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ORCIDMojtaba Jafari Tadi
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2020 – today
- 2023
[c14]Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs. FMEC 2023: 101-106- [i2]Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio
, Suleiman A. Khan, Mojtaba Jafaritadi:
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. CoRR abs/2301.12617 (2023) - [i1]Muhammad Irfan Khan, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation. CoRR abs/2308.00856 (2023) - 2022
- [c13]Muhammad Irfan Khan, Mohammad Ayyaz Azeem, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan, Mojtaba Jafaritadi:
Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation. BrainLes@MICCAI (2) 2022: 121-132 - [d1]Matti Kaisti, Mojtaba Jafari Tadi, Olli Lahdenoja, Tero Hurnanen, Mikko Pänkäälä, Tero Koivisto:
Mechanocardiograms with ECG reference. IEEE DataPort, 2022
- 2021
- [j7]Joaquin Rives Gambin, Mojtaba Jafari Tadi, Jarmo Teuho, Riku Klén, Juhani Knuuti, Juho Koskinen, Antti Saraste, Eero Lehtonen:
Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks. IEEE Access 9: 145886-145899 (2021) - [j6]Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Mojtaba Jafari Tadi, Riku Klén, Reetta Siekkinen, Joaquin Rives Gambin, Tuija Vasankari, Antti Saraste:
A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography. Sensors 21(12): 3983 (2021) - [c12]Muhammad Irfan Khan, Mojtaba Jafaritadi, Esa Alhoniemi, Elina Kontio, Suleiman A. Khan:
Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 455-469
2010 – 2019
- 2019
- [j5]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:
Reliability of Self-Applied Smartphone Mechanocardiography for Atrial Fibrillation Detection. IEEE Access 7: 146801-146812 (2019) - [j4]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:
Clinical assessment of a non-invasive wearable MEMS pressure sensor array for monitoring of arterial pulse waveform, heart rate and detection of atrial fibrillation. npj Digit. Medicine 2 (2019) - [j3]Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Juho Koskinen, Jussi Schultz, Reetta Siekkinen, Tero Koivisto, Mikko Pänkäälä, Mika Teräs, Riku Klén:
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating. Sensors 19(19): 4137 (2019) - 2018
- [c11]Saeed Mehrang, Mojtaba Jafari Tadi, Olli Lahdenoja, Matti Kaisti, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Mikko Pänkäälä, Tero Koivisto:
Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-Derived Seismo- and Gyrocardiography. CinC 2018: 1-4 - 2017
- [j2]Tero Hurnanen, Eero Lehtonen, Mojtaba Jafari Tadi, Tom Kuusela, Tuomas Kiviniemi, Antti Saraste, Tuija Vasankari, Juhani Airaksinen, Tero Koivisto, Mikko Pänkäälä:
Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms. IEEE J. Biomed. Health Informatics 21(5): 1233-1241 (2017) - [c10]Mojtaba Jafari Tadi, Olli Lahdenoja, Tero Humanen, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto:
Automatic identification of signal quality for heart beat detection in cardiac MEMS signals. BHI 2017: 137-140 - [c9]Olli Lahdenoja, Tero Koivisto, Mojtaba Jafari Tadi, Zuhair Iftikhar, Tero Hurnanen, Tuija Vasankari, Tuomas Kiviniemi, Juhani Airaksinen, Mikko Pänkäälä:
A smartphone-only solution for detecting indications of acute myocardial infarction. BHI 2017: 197-200 - [c8]Seyed Mohsen Anvari, Amir Hosein Kayvanpour, Mojtaba Jafari Tadi, Tero Koivisto, Mohammadreza Yazdchi, Seyed Mohammad Hasan Nayebpour:
Design and Implementation of a Non-invasive and Cuff-less Arterial Blood Pressure Monitoring System. CinC 2017 - [c7]Olli Lahdenoja, Mojtaba Jafari Tadi, Matti Kaisti, Timo Knuutila, Mikko Pänkäälä, Tero Koivisto:
Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals. CinC 2017 - [c6]Jamo Tuominen, Eero Lehtonen, Mojtaba Jafari Tadi, Juho Koskinen, Mikko Pänkäälä, Tero Koivisto:
A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals. ISCAS 2017: 1-4 - 2016
- [c5]Olli Lahdenoja, Tero Hurnanen, Mojtaba Jafari Tadi, Mikko Pänkäälä, Tero Koivisto:
Heart Rate Variability Estimation with Joint Accelerometer and Gyroscope Sensing. CinC 2016 - [c4]Mojtaba Jafari Tadi, Eero Lehtonen, Jarmo Teuho, Antti Saraste, Mikko Pänkäälä, Mika Teräs, Tero Koivisto:
A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications. CinC 2016 - [c3]Mojtaba Jafari Tadi, Eero Lehtonen, Mikko Pänkäälä, Antti Saraste, Tuija Vasankari, Mika Teräs, Tero Koivisto:
Gyrocardiography: A new non-invasive approach in the study of mechanical motions of the heart. Concept, method and initial observations. EMBC 2016: 2034-2037 - [c2]Mojtaba Jafari Tadi, Eero Lehtonen, Olli Lahdenoja, Mikko Pänkäälä, Tero Koivisto:
An adaptive approach for heartbeat detection based on S-transform in seismocardiograms. EMBC 2016: 2370-2373 - 2015
- [c1]Mojtaba Jafari Tadi, Eero Lehtonen, Tero Koivisto, Mikko Pänkäälä, Ari Paasio, Mika Teräs:
Seismocardiography: Toward heart rate variability (HRV) estimation. MeMeA 2015: 261-266 - 2014
- [j1]Mojtaba Jafari Tadi, Tero Koivisto, Mikko Pänkäälä, Ari Paasio:
Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging. Int. J. Biomed. Imaging 2014: 690124:1-690124:11 (2014)
Coauthor Index
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