On High-Density Resource-Restricted Pulse-Based IoT Networks. - Ferdinand Peper; Kenji Leibnitz; Konstantinos Theofilis; Mikio Hasegawa; Naoki Wakamiya; Chiemi Tanaka; Jun-nosuke Teramae; Shinya Sekizawa; Aohan Li (GLOBECOM, 2020)

Deep metric learning for otitis media classification. - Josefine Vilsbøll Sundgaard; James Michael Harte; Peter Bray; Søren Laugesen; Yosuke Kamide; Chiemi Tanaka; Rasmus R. Paulsen; Anders Nymark Christensen (Medical Image Anal., 2021)

High-Density Resource-Restricted Pulse-Based IoT Networks. - Ferdinand Peper; Kenji Leibnitz; Chiemi Tanaka; Kentaro Honda; Mikio Hasegawa; Konstantinos Theofilis; Aohan Li; Naoki Wakamiya (IEEE Trans. Green Commun. Netw., 2021)

A Deep Learning Approach for Detecting Otitis Media From Wideband Tympanometry Measurements. - Josefine Vilsbøll Sundgaard; Peter Bray; Søren Laugesen; James Michael Harte; Yosuke Kamide; Chiemi Tanaka; Anders Nymark Christensen; Rasmus R. Paulsen (IEEE J. Biomed. Health Informatics, 2022)

Multi-modal data generation with a deep metric variational autoencoder. - Josefine Vilsbøll Sundgaard; Morten Rieger Hannemose; Søren Laugesen; Peter Bray; James Michael Harte; Yosuke Kamide; Chiemi Tanaka; Rasmus R. Paulsen; Anders Nymark Christensen (NLDL, 2023)