"Saarakkala, Simo" - Selaus tekijän mukaan TUNICRIS-julkaisut

    • Assessment of Parkinson’s Disease Severity Using Gait Data : A Deep Learning-Based Multimodal Approach 

      Faiem, Nabid; Asuroglu, Tunc; Acici, Koray; Kallonen, Antti; van Gils, Mark; Särestöniemi, Mariella; Keikhosrokiani, Pantea; Singh, Daljeet; Harjula, Erkki; Tiulpin, Aleksei; Jansson, Miia; Isomursu, Minna; Saarakkala, Simo; Reponen, Jarmo; van Gils, Mark (Springer, 2024)
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      The ability to regularly assess Parkinson’s disease (PD) symptoms outside of complex laboratories supports remote monitoring and better treatment management. Multimodal sensors are beneficial for sensing different motor ...
    • Automatic knee osteoarthritis diagnosis from plain radiographs : A deep learning-based approach 

      Tiulpin, Aleksei; Thevenot, Jérôme; Rahtu, Esa; Lehenkari, Petri; Saarakkala, Simo (01.12.2018)
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      Knee osteoarthritis (OA) is the most common musculoskeletal disorder. OA diagnosis is currently conducted by assessing symptoms and evaluating plain radiographs, but this process suffers from subjectivity. In this study, ...
    • Enhancing Arrhythmia Diagnosis with Data-Driven Methods : A 12-Lead ECG-Based Explainable AI Model 

      Chukwu, Emmanuel C.; Moreno-Sánchez, Pedro A.; Särestöniemi, Mariella; Keikhosrokiani, Pantea; Singh, Daljeet; Harjula, Erkki; Tiulpin, Aleksei; Jansson, Miia; Isomursu, Minna; Saarakkala, Simo; Reponen, Jarmo; van Gils, Mark (Springer, 2024)
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      Accurate and early prediction of arrhythmias using Electrocardiograms (ECG) presents significant challenges due to the non-stationary nature of ECG signals and inter-patient variability, posing difficulties even for seasoned ...
    • Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data 

      Tiulpin, Aleksei; Klein, Stefan; Bierma-Zeinstra, Sita M.A.; Thevenot, Jérôme; Rahtu, Esa; Meurs, Joyce van; Oei, Edwin H.G.; Saarakkala, Simo (01.12.2019)
      article
      Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief. Prediction of OA progression is a very challenging and timely issue, and ...