Multichannel active control of random noise in a small reverberant room. - Søren Laugesen; Stephen J. Elliott (IEEE Trans. Speech Audio Process., 1993)

Building and Testing a Statistical Shape Model of the Human Ear Canal. - Rasmus R. Paulsen; Rasmus Larsen 001; Claus Nielsen; Søren Laugesen; Bjarne K. Ersbøll (MICCAI (2), 2002)

Using a shape model in the design of hearing aids. - Rasmus R. Paulsen; Claus Nielsen; Søren Laugesen; Rasmus Larsen 001 (Image Processing, 2004)

A framework for geometry acquisition, 3-D printing, simulation, and measurement of head-related transfer functions with a focus on hearing-assistive devices. - Stine Harder; Rasmus R. Paulsen; Martin Larsen; Søren Laugesen; Michael Mihocic; Piotr Majdak (Comput. Aided Des., 2016)

Creating Ultra Dense Point Correspondence Over the Entire Human Head. - Rasmus R. Paulsen; Kasper Korsholm Marstal; Søren Laugesen; Stine Harder (SCIA (2), 2017)

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)

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)