Mojtaba Jafari Tadi

Orcid: 0000-0002-4085-4057

According to our database1, Mojtaba Jafari Tadi authored at least 23 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2023
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation.
CoRR, 2023

RegAgg: A Scalable Approach for Efficient Weight Aggregation in Federated Lesion Segmentation of Brain MRIs.
Proceedings of the Eighth International Conference on Fog and Mobile Edge Computing, 2023

2022
Mechanocardiograms with ECG reference.
Dataset, May, 2022

Regularized Weight Aggregation in Networked Federated Learning for Glioblastoma Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography.
Sensors, 2021

Learning to Denoise Gated Cardiac PET Images Using Convolutional Neural Networks.
IEEE Access, 2021

Adaptive Weight Aggregation in Federated Learning for Brain Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2019
A Computational Framework for Data Fusion in MEMS-Based Cardiac and Respiratory Gating.
Sensors, 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.
npj Digit. Medicine, 2019

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

2018
Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-Derived Seismo- and Gyrocardiography.
Proceedings of the Computing in Cardiology, 2018

2017
Automated Detection of Atrial Fibrillation Based on Time-Frequency Analysis of Seismocardiograms.
IEEE J. Biomed. Health Informatics, 2017

A miniaturized low power biomedical sensor node for clinical research and long term monitoring of cardiovascular signals.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Biomedical Signal Quality Assessment via Learning to Rank with an Application to Mechanical Heart Signals.
Proceedings of the Computing in Cardiology, 2017

Design and Implementation of a Non-invasive and Cuff-less Arterial Blood Pressure Monitoring System.
Proceedings of the Computing in Cardiology, 2017

Automatic identification of signal quality for heart beat detection in cardiac MEMS signals.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

A smartphone-only solution for detecting indications of acute myocardial infarction.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

2016
Gyrocardiography: A new non-invasive approach in the study of mechanical motions of the heart. Concept, method and initial observations.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

An adaptive approach for heartbeat detection based on S-transform in seismocardiograms.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A Miniaturized MEMS Motion Processing System for Nuclear Medicine Imaging Applications.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Heart Rate Variability Estimation with Joint Accelerometer and Gyroscope Sensing.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Seismocardiography: Toward heart rate variability (HRV) estimation.
Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications, 2015

2014
Accelerometer-Based Method for Extracting Respiratory and Cardiac Gating Information for Dual Gating during Nuclear Medicine Imaging.
Int. J. Biomed. Imaging, 2014


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