Riku Klén

Comparison of simple augmentation transformations for a convolutional neural network classifying medical images (2024)

Signal, Image and Video Processing

Rainio Oona, Klen Riku

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective (2024)

Brain Sciences

Rudroff, Thorsten; Rainio, Oona; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Comparison of thresholds for a convolutional neural network classifying medical images (2024)

International journal of data science and analytics

Rainio, Oona; Tamminen, Jonne; Venäläinen, Mikko S.; Liedes, Joonas; Knuuti, Juhani; Kemppainen, Jukka; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers : A narrative review of a growing field (2024)

Neurological Sciences

Rudroff, Thorsten; Rainio, Oona; Klén, Riku

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Evaluation metrics and statistical tests for machine learning (2024)

Scientific Reports

Rainio Oona, Teuho Jarmo, Klén Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients (2024)

Network Modeling Analysis in Health Informatics and Bioinformatics

Rainio, Oona; Liedes, Joonas; Murtojärvi, Sarita; Malaspina, Simona; Kemppainen, Jukka; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Explainable deep-learning-based ischemia detection using hybrid O-15 H2O perfusion positron emission tomography and computed tomography imaging with clinical data (2024)

Journal of Nuclear Cardiology

Teuho, Jarmo; Schultz, Jussi; Klén, Riku; Juarez-Orozco, Luis Eduardo; Knuuti, Juhani; Saraste, Antti; Ono, Naoaki; Kanaya, Shigehiko

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Analysis of sleep apnea research with a special focus on the use of positron emission tomography as a study tool (2024)

Sleep Medicine Reviews

Li, Anting; Jaakkola, Maria; Saaresranta, Tarja; Klén, Riku; Li, Xiang-Guo

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data (2024)

Annals of Nuclear Medicine

Jafaritadi, Mojtaba; Teuho, Jarmo; Lehtonen, Eero; Klén, Riku; Saraste, Antti; Levin, Craig S.

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Automatic Segmentation of Head and Neck Cancer from PET-MRI Data Using Deep Learning (2023)

Journal of Medical and Biological Engineering

Liedes Joonas, Hellström Henri, Rainio Oona, Murtojärvi Sarita, Malaspina Simona, Hirvonen Jussi, Klén Riku, Kemppainen Jukka

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Comparison of simple augmentation transformations for a convolutional neural network classifying medical images (2024)

Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective (2024)

Comparison of thresholds for a convolutional neural network classifying medical images (2024)

AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers : A narrative review of a growing field (2024)

Evaluation metrics and statistical tests for machine learning (2024)

One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients (2024)

Explainable deep-learning-based ischemia detection using hybrid O-15 H2O perfusion positron emission tomography and computed tomography imaging with clinical data (2024)

Analysis of sleep apnea research with a special focus on the use of positron emission tomography as a study tool (2024)

Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data (2024)

Automatic Segmentation of Head and Neck Cancer from PET-MRI Data Using Deep Learning (2023)