Non-invasive Imaging Methods for Digital Humanities, Medicine, and Quality Assessment

Stromer D (2019)

Publication Language: English

Publication Type: Thesis

Publication year: 2019

URI: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/12459

Authors with CRIS profile

Daniel Stromer Lehrstuhl für Informatik 5 (Mustererkennung)

How to cite

APA:

Stromer, D. (2019). Non-invasive Imaging Methods for Digital Humanities, Medicine, and Quality Assessment (Dissertation).

MLA:

Stromer, Daniel. Non-invasive Imaging Methods for Digital Humanities, Medicine, and Quality Assessment. Dissertation, 2019.

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