Mojtaba Jafari Tadi

- Docent,
Department of Clinical Medicine (Faculty of Medicine)

mojtaba.jafaritadi@utu.fi

ORCID identifier: https://orcid.org/0000-0002-4085-4057

Publications

1 of 4

Deep learning approaches for the cardiovascular disease diagnosis using smartphone (2022) 5G IoT and Edge Computing for Smart Healthcare Subasi Abdulhamit, Kontio Elina, Jafaritadi Mojtaba
(B2 Non-refereed book chapter or chapter in a compilation book)
Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification (2022)
- Journal of Nuclear Cardiology
Schultz Jussi, Siekkinen Reetta, Jafari Tadi Mojtaba, Teräs Mika, Klén Riku, Lehtonen Eero, Saraste Antti, Teuho Jarmo
(A1 Refereed original research article in a scientific journal)
End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography (2022)
- Physiological Measurement
Mehrang Saeed, Jafari Tadi Mojtaba, Knuutila Timo, Jaakkola Jussi, Jaakkola Samuli, Kiviniemi Tuomas, Vasankari Tuija, Airaksinen Juhani, Koivisto Tero, Pänkäälä Mikko
(A1 Refereed original research article in a scientific journal)
Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks (2021)
- IEEE Access
Rives Gambin Joaquin, Jafari Tadi Mojtaba, Teuho Jarmo, Klén Riku, Knuuti Juhani, Koskinen Juho, Saraste Antti, Lehtonen Eero
(A1 Refereed original research article in a scientific journal)
Validation of Automated PET Segmentation Methods Based on Connected Components for Myocardium (2021)
- IEEE Nuclear Science Symposium and Medical Imaging Conference record
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Siekkinen Reetta, Lehtonen Eero, Teuho Jarmo, Jafari Tadi Mojtaba, Koskinen Juho, Klén Riku
(A4 Refereed article in a conference publication )
Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
Saeed Mehrang, Olli Lahdenoja, Matti Kaisti, Mojtaba Jafari Tadi, Tero Hurnanen, Antti Airola, Timo Knuutila, Jussi Jaakkola, Samuli Jaakkola, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(A1 Refereed original research article in a scientific journal)
Investigating the estimation of cardiac time intervals using gyrocardiography (2020)
- Physiological Measurement
Dehkordi P, Tavakolian K, Tadi MJ, Zakeri V, Khosrow-khavar F
(A1 Refereed original research article in a scientific journal)
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2019)
- Sensors
Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén
(A1 Refereed original research article in a scientific journal)
Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation (2019)
- npj Digital Medicine
Matti Kaisti, Tuukka Panula, Joni Leppänen, Risto Punkkinen, Mojtaba Jafari Tadi, Tuija Vasankari, Samuli Jaakkola, Tuomas Kiviniemi, Juhani Airaksinen, Pekka Kostiainen, Ulf Meriheinä, Tero Koivisto, Mikko Pänkäälä
(A1 Refereed original research article in a scientific journal)
Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
- IEEE Sensors Journal
Mojtaba Jafari Tadi, Saeed Mehrang, Matti Kaisti, Olli Lahdenoja, Tero Hurnanen, Jussi Jaakkola, Samuli Jaakkola, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Timo Knuutila, Eero Lehtonen, Tero Koivisto, Mikko Pänkäälä
(A1 Refereed original research article in a scientific journal)