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Raffael Golomingi

Raffael Golomingi

Raffael Golomingi

ZHAW School of Engineering
Forschungsschwerpunkt Intelligent Information Systems
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur


raffael.golomingi@zhaw.ch

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Publications before appointment at the ZHAW

Raffael Golomingi; Cordula Haas; Akos Dobay; Sören Kottner; Lars Ebert, 2021. Sperm hunting on optical microscope slides for forensic analysis with deep convolutional networks – a feasibility study. doi.org/10.1016/j.fsigen.2021.102602

Raffael Affolter; Weiler Andreas,2020. FacetX: Dynamic Facet Generation for Advanced Information Filtering of Search Results. ceur-ws.org/Vol-2578/SEAData2.pdf

Akos Dobay; Jonathan Ford; Summer Decker; Garyfalia Ampanozi; Sabine Franckenberg; Raffael Affolter; Till Sieberth; Lars C. Ebert, 2020. Potential use of deep learning techniques for postmortem imaging. doi.org/10.1007/s12024-020-00307-3

Jonas Bulliard; Sebastian Eggert; Garyfalia Ampanozi; Raffael Affolter; Dominic Gascho; Till Sieberth; Michael J.Thali; Lars C.Ebert, 2020. Preliminary testing of an augmented reality headset as a DICOM viewer during autopsy. doi.org/10.1016/j.fri.2020.200417

Till Siebert;Akos Dobay; Raffael Affolter; Lars Ebert, 2019. A toolbox for the rapid prototyping of crime scene reconstructions in virtual reality doi.org/10.1016/j.forsciint.2019.110006

Samuel Gunz; Svenja Erne; Eric J. Rawdon; Garyfalia Ampanozi; Till Sieberth; Raffael Affolter; Lars C. Ebert; Akos Dobay, 2019. Automated Rib Fracture Detection of Postmortem Computed Tomography Images Using Machine Learning Techniques arxiv.org/abs/1908.05467v1

Till Sieberth; Akos Dobay; Raffael Affolter; Lars C. Ebert, 2019. Applying virtual reality in forensics – a virtual scene walkthrough doi.org/10.1007/s12024-018-0058-8

Raffael Affolter; Sebastian Eggert; Till Sieberth; Michael Thali; Lars ChristianEbert, 2018.Applying augmented reality during a forensic autopsy—Microsoft HoloLens as a DICOM viewer. doi.org/10.1016/j.jofri.2018.11.003