Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging. - Mojtaba Jafari Tadi; Tero Koivisto; Mikko Pänkäälä; Ari Paasio (Int. J. Biomed. Imaging, 2014)

Seismocardiography: Toward heart rate variability (HRV) estimation. - Mojtaba Jafari Tadi; Eero Lehtonen; Tero Koivisto; Mikko Pänkäälä; Ari Paasio; Mika Teräs (MeMeA, 2015)

Heart Rate Variability Estimation with Joint Accelerometer and Gyroscope Sensing. - Olli Lahdenoja; Tero Hurnanen; Mojtaba Jafari Tadi; Mikko Pänkäälä; Tero Koivisto (CinC, 2016)

A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications. - Mojtaba Jafari Tadi; Eero Lehtonen; Jarmo Teuho; Antti Saraste; Mikko Pänkäälä; Mika Teräs; Tero Koivisto (CinC, 2016)

An adaptive approach for heartbeat detection based on S-transform in seismocardiograms. - Mojtaba Jafari Tadi; Eero Lehtonen; Olli Lahdenoja; Mikko Pänkäälä; Tero Koivisto (EMBC, 2016)

Gyrocardiography: A new non-invasive approach in the study of mechanical motions of the heart. Concept, method and initial observations. - Mojtaba Jafari Tadi; Eero Lehtonen; Mikko Pänkäälä; Antti Saraste; Tuija Vasankari; Mika Teräs; Tero Koivisto (EMBC, 2016)

A smartphone-only solution for detecting indications of acute myocardial infarction. - Olli Lahdenoja; Tero Koivisto; Mojtaba Jafari Tadi; Zuhair Iftikhar; Tero Hurnanen; Tuija Vasankari; Tuomas Kiviniemi; Juhani Airaksinen; Mikko Pänkäälä (BHI, 2017)

Automatic identification of signal quality for heart beat detection in cardiac MEMS signals. - Mojtaba Jafari Tadi; Olli Lahdenoja; Tero Humanen; Juho Koskinen; Mikko Pänkäälä; Tero Koivisto (BHI, 2017)

Design and Implementation of a Non-invasive and Cuff-less Arterial Blood Pressure Monitoring System. - Seyed Mohsen Anvari; Amir Hosein Kayvanpour; Mojtaba Jafari Tadi; Tero Koivisto; Mohammadreza Yazdchi; Seyed Mohammad Hasan Nayebpour (CinC, 2017)

Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals. - Olli Lahdenoja; Mojtaba Jafari Tadi; Matti Kaisti; Timo Knuutila; Mikko Pänkäälä; Tero Koivisto (CinC, 2017)

A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals. - Jamo Tuominen; Eero Lehtonen; Mojtaba Jafari Tadi; Juho Koskinen; Mikko Pänkäälä; Tero Koivisto (ISCAS, 2017)

Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms. - Tero Hurnanen; Eero Lehtonen; Mojtaba Jafari Tadi; Tom Kuusela; Tuomas Kiviniemi; Antti Saraste; Tuija Vasankari; Juhani Airaksinen; Tero Koivisto; Mikko Pänkäälä (IEEE J. Biomed. Health Informatics, 2017)

Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-Derived Seismo- and Gyrocardiography. - Saeed Mehrang; Mojtaba Jafari Tadi; Olli Lahdenoja; Matti Kaisti; Tuija Vasankari; Tuomas Kiviniemi; Juhani Airaksinen; Mikko Pänkäälä; Tero Koivisto (CinC, 2018)

Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection. - 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 (IEEE Access, 2019)

Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation. - 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; et al. (npj Digit. Medicine, 2019)

A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating. - Mojtaba Jafari Tadi; Eero Lehtonen; Jarmo Teuho; Juho Koskinen; Jussi Schultz; Reetta Siekkinen; Tero Koivisto; Mikko Pänkäälä; Mika Teräs; Riku Klén (Sensors, 2019)

Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation. - Muhammad Irfan Khan; Mojtaba Jafaritadi; Esa Alhoniemi; Elina Kontio; Suleiman A. Khan (BrainLes@MICCAI (2), 2021)

Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks. - Joaquin Rives Gambin; Mojtaba Jafari Tadi; Jarmo Teuho; Riku Klén; Juhani Knuuti; Juho Koskinen; Antti Saraste; Eero Lehtonen (IEEE Access, 2021)

A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography. - Eero Lehtonen; Jarmo Teuho; Juho Koskinen; Mojtaba Jafari Tadi; Riku Klén; Reetta Siekkinen; Joaquin Rives Gambin; Tuija Vasankari; Antti Saraste (Sensors, 2021)

Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. - Muhammad Irfan Khan; Mohammad Ayyaz Azeem; Esa Alhoniemi; Elina Kontio; Suleiman A. Khan; Mojtaba Jafaritadi (BrainLes@MICCAI (2), 2022)

Mechanocardiograms with ECG reference. - Matti Kaisti; Mojtaba Jafari Tadi; Olli Lahdenoja; Tero Hurnanen; Mikko Pänkäälä; Tero Koivisto (IEEE DataPort, 2022)

RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs. - Muhammad Irfan Khan; Esa Alhoniemi; Elina Kontio; Suleiman A. Khan; Mojtaba Jafaritadi (FMEC, 2023)

Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation. - Muhammad Irfan Khan; Esa Alhoniemi; Elina Kontio; Suleiman A. Khan; Mojtaba Jafaritadi (CoRR, 2023)

Recommender Engine Driven Client Selection in Federated Brain Tumor Segmentation. - Muhammad Irfan Khan; Elina Kontio; Suleiman A. Khan; Mojtaba Jafaritadi (CoRR, 2024)

Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation. - Muhammad Irfan Khan; Elina Kontio; Suleiman A. Khan; Mojtaba Jafaritadi (CoRR, 2024)