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Jens Maus (1975-)

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Name	Jens Maus
Zeit	1975- (Lebensdaten)
Ort	Stuttgart (Geburtsort) Dresden (Wirkungsort) Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr. rer. medic (Technische Universität Dresden, Medizinische Fakultät) (2009)
Beruf	Informatiker (charakteristischer Beruf) Gesundheitswissenschaftler
Variante	J. Maus Jens Langner (früherer Name)
Beziehung	Helmholtz-Zentrum Dresden-Rossendorf. Institut für Radiopharmazeutische Krebsforschung (01/2006-)
Quelle	ResearchGate: https://www.researchgate.net/profile/Jens-Maus (Stand: 13.11.2024) https://www.hzdr.de/db/!ContMan.Visi.Card?pUser=1859&pNid=387 (Stand: 13.11.2024)
Datensatztyp	Person
GND-Nummer	139618589
Datensatz-ID	139618589
Beteiligt an alle anzeigen Deep learning based bilateral filtering for edge-preserving denoising of respiratory-gated PET A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in $$[^18}$$ [ 18 F]FDG PET/CT A convolutional neural network for fully automated blood SUV determination to facilitate SUR computation in oncological FDG-PET Interobserver variability of image-derived arterial blood SUV in whole-body FDG PET Monitoring scanner calibration using the image-derived arterial blood SUV in whole-body FDG-PET PET/MRI in head and neck cancer: initial experience Development of a Parallel Computing Optimized Head Movement Correction Method in Positron Emission Tomography Event-driven motion compensation in positron emission tomography: development of a clinically applicable method Event-driven motion compensation in positron emission tomography : development of a clinically applicable method

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Katalog der Deutschen Nationalbibliothek

Jens Maus (1975-)

Deep learning based bilateral filtering for edge-preserving denoising of respiratory-gated PET

A convolutional neural network with self-attention for fully automated metabolic tumor volume delineation of head and neck cancer in $$[^18}$$ [ 18 F]FDG PET/CT

A convolutional neural network for fully automated blood SUV determination to facilitate SUR computation in oncological FDG-PET

Interobserver variability of image-derived arterial blood SUV in whole-body FDG PET

Monitoring scanner calibration using the image-derived arterial blood SUV in whole-body FDG-PET

PET/MRI in head and neck cancer: initial experience

Development of a Parallel Computing Optimized Head Movement Correction Method in Positron Emission Tomography

Event-driven motion compensation in positron emission tomography: development of a clinically applicable method

Event-driven motion compensation in positron emission tomography : development of a clinically applicable method