Mojtaba Jafari Tadi
mojtaba.jafaritadi@utu.fi ORCID identifier: https://orcid.org/0000-0002-4085-4057 |
Publications
- 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
(Book chapter (B2)) - Effect of respiratory motion correction and CT-based attenuation correction on dual-gated cardiac PET image quality and quantification (2022)
- Journal of Nuclear Cardiology
(Refereed journal article or data article (A1)) - End-to-end sensor fusion and classification of atrial fibrillation using deep neural networks and smartphone mechanocardiography (2022)
- Physiological Measurement
(Refereed journal article or data article (A1)) - Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks (2021)
- IEEE Access
(Refereed journal article or data article (A1)) - Validation of Automated PET Segmentation Methods Based on Connected Components for Myocardium (2021)
- IEEE Nuclear Science Symposium and Medical Imaging Conference record
(Refereed article in conference proceedings (A4)) - Classification of Atrial Fibrillation and Acute Decompensated Heart Failure Using Smartphone Mechanocardiography: A Multi-label Learning Approach (2020)
- IEEE Sensors Journal
(Refereed journal article or data article (A1)) - Investigating the estimation of cardiac time intervals using gyrocardiography (2020)
- Physiological Measurement
(Refereed journal article or data article (A1)) - A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating (2019)
- Sensors
(Refereed journal article or data article (A1)) - 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
(Refereed journal article or data article (A1)) - Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms (2019)
- IEEE Sensors Journal
(Refereed journal article or data article (A1)) - Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection (2019)
- IEEE Access
(Refereed journal article or data article (A1)) - Stand-alone Heartbeat Detection in Multidimensional Mechanocardiograms (2019)
- IEEE Sensors Journal
(Refereed journal article or data article (A1)) - 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
(Refereed article in conference proceedings (A4)) - Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-derived Seismo- and Gyrocardiography (2018)
- Computing in Cardiology
(Refereed article in conference proceedings (A4)) - Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography (2018)
- Scientific Reports
(Refereed journal article or data article (A1)) - Multidimensional embedded MEMS motion detectors for wearable mechanocardiography and 4D medical imaging (2018) Mojtaba Jafari Tadi
(Doctoral dissertation (article) (G5)) - 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
(Refereed article in conference proceedings (A4)) - A novel dual gating approach using joint inertial sensors: implications for cardiac PET imaging (2017)
- Physics in Medicine and Biology
(Refereed journal article or data article (A1)) - 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
(Refereed article in conference proceedings (A4)) - Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms (2017)
- IEEE Journal of Biomedical and Health Informatics
(Refereed journal article or data article (A1))