Deep Learning on a Raspberry Pi for Real Time Face Recognition. - Oliver Dürr; Yves Pauchard; Diego Browarnik; Rebekka Axthelm; Martin Loeser (Eurographics (Posters), 2015)

Semi-Wearable LymphMeter: Preliminary Results From In-Vivo Validation. - Daniel Fehr; Lorenz M. Brunner; Christoph Kirsch; Martin Loeser; Anna Kedracka; Michael Detmar; Mathias Bonmarin (BSN, 2024)

Decoding Behavior: Utilizing Virtual Reality Digital Marker and Machine Learning for Early Detection of Mild Cognitive Impairment. - Yuwon Kim; Jinseok Park; Hojin Choi; Martin Loeser; Hokyoung Ryu; Kyoungwon Seo (CHI Extended Abstracts, 2024)

Team SWOT - Champions of RoboCup@Work 2024. - Julian Mueller; Felix Endres; Lucas Reinhart; Martin Loeser; Stanislav Buinitskii; Volker Willert; Tobias Kaupp (RoboCup, 2024)

Early Detection of Patients With Mild Cognitive Impairment Through EEG-SSVEP-Based Machine Learning Model. - Dohyun Kim; Jinseok Park; Hojin Choi; Hokyoung Ryu; Martin Loeser; Kyoungwon Seo (IEEE Access, 2024)

Exploring the Relationship between Behavioral and Neurological Impairments Due to Mild Cognitive Impairment: Correlation Study between Virtual Kiosk Test and EEG-SSVEP. - Dohyun Kim; Yuwon Kim; Jinseok Park; Hojin Choi; Hokyoung Ryu; Martin Loeser; Kyoungwon Seo (Sensors, 2024)

How Large Language Models are Transforming Teachers' Assessment of Student Competency: A Case Study on LLM-Based Report Writing. - Dongyub Lee; Daejung Kim; Martin Loeser; Kyoungwon Seo (ICEIC, 2025)