Riku Klén

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 )

Neuroplasticity Meets Artificial Intelligence: A Hippocampus-Inspired Approach to the Stability–Plasticity Dilemma (2024)

Brain Sciences

Rudroff, Thorsten; Rainio, Oona; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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)

The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue (2024)

Brain Sciences

Rudroff, Thorsten; Klén, Riku; Rainio, Oona; Tuulari, Jetro

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Evaluation metrics and statistical tests for machine learning (2024)

Scientific Reports

Rainio Oona, Teuho Jarmo, Klén Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Ota yhteyttä

Linkit

Julkaisut

Järjestä:

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)

Neuroplasticity Meets Artificial Intelligence: A Hippocampus-Inspired Approach to the Stability–Plasticity Dilemma (2024)

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)

The Untapped Potential of Dimension Reduction in Neuroimaging: Artificial Intelligence-Driven Multimodal Analysis of Long COVID Fatigue (2024)

Evaluation metrics and statistical tests for machine learning (2024)