Reza Sameni

Orcid: 0000-0003-4913-6825

According to our database1, Reza Sameni authored at least 51 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs.
Sensors, September, 2024

Development of a Tremor Detection Algorithm for Use in an Academic Movement Disorders Center.
Sensors, August, 2024

A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.
Sensors, March, 2024

Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test.
CoRR, 2024

ECG-Image-Database: A Dataset of ECG Images with Real-World Imaging and Scanning Artifacts; A Foundation for Computerized ECG Image Digitization and Analysis.
CoRR, 2024

Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data.
CoRR, 2024

Leveraging Large Language Models for Analyzing Blood Pressure Variations Across Biological Sex from Scientific Literature.
CoRR, 2024

Learning from Two Decades of Blood Pressure Data: Demography-Specific Patterns Across 75 Million Patient Encounters.
CoRR, 2024

2023
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram.
IEEE J. Biomed. Health Informatics, August, 2023

Noisy Neonatal Chest Sound Separation for High-Quality Heart and Lung Sounds.
IEEE J. Biomed. Health Informatics, June, 2023

Hierarchical Attentive Network for Gestational Age Estimation in Low-Resource Settings.
IEEE J. Biomed. Health Informatics, May, 2023

Notes on Information Propagation in Noisy Multichannel Data Models: Insights into Sensor Selection and Fusion in Multimodal Biomedical Applications.
CoRR, 2023

Point-of-Care Real-Time Signal Quality for Fetal Doppler Ultrasound Using a Deep Learning Approach.
CoRR, 2023

Beyond Convergence: Identifiability of Machine Learning and Deep Learning Models.
CoRR, 2023

ECG-Image-Kit: A Synthetic Image Generation Toolbox to Facilitate Deep Learning-Based Electrocardiogram Digitization.
CoRR, 2023

A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.
CoRR, 2023

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria.
CoRR, 2023

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising.
CoRR, 2023

Predicting Neurological Recovery from Coma After Cardiac Arrest: The George B. Moody PhysioNet Challenge 2023.
Proceedings of the Computing in Cardiology, 2023

2022
Cramér-Rao Lower Bounds of Model-Based Electrocardiogram Parameter Estimation.
IEEE Trans. Signal Process., 2022

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.
IEEE J. Biomed. Health Informatics, 2022

Model-Based Prediction and Optimal Control of Pandemics by Non-Pharmaceutical Interventions.
IEEE J. Sel. Top. Signal Process., 2022

Modeling Social Distancing and Quantifying Epidemic Disease Exposure in a Built Environment.
IEEE J. Sel. Top. Signal Process., 2022

Real-Time Multi-Level Neonatal Heart and Lung Sound Quality Assessment for Telehealth Applications.
IEEE Access, 2022

A Blind Filtering Framework for Noisy Neonatal Chest Sounds.
IEEE Access, 2022

Subject-Independent Classification of Motor Imagery Tasks in EEG Using Multisubject Ensemble CNN.
IEEE Access, 2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.
Proceedings of the Computing in Cardiology, 2022

2021
Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models.
CoRR, 2021

Noninvasive Fetal Electrocardiography: Models, Technologies and Algorithms.
CoRR, 2021

Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks.
CoRR, 2021

A Hypothesis Testing Approach to Nonstationary Source Separation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Is Riemannian Geometry Better than Euclidean in Averaging Covariance Matrices for CSP-based Subject-Independent Classification of Motor Imagery?
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

An Ensemble CNN for Subject-Independent Classification of Motor Imagery-based EEG.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Temporally Nonstationary Component Analysis; Application to Noninvasive Fetal Electrocardiogram Extraction.
IEEE Trans. Biomed. Eng., 2020

A Theoretical Analysis of the Peaking Phenomenon in Classification.
J. Classif., 2020

AdvFPCG-Delineator: Advanced delineator for fetal phonocardiography.
Biomed. Signal Process. Control., 2020

2017
Online filtering using piecewise smoothness priors: Application to normal and abnormal electrocardiogram denoising.
Signal Process., 2017

Interpretive time-frequency analysis of genomic sequences.
BMC Bioinform., 2017

2016
High-Speed Hardware Implementation of Fixed and Runtime Variable Window Length 1-D Median Filters.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

2014
Scoring consensus of multiple ECG annotators by optimal sequence alignment.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Morphological modeling of cardiac signals based on signal decomposition.
Comput. Biol. Medicine, 2013

Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013.
Proceedings of the Computing in Cardiology, 2013

Fetal QRS Complex Detection using Semi-Blind Source Separation Framework.
Proceedings of the Computing in Cardiology, 2013

A Robust Framework for Noninvasive Extraction of Fetal Electrocardiogram Signals.
Proceedings of the Computing in Cardiology, 2013

2010
A deflation procedure for subspace decomposition.
IEEE Trans. Signal Process., 2010

2009
Sequential Blind Source Extraction For Quasi-Periodic Signals With Time-Varying Period.
IEEE Trans. Biomed. Eng., 2009

Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

2008
Multichannel Electrocardiogram Decomposition Using Periodic Component Analysis.
IEEE Trans. Biomed. Eng., 2008

MR artifact reduction in the simultaneous acquisition of EEG and FMRI of epileptic patients.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
A Nonlinear Bayesian Filtering Framework for ECG Denoising.
IEEE Trans. Biomed. Eng., 2007

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals.
EURASIP J. Adv. Signal Process., 2007


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