DR. RAHEEL ZAFAR
DR. RAHEEL ZAFAR
Verifierad e-postadress på numl.edu.pk
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Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion
R Zafar, SC Dass, AS Malik
PloS one 12 (5), e0178410, 2017
182017
Decoding of visual information from human brain activity: A review of fMRI and EEG studies
R Zafar, AS Malik, N Kamel, SC Dass, JM Abdullah, F Reza, ...
Journal of integrative neuroscience 14 (02), 155-168, 2015
152015
Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network
R Zafar, N Kamel, M Naufal, AS Malik, SC Dass, RF Ahmad, JM Abdullah, ...
Journal of integrative neuroscience 16 (3), 275-289, 2017
112017
EEG spectral analysis during complex cognitive task at occipital
R Zafar, AS Malik, HU Amin, N Kamel, S Dass, RF Ahmad
2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 907-910, 2014
102014
Discriminating the different human brain states with EEG signals using Fractal dimension: A nonlinear approach
RF Ahmad, AS Malik, N Kamel, H Amin, R Zafar, A Qayyum, F Reza
2014 IEEE International Conference on Smart Instrumentation, Measurement and …, 2014
102014
Prediction of human brain activity using likelihood ratio based score fusion
R Zafar, SC Dass, AS Malik, N Kamel, MJU Rehman, RF Ahmad, ...
IEEE access 5, 13010-13019, 2017
62017
Role of voxel selection and ROI in fMRI data analysis
R Zafar, AS Malik, N Kamel, SC Dass
2016 IEEE International Symposium on Medical Measurements and Applications …, 2016
52016
A study of decoding human brain activities from simultaneous data of EEG and fMRI using MVPA
R Zafar, N Kamel, M Naufal, AS Malik, SC Dass, RF Ahmad, JM Abdullah, ...
Australasian physical & engineering sciences in medicine 41 (3), 633-645, 2018
22018
Importance of realignment parameters in fMRI data analysis
R Zafar, AS Malik, N Kamel, SC Dass
2015 IEEE International Conference on Signal and Image Processing …, 2015
22015
Automatic eye blink artifact removal for EEG based on a sparse coding technique for assessing major mental disorders
R Zafar, A Qayyum, W Mumtaz
Journal of integrative neuroscience 18 (3), 217-229, 2019
12019
Modalities for decoding human brain activity
R Zafar, A Ullah
Cyber-Enabled Intelligence 231, 2019
12019
Classification of fMRI data using support vector machine and convolutional neural network
R Zafar
IEEE International Conference on Signal and Image Processing Applications …, 2017
12017
Discrimination of brain states using wavelet and power spectral density
R Zafar, AS Malik, HU Amin, N Kamel, SC Dass
International Conference on Neural Information Processing, 341-347, 2015
12015
A new approach for error minimization of piezoelectric sensor output variations using fuzzy logic
RF Ahmad, AS Malik, H Amin, N Kamel, R Zafar, A Qayyum
2014 IEEE International Conference on Control System, Computing and …, 2014
12014
Challenges for sustainable smart city development: A conceptual framework
HH Khan, MN Malik, R Zafar, FA Goni, AG Chofreh, JJ Klemeš, Y Alotaibi
Sustainable Development 28 (5), 1507-1518, 2020
2020
Decoding Brain Patterns for Colored and Grayscale Images using Multivariate Pattern Analysis
R. Zafar, M. N. Malik, H. Hayat, A. S. Malik
KSII Transactions on Internet and Information Systems 14 (4), 1543-1561, 2020
2020
Multiple trials in event related fMRI for different conditions
R Zafar
IEEE International Conference on Signal and Image Processing Applications …, 2017
2017
fMRI based brain state analysis of visual activities
R Zafar, AS Malik, N Kamel, SC Dass
2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES), 46-49, 2015
2015
for September and October 2016. To start with, I would like to share the experience of the main event of the 2nd APNA conference which was held at Sunway Hotel, Georgetown in …
K Kang, AS Malik, HU Amin, R Zafar, IN Nordin, U Aamir, J Neo, NN Suffi
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Artiklar 1–19