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 2

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)
Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
- IEEE Access
Saeed Mehrang, Mojtaba Jafari Tadi, Tero Hurnanen, Timo Knuutila, Olli Lahdenoja, Jussi Jaakkola, Samuli Jaakkola, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(A1 Refereed original research article in a scientific journal)
Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
- IEEE Sensors Journal
Matti Kaisti, Mojtaba Jafari Tadi, Olli Lahdenoja, Tero Hurnanen, Antti Saraste, Mikko Pänkäälä, Tero Koivisto
(A1 Refereed original research article in a scientific journal)
Heartbeat Detection Using Multidimensional Cardiac Motion Signals and Dynamic Balancing (2018) EMBEC & NBC 2017: Joint Conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), Tampere, Finland, June 2017 Tero Hurnanen,Matti Kaisti,Mojtaba Jafari Tadi,Matti Vähä-Heikkilä,Sami Nieminen,Zuhair Iftikhar,Mikko Paukkunen,Mikko Pänkäälä,Tero Koivisto
(A4 Refereed article in a conference publication )
Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
- Computing in Cardiology
CinC 2018: Proceedings Saeed Mehrang, Mojtaba Jafari Tadi, Matti Kaisti, Olli Lahdenoja, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(A4 Refereed article in a conference publication )
Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography (2018)
- Scientific Reports
Zuhair Iftikhar, Olli Lahdenoja, Mojtaba Jafari Tadi, Tero Hurnanen, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(A1 Refereed original research article in a scientific journal)
Multidimensional embedded MEMS motion detectors for wearable mechanocardiography and 4D medical imaging (2018) Mojtaba Jafari Tadi
(G5 Article dissertation )
A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals (2017) 2017 IEEE International Symposium on Circuits and Systems (ISCAS) Jarno Tuominen, Eero Lehtonen, Mojtaba Jafari Tadi, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto
(A4 Refereed article in a conference publication )
A novel dual gating approach using joint inertial sensors: implications for cardiac PET imaging (2017)
- Physics in Medicine and Biology
Tadi MJ, Teuho J, Lehtonen E, Saraste A, Pankaala M, Koivisto T, Teras M
(A1 Refereed original research article in a scientific journal)
A Smartphone-only Solution for Detecting Indications of Acute Myocardial Infarction (2017) Biomedical & Health Informatics (BHI), 2017 IEEE EMBS International Conference on Lähdenoja O, Koivisto T, Tadi MJ, Iftikhar Z, Hurnanen T, Vasankari T, Kiviniemi T, Airaksinen J, Pänkäälä M
(A4 Refereed article in a conference publication )
Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms (2017)
- IEEE Journal of Biomedical and Health Informatics
Tero Hurnanen, Eero Lehtonen, Mojtaba Jafari Tadi, Tom Kuusela, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä
(A1 Refereed original research article in a scientific journal)