Zobrazeno 1 - 10
of 416
pro vyhledávání: '"VARGHESE, Julian"'
Autor:
Timmer, Antje, Weberschock, Tobias, Rothenbacher, Dietrich, Varghese, Julian, Berger, Ursula, Schlattmann, Peter, Dugas, Martin, Kopp-Schneider, Annette, Winter, Alfred, Binder, Harald
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 18, Iss 2, p Doc06 (2022)
Medical data sciences receive attention as digitalization and artificial intelligence (AI) pose new challenges and opportunities in health care. Specific methods and skills derived from the data sciences have been driving essential developments in al
Externí odkaz:
https://doaj.org/article/7ed81840668547d0853078ee171cb1db
Autor:
Plagwitz, Lucas, Bickmann, Lucas, Fujarski, Michael, Brenner, Alexander, Gobalakrishnan, Warnes, Eckardt, Lars, Büscher, Antonius, Varghese, Julian
Electrocardiogram (ECG) recordings have long been vital in diagnosing different cardiac conditions. Recently, research in the field of automatic ECG processing using machine learning methods has gained importance, mainly by utilizing deep learning me
Externí odkaz:
http://arxiv.org/abs/2407.15555
Autor:
Varghese, Julian, Röhrig, Rainer, Dugas, Martin, GMDS-Arbeitsgruppe „MI-Lehre in der Medizin“
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 16, Iss 1, p Doc02 (2020)
The digital transformation has influenced medical pathways in clinical routine and research as never before. This transformation requires multiple competencies in digital health from health professionals. To address learning objectives for teaching,
Externí odkaz:
https://doaj.org/article/97eed8a8f53e40e3874d41fb0b006a45
Autor:
Varghese, Julian
This research work has contributed in various ways to help develop a better understanding of textile composites and materials with complex microstructures in general. An instrumental part of this work was the development of an object-oriented framewo
Externí odkaz:
http://hdl.handle.net/1969.1/ETD-TAMU-2009-08-7054
In recent years, sensors from smart consumer devices have shown great diagnostic potential in movement disorders. In this context, data modalities such as electronic questionnaires, hand movement and voice captures have successfully captured biomarke
Externí odkaz:
http://arxiv.org/abs/2205.05961
Sensors from smart consumer devices have demonstrated high potential to serve as digital biomarkers in the identification of movement disorders in recent years. With the usage of broadly available smartwatches we have recorded participants performing
Externí odkaz:
http://arxiv.org/abs/2205.05361
Autor:
Varghese, Julian
A new methodology is introduced where the natural hierarchical character of model descriptions and simulation results are exploited to expedite analysis of problems. The philosophy and the different concepts involved are illustrated by implementing t
Externí odkaz:
http://hdl.handle.net/1969.1/232
Autor:
Pohl, Sarah B., Engelbertz, Christiane, Reinecke, Holger, Malyar, Nasser M., Meyborg, Matthias, Brix, Tobias J., Varghese, Julian, Gebauer, Katrin
Publikováno v:
In Nutrition, Metabolism and Cardiovascular Diseases July 2024 34(7):1670-1680
Autor:
Plagwitz, Lucas, Choi, Sangcheon, Yu, Xin, Segelcke, Daniel, Lambers, Henriette, Pogatzki-Zahn, Esther, Varghese, Julian, Faber, Cornelius, Pradier, Bruno
Publikováno v:
In Biomedical Signal Processing and Control July 2024 93
Autor:
Siebert-Kuss, Lara M., Dietrich, Verena, Di Persio, Sara, Bhaskaran, Jahnavi, Stehling, Martin, Cremers, Jann-Frederik, Sandmann, Sarah, Varghese, Julian, Kliesch, Sabine, Schlatt, Stefan, Vaquerizas, Juan M., Neuhaus, Nina, Laurentino, Sandra
Publikováno v:
In The American Journal of Human Genetics 6 June 2024 111(6):1125-1139