Riku Klén

Automated long axial field of view PET image processing and kinetic modelling with the TurBO toolbox (2026)

European Journal of Nuclear Medicine and Molecular Imaging

Tuisku, Jouni; Palonen, Santeri; Kärpijoki, Henri; Latva-Rasku, Aino; Tuomola, Nelli; Harju, Harri; Nesterov, Sergey V.; Oikonen, Vesa; Iida, Hidehiro; Teuho, Jarmo; Han, Chunlei; Karjalainen, Tomi; Kirjavainen, Anna K.; Rajader, Johan; Klén, Riku; Nuutila, Pirjo; Knuuti, Juhani; Nummenmaa, Lauri

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Intranasal insulin affects brain, but not peripheral tissue, glucose uptake in lean, healthy men: a positron emission tomography study (2026)

American Journal of Physiology : Endocrinology and Metabolism

Latva-Rasku, Aino; Laurila, Sanna; Karjalainen, Tomi; Klén, Riku; Löyttyniemi, Eliisa; Eskola, Olli; Nummenmaa, Lauri; Heni, Martin; Nuutila, Pirjo

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Organ-Specific Perfusion Response to Adenosine as Measured Using Total-Body PET (2026)

Journal of Nuclear Medicine

Kärpijoki, Henri; Tuisku, Jouni; Palonen, Santeri; Han, Chunlei; Iida, Hidehiro; Klén, Riku; Oikonen, Vesa; Teuho, Jarmo; Saraste, Antti; Nummenmaa, Lauri; Nesterov, Sergey V.; Maaniitty, Teemu; Knuuti, Juhani

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Editorial: AI with insight: explainable approaches to mental health screening and diagnostic tools in healthcare (2026)

Frontiers in Medicine

Smrke, Urška; Klén, Riku; Mlakar, Izidor; Mulej Bratec, Satja; Levkovich, Inbar

(B1 Vertaisarvioimaton data-artikkeli tieteellisessä lehdessä )

Deep Learning for Medical Ultrasound Image Segmentation: A Systematic Review of the Current Research (2026)

Journal of Imaging Informatics in Medicine

Rainio, Oona; Roshan, Ehsan; Hosseini, Seyed Mohammedreza; Rehman, Rida; Okenwa, Joanna; Klén, Riku

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Acute deep neck infection MRI: deep learning segmentation and clinical relevance of retropharyngeal edema volume (2026)

European radiology experimental

Viertonen, Ville Sakari; Sirén, Aapo; Nyman, Mikko; Huhtanen, Heidi; Klén, Riku; Hirvonen, Jussi; Rainio, Oona

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Expanding interpretability through complexity reduction in machine learning‐based modelling of cardiovascular disease: A myocardial perfusion imaging PET/CT prognostic study (2025)

European Journal of Clinical Investigation

Lehtonen, Eero; Teuho, Jarmo; Vatandoust, Monire; Knuuti, Juhani; Knol, Remco J. J.; van der Zant, Friso M.; Juarez-Orozco, Luis Eduardo; Klen, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Convolutional neural networks for tumor segmentation by cancer type and imaging modality: a systematic review (2025)

Network Modeling Analysis in Health Informatics and Bioinformatics

Rainio, Oona; Klén, Riku

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Smart IoT-based Solutions for Neonatal Sleep Stratification: Single-Dual Channel EEG, AdaptiSelect, Multview Fusion, & Rotational Ensemble Stacking (2025)

IEEE Internet of Things Journal

Irfan, Muhammad; Wang, Laishuan; Xu, Yan; Subasi, Abdulhamit; Chen, Chen; Klén, Riku; Westerlund, Tomi; Chen, Wei

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Modified Dice Coefficients for Evaluation of Tumor Segmentation from PET Images: A Proof-of-Concept Study (2025)

Journal of Imaging Informatics in Medicine

Rainio, Oona; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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Automated long axial field of view PET image processing and kinetic modelling with the TurBO toolbox (2026)

Intranasal insulin affects brain, but not peripheral tissue, glucose uptake in lean, healthy men: a positron emission tomography study (2026)

Organ-Specific Perfusion Response to Adenosine as Measured Using Total-Body PET (2026)

Editorial: AI with insight: explainable approaches to mental health screening and diagnostic tools in healthcare (2026)

Deep Learning for Medical Ultrasound Image Segmentation: A Systematic Review of the Current Research (2026)

Acute deep neck infection MRI: deep learning segmentation and clinical relevance of retropharyngeal edema volume (2026)

Expanding interpretability through complexity reduction in machine learning‐based modelling of cardiovascular disease: A myocardial perfusion imaging PET/CT prognostic study (2025)

Convolutional neural networks for tumor segmentation by cancer type and imaging modality: a systematic review (2025)

Smart IoT-based Solutions for Neonatal Sleep Stratification: Single-Dual Channel EEG, AdaptiSelect, Multview Fusion, & Rotational Ensemble Stacking (2025)

Modified Dice Coefficients for Evaluation of Tumor Segmentation from PET Images: A Proof-of-Concept Study (2025)