33 citations · 35 across the 5 of their papers we have counts for
5 papers
Comparative Analysis of State-of-the-Art Foundation Models for Sleep Analysis Under Channel Reduction
Hassan Mehdi, Riku Klen, Ayse Kosal Bulbul +5
Automatic sleep staging from polysomnography (PSG) is a well-studied task, but PSG itself is expensive, clinic-based, and burdensome to manually score, which limits its use for lon…
Emotion Recognition with Minimal Wearable Sensing: Multi-domain Feature, Hybrid Feature Selection, and Personalized vs. Generalized Ensemble Model Analysis
Muhammad Irfan, Anum Nawaz, Ayse Kosal Bulbul +4
Negative emotions are linked to the onset of neurodegenerative diseases and dementia, yet they are often difficult to detect through observation. Physiological signals from wearabl…
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning
Muhammad Irfan, Anum Nawaz, Riku Klen +3
Early detection and accurate diagnosis are essential to improving patient outcomes. The use of convolutional neural networks (CNNs) for tumor detection has shown promise, but exist…
Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis
Oona Rainio, Maria K. Jaakkola, Riku Klén
Background. Recently, dynamic total-body positron emission tomography (PET) imaging has become possible due to new scanner devices. While clustering algorithms have been proposed f…
AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field
Thorsten Rudroff, Oona Rainio, Riku Klén
Objectives: The objectives of this narrative review are to summarize the current state of AI applications in neuroimaging for early Alzheimer's disease (AD) prediction and to highl…