Jarmo Teuho

The relationships between non-invasive myocardial work indices, myocardial blood flow and viability determined by PET (2025)

EuroEcho 2024, EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging

Ballo, Haitham, Nammas, Wail; Paunonen, Christian; Teuho, Jarmo; Siekkinen, Reetta; Li, Xiang-Guo; Roivainen, Anne; Knuuti, Juhani; Saraste, Antti

(Abstrakti)

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 )

Trajectories and determinants of myocardial work indices in patients with acute myocardial infarction after primary percutaneous coronary intervention (2025)

EuroEcho 2024, EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging

Ballo, Haitham; Nammas, Wail; Paunonen, Christian; Teuho, Jarmo; Siekkinen, Reetta; Li, Xiang-Guo; Roivainen, Anne; Knuuti, Juhani; Saraste, Antti

(Abstrakti)

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 )

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 )

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 )

Imaging of Myocardial αvβ3Integrin Expression for Evaluation of Myocardial Injury After Acute Myocardial Infarction (2024)

Journal of Nuclear Medicine

Wail Nammas, Christian Paunonen, Jarmo Teuho, Reetta Siekkinen, Pauliina Luoto, Meeri Käkelä, Ari Hietanen, Tapio Viljanen, Matthieu Dietz, John O. Prior, Xiang-Guo Li, Anne Roivainen, Juhani Knuuti, Antti Saraste

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Incremental prognostic value of downstream positron emission tomography perfusion imaging after coronary computed tomography angiography: a study using machine learning (2024)

EHJ Cardiovascular Imaging / European Heart Journal - Cardiovascular Imaging

Lehtonen, Eero; Kujala, Iida; Tamminen, Jonne; Maaniitty, Teemu; Saraste, Antti; Teuho, Jarmo; Knuuti, Juhani; Klen, Riku

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Preliminary protocol for measuring the reproducibility and accuracy of flow values on digital PET/CT systems in [15O]H2O myocardial perfusion imaging using a flow phantom (2024)

EJNMMI Physics

Siekkinen, Reetta; Partanen, Heidi; Kukola, Linda; Tolvanen, Tuula; Fenwick, Andrew; Smith, Nadia A.S.; Teräs, Mika; Saraste, Antti; Teuho, Jarmo

(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 )

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The relationships between non-invasive myocardial work indices, myocardial blood flow and viability determined by PET (2025)

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

Trajectories and determinants of myocardial work indices in patients with acute myocardial infarction after primary percutaneous coronary intervention (2025)

Methods for estimating full width at half maximum (2025)

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

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

Imaging of Myocardial αvβ3Integrin Expression for Evaluation of Myocardial Injury After Acute Myocardial Infarction (2024)

Incremental prognostic value of downstream positron emission tomography perfusion imaging after coronary computed tomography angiography: a study using machine learning (2024)

Preliminary protocol for measuring the reproducibility and accuracy of flow values on digital PET/CT systems in [15O]H2O myocardial perfusion imaging using a flow phantom (2024)

Evaluation metrics and statistical tests for machine learning (2024)