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ORCIDVahid Abolghasemi
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2020 – today
- 2024
[j39]Reza Bazghandi
, Mohammad Hoseintabar Marzebali, Vahid Abolghasemi:
Enhanced Multi-Synchro-Squeezing Transform for Fault Diagnosis in Induction Machine Based on Third-Order Energy Operator of Stator Current Signature. IEEE Access 12: 41056-41065 (2024)- [j38]Amirreza Fateh, Reza Tahmasbi Birgani, Mansoor Fateh, Vahid Abolghasemi:
Advancing Multilingual Handwritten Numeral Recognition With Attention-Driven Transfer Learning. IEEE Access 12: 41381-41395 (2024) - [j37]Sadjad Rezvani, Fatemeh Soleymani Siahkar, Yasin Rezvani, Abdorreza Alavi Gharahbagh, Vahid Abolghasemi:
Single Image Denoising via a New Lightweight Learning-Based Model. IEEE Access 12: 121077-121092 (2024) - [j36]Mehrasa Modanlou Jouybari, Alireza Tajary, Mansoor Fateh, Vahid Abolghasemi:
A novel deep neural network structure for software fault prediction. PeerJ Comput. Sci. 10: e2270 (2024) - [j35]Saeed Hajnayeb, Mohammad Hoseintabar Marzebali, Vahid Abolghasemi, Jawad Faiz:
Broken Rotor Bar Fault Detection of Induction Machine Based on Rectified Orthogonal Axes of Stator Current. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c22]Mohammad Amin Jarrahi, Eirina Bourtsoulatze, Vahid Abolghasemi:
Rate-Adaptive Joint Source Channel Coding Using Deep Block-Based Compressed Sensing. MMSP 2024: 1-6 - [c21]Mohammad Amin Jarrahi, Eirina Bourtsoulatze, Vahid Abolghasemi:
DCS-JSCC: Leveraging Deep Compressed Sensing into JSCC for Wireless Image Transmission. SPAWC 2024: 96-100 - [c20]Mohammad Amin Jarrahi, Eirina Bourtsoulatze, Vahid Abolghasemi:
Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method. WCNC 2024: 1-6 - [i4]Mohammad Amin Jarrahi, Eirina Bourtsoulatze, Vahid Abolghasemi:
Joint Source-Channel Coding for Wireless Image Transmission: A Deep Compressed-Sensing Based Method. CoRR abs/2402.07162 (2024) - [i3]Atitaya Phoemsuk, Vahid Abolghasemi:
Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network. CoRR abs/2406.16895 (2024) - 2022
- [j34]Mohammad Reza Qasemian Reyhan Abadi, Mohammad Hoseintabar Marzebali, Vahid Abolghasemi, Mohammad Hossein Anisi:
High-Voltage Pulse Generators for Electroporation Applications: A Systematic Review. IEEE Access 10: 64933-64951 (2022) - [j33]Rasoul Ameri, Ali Alameer, Saideh Ferdowsi, Kianoush Nazarpour, Vahid Abolghasemi:
Labeled projective dictionary pair learning: application to handwritten numbers recognition. Inf. Sci. 609: 489-506 (2022) - [j32]Chiako Mokri, Mahdi Bamdad, Vahid Abolghasemi:
Muscle force estimation from lower limb EMG signals using novel optimised machine learning techniques. Medical Biol. Eng. Comput. 60(3): 683-699 (2022) - [j31]Sumit Kumar Singh, Vahid Abolghasemi, Mohammad Hossein Anisi:
Skin Cancer Diagnosis Based on Neutrosophic Features with a Deep Neural Network. Sensors 22(16): 6261 (2022) - [j30]Vahid Abolghasemi, Mohammad Hoseintabar Marzebali, Saideh Ferdowsi:
Recursive Singular Spectrum Analysis for Induction Machines Unbalanced Rotor Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j29]Mohammad Hoseintabar Marzebali, Reza Bazghandi, Vahid Abolghasemi:
Rotor Asymmetries Faults Detection in Induction Machines Under the Impacts of Low-Frequency Load Torque Oscillation. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c19]Hamidreza Ghonchi, Saideh Ferdowsi, Vahid Abolghasemi:
Common Spatial Pattern with Deep Learning for Fetal Heart Rate Monitoring. SiPS 2022: 1-6 - 2021
- [j28]Aboozar Ghaffari, Mahdi Kafaee, Vahid Abolghasemi:
Smooth non-negative sparse representation for face and handwritten recognition. Appl. Soft Comput. 111: 107723 (2021) - [j27]Amirreza Fateh, Mansoor Fateh, Vahid Abolghasemi:
Multilingual handwritten numeral recognition using a robust deep network joint with transfer learning. Inf. Sci. 581: 479-494 (2021) - [j26]Yeganeh Jalali, Mansoor Fateh, Mohsen Rezvani, Vahid Abolghasemi, Mohammad Hossein Anisi:
ResBCDU-Net: A Deep Learning Framework for Lung CT Image Segmentation. Sensors 21(1): 268 (2021) - 2020
- [j25]Marziye Rahmati, Mansoor Fateh, Mohsen Rezvani, Alireza Tajary, Vahid Abolghasemi:
Printed Persian OCR system using deep learning. IET Image Process. 14(15): 3920-3931 (2020) - [j24]Hamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani:
Deep recurrent-convolutional neural network for classification of simultaneous EEG-fNIRS signals. IET Signal Process. 14(3): 142-153 (2020) - [c18]Saideh Ferdowsi, Dimitri Ognibene, Tom Foulsham, Vahid Abolghasemi, Wen Li, Luca Citi:
Human Chemosignals Modulate Interactions Between Social and Emotional Brain Areas. BIBE 2020: 513-518 - [c17]Hamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, Saideh Ferdowsi, Mohsen Rezvani:
Spatio-temporal deep learning for EEG-fNIRS brain computer interface. EMBC 2020: 124-127 - [i2]Rasool Ameri, Saideh Ferdowsi, Ali Alameer, Vahid Abolghasemi, Kianoush Nazarpour:
Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning. CoRR abs/2003.11700 (2020)
2010 – 2019
- 2019
- [j23]Taiebeh Askari Javaran, Hamid Hassanpour, Vahid Abolghasemi:
Blind motion image deblurring using an effective blur kernel prior. Multim. Tools Appl. 78(16): 22555-22574 (2019) - [j22]Mahmood Amiri, Alireza Ahmadyfard, Vahid Abolghasemi:
A fast video super resolution for facial image. Signal Process. Image Commun. 70: 259-270 (2019) - 2018
- [j21]Mokhtar Mohammadi, Ali Akbar Pouyan, Nabeel Ali Khan, Vahid Abolghasemi:
Locally Optimized Adaptive Directional Time-Frequency Distributions. Circuits Syst. Signal Process. 37(8): 3154-3174 (2018) - [j20]Saideh Ferdowsi, Vahid Abolghasemi:
Multi layer spectral decomposition technique for ERD estimation in EEG μ rhythms: An EEG-fMRI study. Neurocomputing 275: 1836-1845 (2018) - [j19]Saideh Ferdowsi, Vahid Abolghasemi:
Simultaneous BOLD detection and incomplete fMRI data reconstruction. Medical Biol. Eng. Comput. 56(4): 599-610 (2018) - [j18]Mokhtar Mohammadi, Ali Akbar Pouyan, Nabeel Ali Khan, Vahid Abolghasemi:
An improved design of adaptive directional time-frequency distributions based on the Radon transform. Signal Process. 150: 85-89 (2018) - [j17]Vahid Abolghasemi, Mingyang Chen, Ali Alameer, Saideh Ferdowsi, Jonathon A. Chambers, Kianoush Nazarpour:
Incoherent Dictionary Pair Learning: Application to a Novel Open-Source Database of Chinese Numbers. IEEE Signal Process. Lett. 25(4): 472-476 (2018) - [j16]Saideh Ferdowsi, Vahid Abolghasemi:
Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy Quantification. IEEE Trans. Biomed. Eng. 65(8): 1717-1724 (2018) - 2017
- [j15]Taiebeh Askari Javaran, Hamid Hassanpour, Vahid Abolghasemi:
Non-blind image deconvolution using a regularization based on re-blurring process. Comput. Vis. Image Underst. 154: 16-34 (2017) - [j14]Taiebeh Askari Javaran, Hamid Hassanpour, Vahid Abolghasemi:
Local motion deblurring using an effective image prior based on both the first- and second-order gradients. Mach. Vis. Appl. 28(3-4): 431-444 (2017) - [j13]Mohammad Amir Nazari Siahsar, Saman Gholtashi, Vahid Abolghasemi, Yangkang Chen:
Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning. Signal Process. 141: 309-321 (2017) - [j12]Taiebeh Askari Javaran, Hamid Hassanpour, Vahid Abolghasemi:
Automatic estimation and segmentation of partial blur in natural images. Vis. Comput. 33(2): 151-161 (2017) - 2016
- [j11]Rasool Ameri, Ali Pouyan, Vahid Abolghasemi:
Projective dictionary pair learning for EEG signal classification in brain computer interface applications. Neurocomputing 218: 382-389 (2016) - [j10]Taiebeh Askari Javaran, Hamid Hassanpour, Vahid Abolghasemi:
A noise-immune no-reference metric for estimating blurriness value of an image. Signal Process. Image Commun. 47: 218-228 (2016) - 2015
- [j9]Vahid Abolghasemi, Saideh Ferdowsi:
EEG-fMRI: Dictionary learning for removal of ballistocardiogram artifact from EEG. Biomed. Signal Process. Control. 18: 186-194 (2015) - [j8]Vahid Abolghasemi, Hao Shen, Yaochun Shen, Lu Gan:
Subsampled terahertz data reconstruction based on spatio-temporal dictionary learning. Digit. Signal Process. 43: 1-7 (2015) - [j7]Saideh Ferdowsi, Saeid Sanei, Vahid Abolghasemi:
A Predictive Modeling Approach to Analyze Data in EEG-fMRI Experiments. Int. J. Neural Syst. 25(1): 1440008:1-1440008:15 (2015) - [j6]Vahid Abolghasemi, Saideh Ferdowsi, Saeid Sanei:
Fast and incoherent dictionary learning algorithms with application to fMRI. Signal Image Video Process. 9(1): 147-158 (2015) - [i1]Vahid Abolghasemi, Hao Shen, Yaochun Shen, Lu Gan:
Subsampled terahertz data reconstruction based on spatio-temporal dictionary learning. CoRR abs/1506.04912 (2015) - 2013
- [j5]Saideh Ferdowsi, Saeid Sanei, Vahid Abolghasemi, Judith Nottage, Owen G. O'Daly:
Removing Ballistocardiogram Artifact From EEG Using Short- and Long-Term Linear Predictor. IEEE Trans. Biomed. Eng. 60(7): 1900-1911 (2013) - [c16]Saideh Ferdowsi, Vahid Abolghasemi, Saeid Sanei:
EEG-FMRI integration using a partially constrained tensor factorization. ICASSP 2013: 6191-6195 - 2012
- [j4]Vahid Abolghasemi, Saideh Ferdowsi, Saeid Sanei:
A gradient-based alternating minimization approach for optimization of the measurement matrix in compressive sensing. Signal Process. 92(4): 999-1009 (2012) - [j3]Saeid Sanei, Tracey Kah-Mein Lee, Vahid Abolghasemi:
A New Adaptive Line Enhancer Based on Singular Spectrum Analysis. IEEE Trans. Biomed. Eng. 59(2): 428-434 (2012) - [j2]Vahid Abolghasemi, Saideh Ferdowsi, Saeid Sanei:
Blind Separation of Image Sources via Adaptive Dictionary Learning. IEEE Trans. Image Process. 21(6): 2921-2930 (2012) - [c15]Saideh Ferdowsi, Saeid Sanei, Judith Nottage, Owen G. O'Daly, Vahid Abolghasemi:
A hybrid ICA-Hermite transform for removal of Ballistocardiogram from EEG. EUSIPCO 2012: 484-488 - [c14]Vahid Abolghasemi, Saideh Ferdowsi, Bahador Makkiabadi, Saeid Sanei:
Adaptive fusion of dictionary learning and multichannel BSS. ICASSP 2012: 2421-2424 - [c13]Saideh Ferdowsi, Vahid Abolghasemi, Saeid Sanei:
Blind separation of ballistocardiogram from EEG via short-and-long-term linear prediction filtering. MLSP 2012: 1-6 - 2011
- [c12]Saideh Ferdowsi, Vahid Abolghasemi, Bahador Makkiabadi, Saeid Sanei:
A new spatially constrained NMF with application to fMRI. EMBC 2011: 5052-5055 - [c11]Saideh Ferdowsi, Vahid Abolghasemi, Saeid Sanei:
A comparative study of α-Divergence based NMF techniques for FMRI analysis. EUSIPCO 2011: 71-75 - [c10]Bahador Makkiabadi, Delaram Jarchi, Vahid Abolghasemi, Saeid Sanei:
A geometrically constrained multimodal time domain approach for convolutive blind source separation. EUSIPCO 2011: 1864-1868 - 2010
- [c9]Vahid Abolghasemi, Delaram Jarchi, Saeid Sanei:
A robust approach for optimization of the measurement matrix in Compressed Sensing. CIP 2010: 388-392 - [c8]Vahid Abolghasemi, Saideh Ferdowsi, Bahador Makkiabadi, Saeid Sanei:
On optimization of the measurement matrix for compressive sensing. EUSIPCO 2010: 427-431
2000 – 2009
- 2009
- [j1]Vahid Abolghasemi, Alireza Ahmadyfard:
An edge-based color-aided method for license plate detection. Image Vis. Comput. 27(8): 1134-1142 (2009) - [c7]Delaram Jarchi, Vahid Abolghasemi, Saeid Sanei:
Source localization of brain rhythms by empirical mode decomposition and spatial notch filtering. EUSIPCO 2009: 627-631 - [c6]Foad Ghaderi, Saeid Sanei, Bahador Makkiabadi, Vahid Abolghasemi, John G. McWhirter:
Heart and lung sound separation using periodic source extraction method. DPS 2009: 1-6 - [c5]Saeid Sanei, Anh Huy Phan, Jen-Lung Lo, Vahid Abolghasemi, Andrzej Cichocki:
A compressive sensing approach for progressive transmission of images. DPS 2009: 1-5 - 2007
- [c4]Vahid Abolghasemi, Hossein Marvi:
Modified CELP coder using root cepstrum. EUSIPCO 2007: 1382-1386 - [c3]Vahid Abolghasemi, Alireza Ahmadyfard:
Local enhancement of car image for license plate detection. EUSIPCO 2007: 2179-2183 - [c2]Vahid Abolghasemi, Alireza Ahmadyfard:
Improved Image Enhancement Method for License Plate Detection. DSP 2007: 435-438 - [c1]Vahid Abolghasemi, Alireza Ahmadyfard:
A Fast Algorithm for License Plate Detection. VISUAL 2007: 468-477
Coauthor Index
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last updated on 2024-12-03 21:22 CET by the dblp team
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