Behnaz Ghoraani

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 40

Top Topics

Atrial Fibrillation

Mild Cognitive Impairment

Tensor Decomposition

Dictionary Learning

Top Venues

Biomed. Signal Process. Control.

Publications

Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning. Frontiers Digit. Health 6 (2024)
Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]. IEEE Signal Process. Mag. 40 (4) (2023)
Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu
IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]. IEEE Signal Process. Mag. 40 (5) (2023)
Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani
Incremental Learning in Time-series Data using Reinforcement Learning. ICDM (Workshops) (2022)
Yunfeng Wu, Behnaz Ghoraani
Biological Signal Processing and Analysis for Healthcare Monitoring. Sensors 22 (14) (2022)
Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani
Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). ICDM (Workshops) (2022)
Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani
Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model. EMBC (2022)
Shelly Davidashvilly, Murtadha D. Hssayeni, Christopher Chi, Joohi Jimenez-Shahed, Behnaz Ghoraani
Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects. EMBC (2022)
Jasmine Chan, Teresa Wilcox, Murtadha D. Hssayeni, Behnaz Ghoraani
Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition. SMC (2022)
Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin
Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning. Biomed. Signal Process. Control. 64 (2021)
Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani
The forecast of COVID-19 spread risk at the county level. J. Big Data 8 (1) (2021)
Murtadha D. Hssayeni, Behnaz Ghoraani
Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning. IEEE Access 9 (2021)
Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani
Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. EMBC (2020)
Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Dawood Salman, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani
Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model. Data 5 (1) (2020)
Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle M. Bruack, Joohi Jimenez-Shahed
Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. IEEE J. Biomed. Health Informatics 24 (5) (2020)
Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network. EMBC (2020)
Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani
Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. EMBC (2020)
Prasanth Ganesan, Zhiyun Xue, Sanjana Singh, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani
Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. EMBC (2019)
Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. EMBC (2019)
Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Continuous Parkinsonian Tremor Estimation Using Motion Data. GlobalSIP (2019)
Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani
Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients. Entropy 21 (2) (2019)
Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements. Sensors 19 (19) (2019)
Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Al-Ani, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model. CoRR (2019)
Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani
Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III. BHI (2019)
Behnaz Ghoraani
A Novel Resource-aware Tensor Decomposition Design Based on Reinforcement Learning. ICASSP (2019)
Prasanth Ganesan, Hussein Zilouchian, Elizabeth Cherry, Arkady M. Pertsov, Behnaz Ghoraani
Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. CinC (2018)
Murtadha D. Hssayeni, Jamie L. Adams, Behnaz Ghoraani
Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors. EMBC (2018)
Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, Behnaz Ghoraani
Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. CoRR (2018)
Prasanth Ganesan, Kristina E. Shillieto, Behnaz Ghoraani
Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization. CBMS (2017)
Vignesh Ramji, Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani
Parkinson's disease medication state management using data fusion of wearable sensors. BHI (2017)
Supachan Traitruengsakul, Laurie E. Seltzer, Alex R. Paciorkowski, Behnaz Ghoraani
Developing a novel epileptic discharge localization algorithm for electroencephalogram infantile spasms during hypsarrhythmia. Medical Biol. Eng. Comput. 55 (9) (2017)
Anthony J. Salmin, Prasanth Ganesan, Kristina E. Shillieto, Elizabeth M. Cherry, David T. Huang, Arkady M. Pertsov, Behnaz Ghoraani
A novel catheter-guidance algorithm for localization of atrial fibrillation rotor and focal sources. EMBC (2016)
Jefferson Medel, Andreas E. Savakis, Behnaz Ghoraani
A novel time-frequency feature extraction algorithm based on dictionary learning. ICASSP (2016)
Kristina E. Shillieto, Prasanth Ganesan, Anthony J. Salmin, Elizabeth M. Cherry, Arkady M. Pertsov, Behnaz Ghoraani
Catheter simulator software tool to generate electrograms of any multi-polar diagnostic catheter from 3D atrial tissue. EMBC (2016)
Behnaz Ghoraani
Class-specific discriminant time-frequency analysis using novel jointly learnt non-negative matrix factorization. EURASIP J. Adv. Signal Process. 2016 (2016)
Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani
Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors. EMBC (2016)
Sriram Kumar, Behnaz Ghoraani, Andreas E. Savakis
Joint and Discriminative Dictionary Learning for Facial Expression Recognition. IMAWM (2016)
Prasanth Ganesan, Anthony J. Salmin, Elizabeth M. Cherry, Behnaz Ghoraani
Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation. EMBC (2016)
Erik Messier, Behnaz Ghoraani
Development of MATLAB software to control data acquisition from a multichannel systems multi-electrode array. EMBC (2016)
Ryan Wade Selby, Anup Jonchhe, Chen Kaplan, Coeli M. Lopes, Behnaz Ghoraani
Development of data acquisition components for simultaneous recording of 3D epicardial and surface ECG signals in the langendorff perfusion apparatus. EMBC (2016)
Mark Sterling, David T. Huang, Behnaz Ghoraani
Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation. Comput. Math. Methods Medicine 2015 (2015)
Supachan Traitruengsakul, Laurie E. Seltzer, Alex R. Paciorkowski, Behnaz Ghoraani
Automatic localization of epileptic spikes in eegs of children with infantile spasms. EMBC (2015)
Miguel Domínguez, Behnaz Ghoraani
Structure-Constrained Basis Pursuit for Compressed Sensing. CoRR (2015)
Steven Ladavich, Behnaz Ghoraani
Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity. Biomed. Signal Process. Control. 18 (2015)
Mark Sterling, David T. Huang, Behnaz Ghoraani
Developing time-frequency features for prediction of the recurrence of atrial fibrillation after electrical cardioversion therapy. EMBC (2014)
Steven Ladavich, Behnaz Ghoraani
Developing an atrial activity-based algorithm for detection of atrial fibrillation. EMBC (2014)
Daniel Sinkiewicz, Lendra Friesen, Behnaz Ghoraani
Analysis of cochlear implant artifact removal techniques using the continuous wavelet transform. EMBC (2014)
Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan
Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. 51 (7) (2013)
Behnaz Ghoraani, Sridhar Krishnan
Discriminant Non-stationary Signal Features' Clustering Using Hard and Fuzzy Cluster Labeling. EURASIP J. Adv. Signal Process. 2012 (2012)
Behnaz Ghoraani, Sridhar Krishnan, Vijay S. Chauhan
Characterization of fractionated electrograms using a novel time-frequency based algorithm. EMBC (2012)
M. F. Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan
Telephone-quality pathological speech classification using empirical mode decomposition. EMBC (2011)
Behnaz Ghoraani, Sridhar Krishnan
Time-Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals. IEEE Trans. Speech Audio Process. 19 (7) (2011)
Hamid Asefi, Behnaz Ghoraani, Andy Ye, Sridhar Krishnan
Hardware-software analysis of pole model features. CCECE (2011)
Hamid Asefi, Behnaz Ghoraani, Andy Ye, Sridhar Krishnan
Audio scene analysis using parametric signal features. CCECE (2011)
Karthikeyan Umapathy, Behnaz Ghoraani, Sridhar Krishnan
Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking. EURASIP J. Adv. Signal Process. 2010 (2010)
Behnaz Ghoraani, Sridhar Krishnan
Discriminative base decomposition for time-frequency matrix decomposition. ICASSP (2010)
Behnaz Ghoraani, Sridhar Krishnan
A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification. EURASIP J. Adv. Signal Process. 2009 (2009)
Behnaz Ghoraani, Sridhar Krishnan, Raja J. Selvaraj, Vijay S. Chauhan
Adaptive time-frequency signal analysis and its case study in biomedical ecgwaveform analysis. DPS (2009)
Behnaz Ghoraani, Sridhar Krishnan
Chirp-Based Image Watermarking as Error-Control Coding. IIH-MSP (2006)
Lam Le, Sridhar Krishnan, Behnaz Ghoraani
Discrete Polynomial Transform for Digital Imagewatermarking Application. ICME (2006)