Akseli Leino
Visiting Researcher
Postdoctoral researcher
Department of Technical Physics, Faculty of Science, Forestry and Technology
Publications
13/13 items-
Deep learning‐based prediction of the dose–volume histograms for volumetric modulated arc therapy of left‐sided breast cancer
Leino, Akseli; Heikkilä, Janne; Virén, Tuomas; Honkanen, Juuso TJ.; Seppälä, Jan; Korkalainen, Henri, 2024, Medical physics, 51, 11, 7986-7997. A1 Journal article (refereed), original research -
Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG
Leino, Akseli; Korkalainen, Henri; Kalevo, Laura; Nikkonen, Sami; Kainulainen, Samu; Ryan, Alexander; Duce, Brett; Sipila, Kirsi; Ahlberg, Jari; Sahlman, Johanna; Miettinen, Tomi; Westeren-Punnonen, Susanna; Mervaala, Esa; Toyras, Juha; Myllymaa, Sami; Leppanen, Timo; Myllymaa, Katja, 2022, IEEE access, 10, 26554-26566. A1 Journal article (refereed), original research -
Novel computational methods for improved sleep apnea diagnostics: special focus on stroke patients
Leino, Akseli, 2022, Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences. G5 Doctoral dissertation (article) -
Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing
Kalevo, Laura; Miettinen, Tomi; Leino, Akseli; Westeren-Punnonen, Susanna; Sahlman, Johanna; Mervaala, Esa; Toyras, Juha; Leppanen, Timo; Myllymaa, Sami; Myllymaa, Katja, 2022, IEEE access, 10, 60633-60642. A1 Journal article (refereed), original research -
Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network
Nikkonen, Sami; Korkalainen, Henri; Leino, Akseli; Myllymaa, Sami; Duce, Brett; Leppänen, Timo; Töyräs, Juha, 2021, IEEE journal of biomedical and health informatics, 25, 8, 2917-2927. A1 Journal article (refereed), original research -
Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep apnea
Korkalainen, Henri; Leppänen, Timo; Duce, Brett; Kainulainen, Samu; Aakko, Juhani; Leino, Akseli; Kalevo, Laura; Afara, Isaac O; Myllymaa, Sami; Töyräs, Juha, 2021, IEEE journal of biomedical and health informatics, 25, 7, 2567-2574. A1 Journal article (refereed), original research -
Neural network analysis of nocturnal SpO2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease
Leino, Akseli; Nikkonen, Sami; Kainulainen, Samu; Korkalainen, Henri; Töyräs, Juha; Myllymaa, Sami; Leppänen, Timo; Ylä-Herttuala, Salla; Westeren-Punnonen, Susanna; Muraja-Murro, Anu; Jäkälä, Pekka; Mervaala, Esa; Myllymaa, Katja, 2021, Sleep medicine, 79, 71-78. A1 Journal article (refereed), original research -
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
Korkalainen, H; Aakko, J; Duce, B; Kainulainen, S; Leino, A; Nikkonen, S; Afara, I O; Myllymaa, S; Töyräs, J; Leppänen, T, 2020, Sleep, 43, 11, zsaa098. A1 Journal article (refereed), original research -
Effect of sweating on electrode-skin contact impedances and artifacts in EEG recordings with various screen-printed Ag/Agcl electrodes
Kalevo, Laura; Miettinen, Tomi; Leino, Akseli; Kainulainen, Samu; Korkalainen, Henri; Myllymaa, Katja; Töyräs, Juha; Leppänen, Timo; Laitinen, Tiina; Myllymaa, Sami, 2020, IEEE access, 8, 50934-50943. A1 Journal article (refereed), original research -
Estimating daytime sleepiness with previous night EEG, EOG and EMG spectrograms in patients with suspected sleep apnea using a convolutional neural network
Nikkonen, Sami; Korkalainen, Henri; Kainulainen, Samu; Myllymaa, Sami; Leino, Akseli; Kalevo, Laura; Oksenberg, Arie; Leppänen, Timo; Töyräs, Juha, 2020, Sleep, 43, 12, zsaa106. A1 Journal article (refereed), original research