Oona Rainio

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 )

Inequalities for a new hyperbolic type metric (2025)

Complex Analysis and its Synergies

Rainio, Oona

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

New 3D segmentation algorithm for modeling of kidney in positron emission tomography images (2025)

Network Modeling Analysis in Health Informatics and Bioinformatics

Rainio, Oona; Latva-Rasku, Aino; Hirvonen, Jussi; Knuuti, Juhani; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Compartmental modeling for blood flow quantification from dynamic 15O-water PET images of humans: a systematic review (2025)

Annals of Nuclear Medicine

Rainio, Oona; Klen, Riku

(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä)

Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections (2025)

European radiology experimental

Rainio, Oona; Huhtanen, Heidi; Vierula, Jari-Pekka; Nurminen, Janne; Heikkinen, Jaakko; Nyman, Mikko; Klén, Riku; Hirvonen, Jussi

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Investigation of total-body applicable compartment models for kinetic modeling in total body 15O-water perfusion PET imaging (2025)

Network Modeling Analysis in Health Informatics and Bioinformatics

Rainio, Oona; Knuuti, Juhani; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Pulmonary blood flow quantification in humans from 15O-water PET (2025)

Annals of Nuclear Medicine

Rainio, Oona; Kärpijoki, Henri; Knuuti, Juhani; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis (2025)

Journal of Medical Engineering and Technology

Rainio, Oona; Jaakkola, Maria K.; Klén, 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)

Methods for estimating full width at half maximum (2025)

Signal, Image and Video Processing

Rainio, Oona; Hällilä, Johanna; Teuho, Jarmo; Klén, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

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

Inequalities for a new hyperbolic type metric (2025)

New 3D segmentation algorithm for modeling of kidney in positron emission tomography images (2025)

Compartmental modeling for blood flow quantification from dynamic 15O-water PET images of humans: a systematic review (2025)

Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections (2025)

Investigation of total-body applicable compartment models for kinetic modeling in total body 15O-water perfusion PET imaging (2025)

Pulmonary blood flow quantification in humans from 15O-water PET (2025)

Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis (2025)

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

Methods for estimating full width at half maximum (2025)