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ORCIDBehnaz Ghoraani
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2020 – today
- 2024
[j22]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)- [j21]Murtadha D. Hssayeni, Behnaz Ghoraani:
Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3767-3778 (2024) - [j20]Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease. IEEE J. Biomed. Health Informatics 28(10): 6168-6179 (2024) - [c43]Brennen Farrell, Julia Horn, Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani:
Mild Cognitive Impairment Detection through Gait Analysis and Standard Cameras. EMBC 2024: 1-4 - [c42]Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
Smartphone-Based Balance Assessment Using Machine Learning. EMBC 2024: 1-4 - [c41]Marjan Nassajpour, Mustafa Shuqair, D. P. T. Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
Integrating Wearable Sensor Technology and Machine Learning for Objective m-CTSIB Balance Score Estimation. EMBC 2024: 1-4 - [c40]Shay Reardon, Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Wearable Sensor Configurations for Effective Tremor Assessment in Parkinson's Disease. EMBC 2024: 1-4 - [c39]Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III. EMBC 2024: 1-4 - [c38]Jasmine Y. Chan, Terrence M. Barnhardt, Behnaz Ghoraani, Teresa Wilcox:
Tensor Decomposition for fNIRS-Based Purchase Intention Decoding in Neuromarketing. SiPS 2024: 37-42 - 2023
- [j19]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): 3-6 (2023) - [j18]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): 8-11 (2023) - 2022
- [j17]Yunfeng Wu, Behnaz Ghoraani:
Biological Signal Processing and Analysis for Healthcare Monitoring. Sensors 22(14): 5341 (2022) - [c37]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model. EMBC 2022: 3195-3198 - [c36]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: 3199-3202 - [c35]Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani:
Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). ICDM (Workshops) 2022: 248-253 - [c34]Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Incremental Learning in Time-series Data using Reinforcement Learning. ICDM (Workshops) 2022: 868-875 - [c33]Jasmine Y. Chan, Teresa Wilcox, Murtadha D. Hssayeni, Behnaz Ghoraani:
Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition. SMC 2022: 1317-1321 - 2021
- [j16]Murtadha D. Hssayeni, Behnaz Ghoraani:
Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning. IEEE Access 9: 21642-21652 (2021) - [j15]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: 102249 (2021) - [j14]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): 99 (2021) - 2020
- [j13]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): 14 (2020) - [j12]Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed:
Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. IEEE J. Biomed. Health Informatics 24(5): 1284-1295 (2020) - [c32]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: 394-397 - [c31]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: 3204-3207 - [c30]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: 6001-6004
2010 – 2019
- 2019
- [j11]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): 137 (2019) - [j10]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): 4215 (2019) - [c29]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: 1-4 - [c28]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: 841-844 - [c27]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: 4487-4490 - [c26]Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
Continuous Parkinsonian Tremor Estimation Using Motion Data. GlobalSIP 2019: 1-5 - [c25]Behnaz Ghoraani:
A Novel Resource-aware Tensor Decomposition Design Based on Reinforcement Learning. ICASSP 2019: 3447-3451 - [i3]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 abs/1910.08643 (2019) - 2018
- [c24]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: 1-4 - [c23]Murtadha D. Hssayeni, Jamie L. Adams, Behnaz Ghoraani:
Deep Learning for Medication Assessment of Individuals with Parkinson's Disease Using Wearable Sensors. EMBC 2018: 1-4 - [i2]Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed, Behnaz Ghoraani:
Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. CoRR abs/1809.06973 (2018) - 2017
- [j9]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): 1659-1668 (2017) - [c22]Vignesh Ramji, Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani:
Parkinson's disease medication state management using data fusion of wearable sensors. BHI 2017: 193-196 - [c21]Prasanth Ganesan, Kristina E. Shillieto, Behnaz Ghoraani:
Simulation of Spiral Waves and Point Sources in Atrial Fibrillation with Application to Rotor Localization. CBMS 2017: 379-384 - 2016
- [j8]Behnaz Ghoraani:
Class-specific discriminant time-frequency analysis using novel jointly learnt non-negative matrix factorization. EURASIP J. Adv. Signal Process. 2016: 95 (2016) - [c20]Sriram Kumar, Behnaz Ghoraani, Andreas E. Savakis:
Joint and Discriminative Dictionary Learning for Facial Expression Recognition. IMAWM 2016: 1-6 - [c19]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: 493-496 - [c18]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: 501-504 - [c17]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: 2733-2736 - [c16]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: 2741-2744 - [c15]Erik Messier, Behnaz Ghoraani:
Development of MATLAB software to control data acquisition from a multichannel systems multi-electrode array. EMBC 2016: 3551-3554 - [c14]Murtadha D. Hssayeni, Michelle A. Burack, Behnaz Ghoraani:
Automatic assessment of medication states of patients with Parkinson's disease using wearable sensors. EMBC 2016: 6082-6085 - [c13]Jefferson Medel, Andreas E. Savakis, Behnaz Ghoraani:
A novel time-frequency feature extraction algorithm based on dictionary learning. ICASSP 2016: 4895-4899 - 2015
- [j7]Steven Ladavich, Behnaz Ghoraani:
Rate-independent detection of atrial fibrillation by statistical modeling of atrial activity. Biomed. Signal Process. Control. 18: 274-281 (2015) - [j6]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: 527815:1-527815:10 (2015) - [c12]Supachan Traitruengsakul, Laurie E. Seltzer, Alex R. Paciorkowski, Behnaz Ghoraani:
Automatic localization of epileptic spikes in eegs of children with infantile spasms. EMBC 2015: 6194-6197 - [i1]Miguel Domínguez, Behnaz Ghoraani:
Structure-Constrained Basis Pursuit for Compressed Sensing. CoRR abs/1510.03709 (2015) - 2014
- [c11]Steven Ladavich, Behnaz Ghoraani:
Developing an atrial activity-based algorithm for detection of atrial fibrillation. EMBC 2014: 54-57 - [c10]Daniel Sinkiewicz, Lendra Friesen, Behnaz Ghoraani:
Analysis of cochlear implant artifact removal techniques using the continuous wavelet transform. EMBC 2014: 5482-5485 - [c9]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: 5498-5501 - 2013
- [j5]Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. 51(7): 811-821 (2013) - 2012
- [j4]Behnaz Ghoraani, Sridhar Krishnan:
Discriminant Non-stationary Signal Features' Clustering Using Hard and Fuzzy Cluster Labeling. EURASIP J. Adv. Signal Process. 2012: 250 (2012) - [c8]Behnaz Ghoraani, Sridhar Krishnan, Vijay S. Chauhan:
Characterization of fractionated electrograms using a novel time-frequency based algorithm. EMBC 2012: 6361-6364 - 2011
- [j3]Behnaz Ghoraani, Sridhar Krishnan:
Time-Frequency Matrix Feature Extraction and Classification of Environmental Audio Signals. IEEE Trans. Speech Audio Process. 19(7): 2197-2209 (2011) - [c7]Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan:
Audio scene analysis using parametric signal features. CCECE 2011: 922-925 - [c6]Hamid Asefi, Behnaz Ghoraani, Andy Gean Ye, Sridhar Krishnan:
Hardware-software analysis of pole model features. CCECE 2011: 1288-1291 - [c5]M. F. Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Telephone-quality pathological speech classification using empirical mode decomposition. EMBC 2011: 7095-7098 - 2010
- [j2]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) - [c4]Behnaz Ghoraani, Sridhar Krishnan:
Discriminative base decomposition for time-frequency matrix decomposition. ICASSP 2010: 3674-3677
2000 – 2009
- 2009
- [j1]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) - [c3]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: 1-5 - 2006
- [c2]Lam Le, Sridhar Krishnan, Behnaz Ghoraani:
Discrete Polynomial Transform for Digital Imagewatermarking Application. ICME 2006: 1569-1572 - [c1]Behnaz Ghoraani, Sridhar Krishnan:
Chirp-Based Image Watermarking as Error-Control Coding. IIH-MSP 2006: 647-650
Coauthor Index
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last updated on 2025-01-10 18:33 CET by the dblp team
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