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2020 – today
- 2022
[j8]Paria Jeihouni, Omid Dehzangi
, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
MultiSDGAN: Translation of OCT Images to Superresolved Segmentation Labels Using Multi-Discriminators in Multi-Stages. IEEE J. Biomed. Health Informatics 26(4): 1614-1627 (2022)- [c43]Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Dabouei, Ali Rezai, Nasser M. Nasrabadi:
Superresolution and Segmentation of OCT Scans Using Multi-Stage Adversarial Guided Attention Training. ICASSP 2022: 1106-1110 - [c42]Omid Dehzangi, Paria Jeihouni, Jad Ramadan, Victor S. Finomore, Nasser M. Nasrabadi, Ali Rezai:
Ubiquitous Physiological Prediction of SUD Patients' Wellness State Using Memory-Based Convolutional Models. ICASSP 2022: 1131-1135 - [i3]Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Dabouei, Ali Rezai, Nasser M. Nasrabadi:
Superresolution and Segmentation of OCT scans using Multi-Stage adversarial Guided Attention Training. CoRR abs/2206.05277 (2022) - [i2]Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
GAN-based Super-Resolution and Segmentation of Retinal Layers in Optical coherence tomography Scans. CoRR abs/2206.13740 (2022) - 2021
- [c41]Paria Jeihouni, Omid Dehzangi, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Gan-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans. ICIP 2021: 46-50 - [c40]Omid Dehzangi, Paria Jeihouni, Victor S. Finomore, Ali Rezai:
Physiological Monitoring Of Front-Line Caregivers For Cv-19 Symptoms: Multi-Resolution Analysis & Convolutional-Recurrent Networks. ICIP 2021: 250-254 - 2020
- [c39]Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Efficient Oct Image Segmentation Using Neural Architecture Search. ICIP 2020: 428-432 - [c38]Omid Dehzangi, Arash Shokouhmand, Paria Jeihouni, Jad Ramadan, Victor S. Finomore, Nasser M. Nasrabadi, Ali Rezai:
XGBoost to Interpret the Opioid Patients' State Based on Cognitive and Physiological Measures. ICPR 2020: 6391-6395 - [c37]Omid Dehzangi, Saba Heidari Gheshlaghi, Annahita Amireskandari, Nasser M. Nasrabadi, Ali Rezai:
OCT Image Segmentation Using Neural Architecture Search and SRGAN. ICPR 2020: 6425-6430 - [i1]Saba Heidari Gheshlaghi, Omid Dehzangi, Ali Dabouei, Annahita Amireskandari, Ali Rezai, Nasser M. Nasrabadi:
Efficient OCT Image Segmentation Using Neural Architecture Search. CoRR abs/2007.14790 (2020)
2010 – 2019
- 2019
- [p7]Shantanu V. Deshmukh, Omid Dehzangi:
Characterization and Identification of Driver Distraction During Naturalistic Driving: An Analysis of ECG Dynamics. Advances in Body Area Networks I 2019: 1-13 - [p6]Omid Dehzangi, Vikas Rajendra:
Wearable Galvanic Skin Response for Characterization and Identification of Distraction During Naturalistic Driving. Advances in Body Area Networks I 2019: 15-27 - [p5]Omid Dehzangi, Alexander Melville, Mojtaba Taherisadr:
Automatic EEG Blink Detection Using Dynamic Time Warping Score Clustering. Advances in Body Area Networks I 2019: 49-60 - [p4]Mojtaba Taherisadr, Omid Dehzangi:
EEG-Based Driver Distraction Detection via Game-Theoretic-Based Channel Selection. Advances in Body Area Networks I 2019: 93-105 - [p3]Omid Dehzangi, Mojtaba Taherisadr:
EEG Based Driver Inattention Identification via Feature Profiling and Dimensionality Reduction. Advances in Body Area Networks I 2019: 107-121 - [p2]Omid Dehzangi, Bhavani Anantapur Bache, Omar Iftikhar, Jeffrey Wensman, Ying Li:
Context-Aware Sensor Solution for Remote Monitoring of Adolescent Idiopathic Scoliosis Brace Treatment. Advances in Body Area Networks I 2019: 123-138 - [p1]Omid Dehzangi, Mojtaba Taherisadr, Raghvendar ChangalVala, Priyanka Asnani:
Motion-Based Gait Identification Using Spectro-temporal Transform and Convolutional Neural Networks. Advances in Body Area Networks I 2019: 407-421 - 2018
- [j7]Omid Dehzangi, Vikas Rajendra, Mojtaba Taherisadr:
Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses. Sensors 18(2): 503 (2018) - [c36]Omid Dehzangi, Muhamed Farooq:
SSVEP recognition using discriminative score fusion and transformation for portable brain computer interface. BHI 2018: 1-4 - [c35]Omid Dehzangi, Muhamed Farooq:
Wearable Brain Computer Interface (BCI) to assist communication in the Intensive Care Unit (ICU). ICCE 2018: 1-4 - [c34]Omid Dehzangi, Omar Iftikhar, Bhavani Anantapur Bache, Jeffrey Wensman, Ying Li:
Force and activity monitoring system for scoliosis patients wearing back braces. ICCE 2018: 1-4 - [c33]Omid Dehzangi, Vaishali Sahu:
IMU-Based Robust Human Activity Recognition using Feature Analysis, Extraction, and Reduction. ICPR 2018: 1402-1407 - [c32]Omid Dehzangi, Mojtaba Taherisadr:
Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks. ICPR 2018: 1481-1486 - [c31]Omid Dehzangi, Bhavani Anantapur Bache, Omar Iftikhar:
Activity Detection using Fusion of Multi-Pressure Sensors in Insoles. ICPR 2018: 3315-3321 - [c30]Omid Dehzangi, Selvamani Masilamani:
Unobtrusive Driver Drowsiness Prediction Using Driving Behavior from Vehicular Sensors. ICPR 2018: 3598-3603 - [c29]Omid Dehzangi, Vaishali Sahu, Mojtaba Taherisadr, Scott Galster:
Multi-modal system to detect on-the-road driver distraction. ITSC 2018: 2191-2196 - 2017
- [j6]Omid Dehzangi, Mojtaba Taherisadr, Raghvendar ChangalVala:
IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion. Sensors 17(12): 2735 (2017) - [j5]Mojtaba Taherisadr, Omid Dehzangi, Hossein Parsaei:
Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis. Sensors 17(12): 2895 (2017) - [c28]Shantanu V. Deshmukh, Omid Dehzangi:
Identification of real-time driver distraction using optimal subBand detection powered by Wavelet Packet Transform. BSN 2017: 9-12 - [c27]Vikas Rajendra, Omid Dehzangi:
Detection of distraction under naturalistic driving using Galvanic Skin Responses. BSN 2017: 157-160 - [c26]Muhamed Farooq, Omid Dehzangi:
High accuracy wearable SSVEP detection using feature profiling and dimensionality reduction. BSN 2017: 161-164 - [c25]Omid Dehzangi, Muhamed Farooq:
Subject-Dependent SSVEP Identification Using GMM Training and Adaptation. ICMLA 2017: 384-389 - [c24]Bhavani Anantapur Bache, Omar Iftikhar, Omid Dehzangi:
Brace Treatment Monitoring Solution for Idiopathic Scoliosis Patients. ICMLA 2017: 580-585 - [c23]Shantanu V. Deshmukh, Omid Dehzangi:
ECG-Based Driver Distraction Identification Using Wavelet Packet Transform and Discriminative Kernel-Based Features. SMARTCOMP 2017: 1-7 - 2016
- [c22]Vahid Alizadeh, Omid Dehzangi:
The impact of secondary tasks on drivers during naturalistic driving: Analysis of EEG dynamics. ITSC 2016: 2493-2499 - 2015
- [c21]Omid Dehzangi, Cayce Williams:
Towards multi-modal wearable driver monitoring: Impact of road condition on driver distraction. BSN 2015: 1-6 - [c20]Omid Dehzangi, Cayce Williams:
Multi-Modal Biological Driver Monitoring via Ubiquitous Wearable Body Sensor Network. Digital Health 2015: 65-70 - [c19]Omid Dehzangi, Roozbeh Jafari:
Time-varying and simultaneous frequency stimulation for multi-class SSVEP-based brain-computer interface. EMBC 2015: 1757-1760 - 2014
- [c18]Roozbeh Jafari, Omid Dehzangi, Chengzhi Zong, Viswam Nathan:
BCIBench: a benchmarking suite for EEG-based brain computer interface. ODES@CGO 2014: 19-24 - [c17]Omid Dehzangi, Viswam Nathan, Chengzhi Zong, Chang W. Lee, Insoo Kim, Roozbeh Jafari:
A novel stimulation for multi-class SSVEP-based brain-computer interface using patterns of time-varying frequencies. EMBC 2014: 118-121 - [c16]Yuan Zou, Omid Dehzangi, Viswam Nathan, Roozbeh Jafari:
Automatic removal of EEG artifacts using electrode-scalp impedance. ICASSP 2014: 2054-2058 - 2013
- [c15]Yuan Zou, Omid Dehzangi, Roozbeh Jafari:
Score-based adaptive training for P300 speller Brain-Computer Interface. ICASSP 2013: 1143-1147 - [c14]Omid Dehzangi, Zheng Zhao, Mohammad-Mahdi Bidmeshki, John Biggan, Christopher Ray, Roozbeh Jafari:
The impact of vibrotactile biofeedback on the excessive walking sway and the postural control in elderly. Wireless Health 2013: 3:1-3:7 - [c13]Viswam Nathan, Jian Wu, Chengzhi Zong, Yuan Zou, Omid Dehzangi, Mary Reagor, Roozbeh Jafari:
A 16-channel bluetooth enabled wearable EEG platform with dry-contact electrodes for brain computer interface. Wireless Health 2013: 17:1-17:2 - 2012
- [j4]Omid Dehzangi, Bin Ma, Engsiong Chng, Haizhou Li:
Discriminative feature extraction for speech recognition using continuous output codes. Pattern Recognit. Lett. 33(13): 1703-1709 (2012) - [c12]Ali Ahmadi, Omid Dehzangi, Roozbeh Jafari:
Brain-Computer Interface Signal Processing Algorithms: A Computational Cost vs. Accuracy Analysis for Wearable Computers. BSN 2012: 40-45 - 2011
- [j3]Omid Dehzangi, Bin Ma, Engsiong Chng, Haizhou Li:
Error Corrective Fusion of Classifier Scores for Spoken Language Recognition. IEICE Trans. Inf. Syst. 94-D(12): 2503-2512 (2011) - 2010
- [j2]Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi:
Using Random Forest for Protein Fold Prediction Problem: An Empirical Study. J. Inf. Sci. Eng. 26(6): 1941-1956 (2010) - [c11]Omid Dehzangi, Bin Ma, Engsiong Chng, Haizhou Li:
Error corrective classifier fusion for spoken Language Recognition. ICASSP 2010: 1994-1997 - [c10]Omid Dehzangi, Bin Ma, Engsiong Chng, Haizhou Li:
Framewise Phone Classification Using Weighted Fuzzy Classification Rules. ICPR 2010: 4186-4189 - [c9]Omid Dehzangi, Bin Ma, Engsiong Chng, Haizhou Li:
A discriminative performance metric for GMM-UBM speaker identification. INTERSPEECH 2010: 2114-2117
2000 – 2009
- 2009
- [j1]Abdollah Dehzangi, Somnuk Phon-Amnuaisuk, Omid Dehzangi:
Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers. Aust. J. Intell. Inf. Process. Syst. 10(4) (2009) - [c8]Omid Dehzangi, Ehsan Younessian, Fariborz Hosseini Fard:
Inducing Cooperation in Fuzzy Classification Rules using Iterative Rule Learning and Rule-weighting. ICINCO-ICSO 2009: 62-67 - [c7]Omid Dehzangi, Ehsan Younessian, Fariborz Hosseini Fard:
An Adaptive Classifier Design for Accurate Speech Data Classification. ICINCO-RA 2009: 67-71 - [c6]Omid Dehzangi, Bin Ma, Engsiong Chng, Haizhou Li:
Discriminative feature transformation using output coding for speech recognition. INTERSPEECH 2009: 2979-2982 - 2008
- [c5]Omid Dehzangi, Bin Ma, Chng Eng Siong, Haizhou Li:
Fuzzy rule selection using Iterative Rule Learning for speech data classification. ICPR 2008: 1-4 - [c4]Omid Dehzangi, Bin Ma, Chng Eng Siong, Haizhou Li:
Discriminative Output Coding Features for Speech Recognition. ISCSLP 2008: 89-92 - 2007
- [c3]Omid Dehzangi, Mansoor J. Zolghadri, Shahram Taheri, Abdollah Dehzangi:
An Efficient Nearest Neighbor Classifier Using an Adaptive Distance Measure. CAIP 2007: 970-978 - [c2]Omid Dehzangi, Mansoor J. Zolghadri, Shahram Taheri, Seyed Mostafa Fakhrahmad:
Efficient Fuzzy Rule Generation: A New Approach Using Data Mining Principles and Rule Weighting. FSKD (2) 2007: 134-139 - [c1]Omid Dehzangi, Mansoor Zolghadri Jahromi, Shahram Taheri:
High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface. PRIB 2007: 378-390
Coauthor Index
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last updated on 2024-09-20 00:38 CEST by the dblp team
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