aSAGA: Automatic Sleep Analysis with Gray Areas. - Matias Rusanen; Gabriel Jouan; Riku Huttunen; Sami Nikkonen; Sigríður Sigurðardóttir; Juha Töyräs; Brett Duce; Sami Myllymaa; Erna Sif Arnardóttir; Timo Leppänen; Anna Sigridur Islind; Samu Kainulainen; et al. (CoRR, 2023)

Generalizable Deep Learning-Based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings. - Matias Rusanen; Riku Huttunen; Henri Korkalainen; Sami Myllymaa; Juha Töyräs; Katja Myllymaa; Sigríður Sigurðardóttir; Kristin A. Olafsdottir; Timo Leppänen; Erna Sif Arnardóttir; Samu Kainulainen (IEEE J. Biomed. Health Informatics, 2023)

A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection. - Riku Huttunen; Timo Leppänen; Brett Duce; Erna Sif Arnardóttir; Sami Nikkonen; Sami Myllymaa; Juha Töyräs; Henri Korkalainen (IEEE Trans. Biomed. Eng., 2023)

A harmonized and interoperable format for storing and processing polysomnography data. - Riku Huttunen; Matias Rusanen; Sami Nikkonen; Henri Korkalainen; Samu Kainulainen (CoRR, 2024)

Optimal Electroencephalogram and Electrooculogram Signal Combination for Deep Learning-Based Sleep Staging. - Masoumeh Tashakori; Matias Rusanen; Tuomas Karhu; Riku Huttunen; Timo Leppänen; Sami Nikkonen (IEEE J. Biomed. Health Informatics, 2025)