| Vital sign monitoring using FMCW radar in various sleeping scenarios E Turppa, JM Kortelainen, O Antropov, T Kiuru Sensors 20 (22), 6505, 2020 | 81 | 2020 |
| Sensing gastric cancer via point‐of‐care sensor breath analyzer M Leja, JM Kortelainen, I Polaka, E Turppa, J Mitrovics, P M, M P, S G, ... Cancer, 2021 | 19 | 2021 |
| Overview on SNIFFPHONE: a portable device for disease diagnosis C Jaeschke, M Padilla, E Turppa, I Polaka, O Gonzalez, K Richardson, ... 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), 1-2, 2019 | 11 | 2019 |
| Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study E Antikainen, H Njoum, J Kudelka, D Branco, RZU Rehman, V Macrae, ... Frontiers in Physiology, 2022 | 10 | 2022 |
| Transformers for cardiac patient mortality risk prediction from heterogeneous electronic health records E Antikainen, J Linnosmaa, A Umer, N Oksala, M Eskola, M van Gils, ... Scientific Reports 13 (3517), 2023 | 9 | 2023 |
| Repeatability study on a classifier for gastric cancer detection from breath sensor data E Turppa, I Polaka, E Vasiljevs, JM Kortelainen, G Shani, M Leja, H Haick 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering …, 2019 | 4 | 2019 |
| Development of medical applications based on AI models and register data–regulatory considerations J Lähteenmäki, J Pajula, E Antikainen Scandinavian Conference on Health Informatics, 141-146, 2022 | 3 | 2022 |
| Monialaisen palvelukäytön ennakointi tekoälyn avulla: Kehittämisen perusteita ja suuntaviivoja J Koivisto, T Keski-Kuha, J Lähteenmäki, H Sourkatti, J Pajula, ... Terveyden ja hyvinvoinnin laitos THL, 2023 | 2 | 2023 |
| SPECT Image Features for Early Detection of Parkinson’s Disease using Machine Learning Methods E Antikainen, P Cella, A Tolonen, M van Gils 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
| A computational study on the membrane sculpting mechanism of missing-in-metastasis EMJ Turppa | 1 | 2017 |
| Time Series Analytics for Decision Support in Chronic Diseases: Clinical case studies E Antikainen Tampere University, 2024 | | 2024 |
| Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study Y Kong, J Hayano, E Antikainen, M Chatterjee, E Antikainen, H Njoum, ... | | 2022 |
| Predicting Daytime Sleepiness from Electrocardiography Based Respiratory Rate Using Deep Learning E Antikainen, RZU Rehman, T Ahmaniemi, M Chatterjee Computing in Cardiology 2022, 2022 | | 2022 |
| Unsupervised LSTM-AE and Harmonic Models for Improving Timeliness of Forest Logging Notifications With Dense Satellite Image Time Series M Molinier, E Antikainen ESA Phi-Week 2019, 2019 | | 2019 |
| Portable nanosensor-based volatile organic compound breath analyser SNIFFPHONE for gastric cancer detection M Leja, I Polaka, JH Kortelainen, E Turppa, L Lauka, E Vasilevskis, ... HELICOBACTER 23, 2018 | | 2018 |
