Discrete Polynomial Transform for Digital Imagewatermarking Application. - Lam Le; Sridhar Krishnan 001; Behnaz Ghoraani (ICME, 2006)

Chirp-Based Image Watermarking as Error-Control Coding. - Behnaz Ghoraani; Sridhar Krishnan 001 (IIH-MSP, 2006)

Adaptive time-frequency signal analysis and its case study in biomedical ecgwaveform analysis. - Behnaz Ghoraani; Sridhar Krishnan 001; Raja J. Selvaraj; Vijay S. Chauhan (DPS, 2009)

A Joint Time-Frequency and Matrix Decomposition Feature Extraction Methodology for Pathological Voice Classification. - Behnaz Ghoraani; Sridhar Krishnan 001 (EURASIP J. Adv. Signal Process., 2009)

Discriminative base decomposition for time-frequency matrix decomposition. - Behnaz Ghoraani; Sridhar Krishnan 001 (ICASSP, 2010)

Audio Signal Processing Using Time-Frequency Approaches: Coding, Classification, Fingerprinting, and Watermarking. - Karthikeyan Umapathy; Behnaz Ghoraani; Sridhar Krishnan 001 (EURASIP J. Adv. Signal Process., 2010)

Audio scene analysis using parametric signal features. - Hamid Asefi; Behnaz Ghoraani; Andy Gean Ye; Sridhar Krishnan 001 (CCECE, 2011)

Hardware-software analysis of pole model features. - Hamid Asefi; Behnaz Ghoraani; Andy Gean Ye; Sridhar Krishnan 001 (CCECE, 2011)

Telephone-quality pathological speech classification using empirical mode decomposition. - M. F. Kaleem; Behnaz Ghoraani; Aziz Guergachi; Sridhar Krishnan 001 (EMBC, 2011)

Time-Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals. - Behnaz Ghoraani; Sridhar Krishnan 001 (IEEE Trans. Speech Audio Process., 2011)

Characterization of fractionated electrograms using a novel time-frequency based algorithm. - Behnaz Ghoraani; Sridhar Krishnan 001; Vijay S. Chauhan (EMBC, 2012)

Discriminant Non-stationary Signal Features' Clustering Using Hard and Fuzzy Cluster Labeling. - Behnaz Ghoraani; Sridhar Krishnan 001 (EURASIP J. Adv. Signal Process., 2012)

Pathological speech signal analysis and classification using empirical mode decomposition. - Muhammad Kaleem; Behnaz Ghoraani; Aziz Guergachi; Sridhar Krishnan 001 (Medical Biol. Eng. Comput., 2013)

Developing an atrial activity-based algorithm for detection of atrial fibrillation. - Steven Ladavich; Behnaz Ghoraani (EMBC, 2014)

Analysis of cochlear implant artifact removal techniques using the continuous wavelet transform. - Daniel Sinkiewicz; Lendra Friesen; Behnaz Ghoraani (EMBC, 2014)

Developing time-frequency features for prediction of the recurrence of atrial fibrillation after electrical cardioversion therapy. - Mark Sterling; David T. Huang; Behnaz Ghoraani (EMBC, 2014)

Automatic localization of epileptic spikes in eegs of children with infantile spasms. - Supachan Traitruengsakul; Laurie E. Seltzer; Alex R. Paciorkowski; Behnaz Ghoraani (EMBC, 2015)

Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity. - Steven Ladavich; Behnaz Ghoraani (Biomed. Signal Process. Control., 2015)

Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation. - Mark Sterling; David T. Huang; Behnaz Ghoraani (Comput. Math. Methods Medicine, 2015)

Structure-Constrained Basis Pursuit for Compressed Sensing. - Miguel Domínguez; Behnaz Ghoraani (CoRR, 2015)

Joint and Discriminative Dictionary Learning for Facial Expression Recognition. - Sriram Kumar; Behnaz Ghoraani; Andreas E. Savakis (IMAWM, 2016)

Development of a novel probabilistic algorithm for localization of rotors during atrial fibrillation. - Prasanth Ganesan; Anthony J. Salmin; Elizabeth M. Cherry; Behnaz Ghoraani (EMBC, 2016)

Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors. - Murtadha D. Hssayeni; Michelle A. Burack; Behnaz Ghoraani (EMBC, 2016)

Development of MATLAB software to control data acquisition from a multichannel systems multi-electrode array. - Erik Messier; Behnaz Ghoraani (EMBC, 2016)

A novel catheter-guidance algorithm for localization of atrial fibrillation rotor and focal sources. - Anthony J. Salmin; Prasanth Ganesan; Kristina E. Shillieto; Elizabeth M. Cherry; David T. Huang; Arkady M. Pertsov; Behnaz Ghoraani (EMBC, 2016)

Development of data acquisition components for simultaneous recording of 3D epicardial and surface ECG signals in the langendorff perfusion apparatus. - Ryan Wade Selby; Anup Jonchhe; Chen Kaplan; Coeli M. Lopes; Behnaz Ghoraani (EMBC, 2016)

Catheter simulator software tool to generate electrograms of any multi-polar diagnostic catheter from 3D atrial tissue. - Kristina E. Shillieto; Prasanth Ganesan; Anthony J. Salmin; Elizabeth M. Cherry; Arkady M. Pertsov; Behnaz Ghoraani (EMBC, 2016)

A novel time-frequency feature extraction algorithm based on dictionary learning. - Jefferson Medel; Andreas E. Savakis; Behnaz Ghoraani (ICASSP, 2016)

Class-specific discriminant time-frequency analysis using novel jointly learnt non-negative matrix factorization. - Behnaz Ghoraani (EURASIP J. Adv. Signal Process., 2016)

Parkinson's disease medication state management using data fusion of wearable sensors. - Vignesh Ramji; Murtadha D. Hssayeni; Michelle A. Burack; Behnaz Ghoraani (BHI, 2017)

Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization. - Prasanth Ganesan; Kristina E. Shillieto; Behnaz Ghoraani (CBMS, 2017)

Developing a novel epileptic discharge localization algorithm for electroencephalogram infantile spasms during hypsarrhythmia. - Supachan Traitruengsakul; Laurie E. Seltzer; Alex R. Paciorkowski; Behnaz Ghoraani (Medical Biol. Eng. Comput., 2017)

Developing an Iterative Tracking Algorithm to Guide a Catheter Towards Atrial Fibrillation Rotor Sources in Simulated Fibrotic Tissue. - Prasanth Ganesan; Hussein Zilouchian; Elizabeth Cherry; Arkady M. Pertsov; Behnaz Ghoraani (CinC, 2018)

Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors. - Murtadha D. Hssayeni; Jamie L. Adams; Behnaz Ghoraani (EMBC, 2018)

Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. - Murtadha D. Hssayeni; Michelle A. Burack; Joohi Jimenez-Shahed; Behnaz Ghoraani (CoRR, 2018)

Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III. - Murtadha D. Hssayeni; Joohi Jimenez-Shahed; Michelle A. Burack; Behnaz Ghoraani (BHI, 2019)

Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. - Prasanth Ganesan; Sivaramakrishnan Rajaraman; L. Rodney Long; Behnaz Ghoraani; Sameer K. Antani (EMBC, 2019)

Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. - Prasanth Ganesan; Zhiyun Xue; Sanjana Singh; L. Rodney Long; Behnaz Ghoraani; Sameer K. Antani (EMBC, 2019)

Continuous Parkinsonian Tremor Estimation Using Motion Data. - Murtadha D. Hssayeni; Joohi Jimenez-Shahed; Michelle A. Burack; Behnaz Ghoraani (GlobalSIP, 2019)

A Novel Resource-aware Tensor Decomposition Design Based on Reinforcement Learning. - Behnaz Ghoraani (ICASSP, 2019)

Intracranial Hemorrhage Segmentation Using Deep Convolutional Model. - Murtadha D. Hssayeni; Muayad Sadik Croock; Aymen Al-Ani; Hassan Falah Al-khafaji; Zakaria A. Yahya; Behnaz Ghoraani (CoRR, 2019)

Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients. - Murtadha D. Hssayeni; Joohi Jimenez-Shahed; Behnaz Ghoraani (Entropy, 2019)

Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements. - Murtadha D. Hssayeni; Joohi Jimenez-Shahed; Michelle A. Burack; Behnaz Ghoraani (Sensors, 2019)

Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. - Lillian N. Boettcher; Murtadha D. Hssayeni; Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin; Behnaz Ghoraani (EMBC, 2020)

Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network. - Murtadha D. Hssayeni; Joohi Jimenez-Shahed; Michelle A. Burack; Behnaz Ghoraani (EMBC, 2020)

Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. - Murtadha D. Hssayeni; Teresa Wilcox; Behnaz Ghoraani (EMBC, 2020)

Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model. - Murtadha D. Hssayeni; Muayad Sadik Croock; Aymen Dawood Salman; Hassan Falah Al-khafaji; Zakaria A. Yahya; Behnaz Ghoraani (Data, 2020)

Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. - Behnaz Ghoraani; Murtadha D. Hssayeni; Michelle A. Burack; Joohi Jimenez-Shahed (IEEE J. Biomed. Health Informatics, 2020)

Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning. - Murtadha D. Hssayeni; Behnaz Ghoraani (IEEE Access, 2021)

Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning. - Behnaz Ghoraani; Lillian N. Boettcher; Murtadha D. Hssayeni; Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin (Biomed. Signal Process. Control., 2021)

The forecast of COVID-19 spread risk at the county level. - Murtadha D. Hssayeni; Arjuna Chala; Roger Dev; Lili Xu; Jesse Shaw; Borko Furht; Behnaz Ghoraani (J. Big Data, 2021)

Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects. - Shelly Davidashvilly; Murtadha D. Hssayeni; Christopher Chi; Joohi Jimenez-Shahed; Behnaz Ghoraani (EMBC, 2022)

Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model. - Murtadha D. Hssayeni; Joohi Jimenez-Shahed; Behnaz Ghoraani (EMBC, 2022)

Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). - Mahmoud Seifallahi; James E. Galvin; Behnaz Ghoraani (ICDM (Workshops), 2022)

Incremental Learning in Time-series Data using Reinforcement Learning. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (ICDM (Workshops), 2022)

Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition. - Jasmine Y. Chan; Teresa Wilcox; Murtadha D. Hssayeni; Behnaz Ghoraani (SMC, 2022)

Biological Signal Processing and Analysis for Healthcare Monitoring. - Yunfeng Wu; Behnaz Ghoraani (Sensors, 2022)

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]. - 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 001 (IEEE Signal Process. Mag., 2023)

IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]. - 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 001 (IEEE Signal Process. Mag., 2023)

Advancing Parkinson's Disease Management Through Multi-Shared-Task Self-Supervised Signal Processing. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (IEEECONF, 2024)

Mild Cognitive Impairment Detection through Gait Analysis and Standard Cameras. - Brennen Farrell; Julia Horn; Mahmoud Seifallahi; James E. Galvin; Behnaz Ghoraani (EMBC, 2024)

Smartphone-Based Balance Assessment Using Machine Learning. - Marjan Nassajpour; Mustafa Shuqair; Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin; Behnaz Ghoraani (EMBC, 2024)

Integrating Wearable Sensor Technology and Machine Learning for Objective m-CTSIB Balance Score Estimation. - Marjan Nassajpour; Mustafa Shuqair; D. P. T. Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin; Behnaz Ghoraani (EMBC, 2024)

Wearable Sensor Configurations for Effective Tremor Assessment in Parkinson's Disease. - Shay Reardon; Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (EMBC, 2024)

Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (EMBC, 2024)

Tensor Decomposition for fNIRS-Based Purchase Intention Decoding in Neuromarketing. - Jasmine Y. Chan; Terrence M. Barnhardt; Behnaz Ghoraani; Teresa Wilcox (SiPS, 2024)

Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning. - Marjan Nassajpour; Mustafa Shuqair; Amie Rosenfeld; Magdalena I. Tolea; James E. Galvin; Behnaz Ghoraani (Frontiers Digit. Health, 2024)

Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease. - Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (IEEE J. Biomed. Health Informatics, 2024)

Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data. - Murtadha D. Hssayeni; Behnaz Ghoraani (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

QCSNN: A Memory-Efficient Spiking Neural Network for On-Device ECG-Based Arrhythmia Detection. - Olamilekan Banjo; Behnaz Ghoraani (COINS, 2025)

Multi-channel Time-series Transformer for Wearable Monitoring of Rigidity in Parkinson's Disease. - John Forde; Mustafa Shuqair; Joohi Jimenez-Shahed; Behnaz Ghoraani (COINS, 2025)

An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models. - Anantharaman Janakiraman; Behnaz Ghoraani (CoRR, 2025)