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pro vyhledávání: '"Franz, M. J."'
Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide and affects around 1% of the (60+ years old) elderly population in industrial nations. More than 80% of PD patients suffer from motor symptoms, which could be well
Externí odkaz:
http://arxiv.org/abs/1911.06913
Autor:
Lang, Muriel, Pfister, Franz M. J., Fröhner, Jakob, Abedinpour, Kian, Pichler, Daniel, Fietzek, Urban, Um, Terry T., Kulić, Dana, Endo, Satoshi, Hirche, Sandra
The assessment of Parkinson's disease (PD) poses a significant challenge as it is influenced by various factors which lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable for effecti
Externí odkaz:
http://arxiv.org/abs/1808.10663
Autor:
Anubhav Jain, Kian Abedinpour, Ozgur Polat, Mine Melodi Çalışkan, Afsaneh Asaei, Franz M. J. Pfister, Urban M. Fietzek, Milos Cernak
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
Humans' voice offers the widest variety of motor phenomena of any human activity. However, its clinical evaluation in people with movement disorders such as Parkinson's disease (PD) lags behind current knowledge on advanced analytical automatic speec
Externí odkaz:
https://doaj.org/article/288f06151f9b478194e04c139ffaa88e
Autor:
Pfister, Franz M. J.1, Um, Terry Taewoong2, Pichler, Daniel C.3,4, Goschenhofer, Jann1, Abedinpour, Kian3,4, Lang, Muriel5, Endo, Satoshi5, Ceballos-Baumann, Andres O.3,4, Hirche, Sandra5, Bischl, Bernd1, Kulić, Dana2, Fietzek, Urban M.3,6 urban.fietzek@med.uni-muenchen.de
Publikováno v:
Scientific Reports. 4/3/2020, Vol. 10 Issue 1, p1-11. 11p.
Autor:
Rami Eisawy, David Schinz, Julia Moosbauer, Mehmet Yigitsoy, Lioba Grundl, Franz M. J. Pfister, Tom Finck, Benedikt Wiestler
Publikováno v:
Investigative Radiology. 56:571-578
OBJECTIVES Anomaly detection systems can potentially uncover the entire spectrum of pathologies through deviations from a learned norm, meaningfully supporting the radiologist's workflow. We aim to report on the utility of a weakly supervised machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b47b1965d73af2de1910f9b44fb7221b
https://doi.org/10.1097/rli.0000000000000775
https://doi.org/10.1097/rli.0000000000000775
Autor:
Jung, Hans H., Pfister, Franz M. J.
Publikováno v:
Technology Innovation Management Review. Feb2020, Vol. 10 Issue 2, p14-24. 11p.
Autor:
Jung, Hans H.1,2 hans.jung@munich-business-school.de, Pfister, Franz M. J.3 fmj.pfister@digital-helix.com
Publikováno v:
Proceedings of ISPIM Conferences. 2019, p1-14. 14p.
Autor:
Julia Moosbauer, Franz M. J. Pfister, Mehmet Yigitsoy, Lioba Grundl, David Schinz, Benedikt Wiestler, Claus Zimmer, Rami Eisawy, Tom Finck
Purpose Advanced machine-learning (ML) techniques can potentially detect the entire spectrum of pathology through deviations from a learned norm. We investigated the utility of a weakly supervised ML tool to detect characteristic findings related to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cc9d60d19eb117cedc6cc0237f231f8
https://mediatum.ub.tum.de/doc/1705261/document.pdf
https://mediatum.ub.tum.de/doc/1705261/document.pdf
Akademický článek
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Autor:
Franz M. J. Pfister, Kamer Ali Yuksel, Janek Thomas, Jann Goschenhofer, Bernd Bischl, Urban Fietzek
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030461324
ECML/PKDD (3)
ECML/PKDD (3)
One major challenge in the medication of Parkinson’s disease is that the severity of the disease, reflected in the patients’ motor state, cannot be measured using accessible biomarkers. Therefore, we develop and examine a variety of statistical m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d10c69ef89e10b527e70ea93c283bd38
https://doi.org/10.1007/978-3-030-46133-1_24
https://doi.org/10.1007/978-3-030-46133-1_24