryk University
  • Head of Neurominer.cz working group focused on the scientific work of students with multidimensional neuroimaging data
Research activities
  • Medical image processing and analysis, computational neuroanatomy, neuroimaging, machine learning.
  • Medical informatics, technology-enhanced learning in medical education, virtual patients.
Professional stays abroad
  • 4/2012: Structural neuroimaging laboratory, Dep. of Psychiatry, University Medical Center, Utrecht, Netherlands: 7 T MRI data preprocessing for diffusion tractography
Other academic activities, research projects, grants
  • since 2014: member of the committee for simulations at the Faculty of Medicine, Masaryk University
  • since 2007: member of the Editorial board at the Faculty of Medicine, Masaryk University
Non-university activities
  • 2017-now: member of the board of Biomedical Engineering and Bioinformatics study programme at Brno University of Technology
  • 2013-now: member of the Czech Society for Clinical Neurophysiology ČLS JEP, HuBraM – section for functional mapping of brain
  • 2013-now: editor-in-chief of the MEFANET Journal
  • 2012-now: external cooperation with the Behavioral and Social Neuroscience research group at the Central European Institute of Technology CEITEC
Most significant professional accomplishments
  • 2014-now: president of the coordinating committee of the educational network of Czech and Slovak medical faculties – MEFANET 2007-now: chairman of the MEFANET annual conferences
Major publications
  • DLUHOŠ, Petr, Daniel SCHWARZ, Wiepke CAHN, Neeltje van HAREN, René KAHN, Filip ŠPANIEL, Jiří HORÁČEK, Tomáš KAŠPÁREK a Hugo SCHNACK. Multi-center machine learning in imaging psychiatry: A meta-model approach. NeuroImage. San Diego: Academic Press Inc Elsevier Science, roč. 155, 15 July 2017, s. 10-24. ISSN 1053-8119. doi:10.1016/j.neuroimage.2017.03.027. 2017. 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., roč. 10, AUG, s. 1-15. ISSN 1662-453X. doi:10.3389/fnins.2016.00392. 2016. info
  • POPOVICI, Vlad, Eva BUDINSKÁ, Lenka ČÁPKOVÁ, Daniel SCHWARZ, Ladislav DUŠEK, Josef FEIT a Rolf JAGGI. Joint analysis of histopathology image features and gene expression in breast cancer. BMC Bioinformatics. London: BioMed Central, roč. 17, č. 209, s. 1-9. ISSN 1471-2105. doi:10.1186/s12859-016-1072-z. 2016. info
  • KOMENDA, Martin, Daniel SCHWARZ, Jan ŠVANCARA, Christos VAITSIS, Nabil ZARY a Ladislav DUŠEK. Practical use of medical terminology in curriculum mapping. Computers in Biology and Medicine. Oxford: Pergamon-Elsevier Science Press, roč. 63, August 01, s. 74-82. ISSN 0010-4825. doi:10.1016/j.compbiomed.2015.05.006. 2015. 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, roč. 232, č. 3, s. 237-249. ISSN 0925-4927. doi:10.1016/j.pscychresns.2015.03.004. 2015. info
  • KOMENDA, Martin, Martin VÍTA, Christos VAITSIS, Daniel SCHWARZ, Andrea POKORNÁ, Nabil ZARY a Ladislav DUŠEK. Curriculum Mapping with Academic Analytics in Medical and Healthcare Education. Plos One. San Francisco: Public Library Science, roč. 10, č. 12, s. 1-18. ISSN 1932-6203. doi:10.1371/journal.pone.0143748. 2015. info
  • SCHWARZ, Daniel a Tomáš KAŠPÁREK. Brain morphometry of MR images for automated classification of first-episode schizophrenia. Information Fusion. ELSEVIER SCIENCE BV, roč. 19, č. 1, s. 97-102. ISSN 1566-2535. doi:10.1016/j.inffus.2013.02.002. 2014. info
  • DLUHOŠ, Petr, Daniel SCHWARZ a Tomáš KAŠPÁREK. Wavelet Features for Recognition of First Episode of Schizophrenia from MRI Brain Images. Radioengineering. SPOLECNOST PRO RADIOELEKTRONICKE INZENYRSTVI, roč. 23, č. 1, s. 274-281. ISSN 1210-2512. 2014. URL info
  • SCHWARZ, Daniel, Ladislav DUŠEK, Martin BAREŠ, Julie BIENERTOVÁ VAŠKŮ, Jitka FEBEROVÁ, Jiří KOFRÁNEK, Martin KOMENDA, Barbora LUDÍKOVÁ, Jiří MAYER, Jaroslav MAJERNÍK, Radim POLČÁK, Jarmila POTOMKOVÁ, Michal PROCHÁZKA, Adrian RAUDASCHL, Petr ŠTOURAČ, Jaroslav ŠTĚRBA, Stanislav ŠTÍPEK, Čestmír ŠTUKA, Ilja TACHECÍ a Martin VEJRAŽKA. Computer applications systems and networks for medical education : MEFANET: Czech and Slovak Medical Faculties Network. 1st ed. Brno: Masaryk University, Institute of Biostatistics and Analyses : Facta Medica. 230 s. ISBN 978-80-904731-9-5. doi:10.13140/2.1.1383.0723. 2014. URL info
  • SCHWARZ, Daniel, Petr ŠTOURAČ, Martin KOMENDA, Hana HARAZIM, Martina KOSINOVÁ, Jakub GREGOR, Richard HŮLEK, Olga SMÉKALOVÁ, Ivo KŘIKAVA, Roman ŠTOUDEK a Ladislav DUŠEK. Interactive algorithms for teaching and learning acute medicine in the network of medical faculties MEFANET. Journal of medical Internet research. Toronto: JMIR Publications Inc., roč. 15, č. 7, s. 298-311. ISSN 1438-8871. doi:10.2196/jmir.2590. 2013. info
  • SCHWARZ, Daniel, Milan ADAMUS, Vladimír ČERNÝ, Ladislav DUŠEK, Jan MALÁSKA, Martin MATĚJOVIČ, Pavel ŠEVČÍK, Vladimír ŠRÁMEK a Martin SLEZÁK. EPOSS & SEPSIS-Q: návrh a popis řešení projektů pro sledování léčby, morbidity a mortality pacientů s těžkou sepsí v České republice. Anesteziologie & intenzivní medicína. Praha: Česká lékařská společnost J.E. Purkyně, roč. 24, č. 4, s. 240-249. ISSN 1214-2158. 2013. info
  • SCHWARZ, Daniel, Tomáš KAŠPÁREK a Eva JANOUŠOVÁ. Rozpoznávání pacientů s první epizodou schizofrenie s využitím obrazů mozku z MRI. Clinician and Technology (Lékař a technika). Praha: Czech Medical Association J.E.Purkyne, roč. 41, č. 1, s. 27-34. ISSN 0301-5491. 2011. info
  • SCHWARZ, Daniel, Tomáš KAŠPÁREK, Ivo PROVAZNÍK a Jiří JARKOVSKÝ. A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research. IEEE Transactions on Medical Imaging. New York: IEEE, roč. 26, č. 4, s. 452-461. ISSN 0278-0062. 2007. URL info
  • KAŠPÁREK, Tomáš, Radovan PŘIKRYL, Daniel SCHWARZ, Hana KUČEROVÁ, Michal MIKL, Eva ČEŠKOVÁ a Petr KRUPA. Reduction of prefrontal gray matter volume in first-episode schizophrenia independent of risperidon treatment. The International Journal of Neuropsychopharmacology. Cambridge, U.K.: Cambridge University Press, suppl. 1, č. 9, s. 224. ISSN 1461-1457. 2006. info
  • SCHWARZ, Daniel a Ivo PROVAZNÍK. Low-dimensional Multimodal Deformable Registration of MRI Brain Images in Stereotaxic Space. European Journal for Biomedical Informatics. roč. 2006, č. 1, s. 90-97. ISSN 1801-5603. 2006. URL info
  • SCHWARZ, Daniel a Ivo PROVAZNÍK. Statistically Based Segmentation of Medical Images and Their Visualisation. In VI International Conference PROCEEDINGS Symbiosis 2001. Gliwice: Silesian University of Technology. s. 10-14. ISBN 80-214-0893-6. 2001. info

2017/08/22

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