Muhammad Usman Ghani Khan
Muhammad Usman Ghani Khan
Professor of Computer Science, University of Engineering & Technology, Lahore
Verified email at - Homepage
Cited by
Cited by
A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks
F Ramzan, MUG Khan, A Rehmat, S Iqbal, T Saba, A Rehman, ...
Journal of medical systems 44, 1-16, 2020
A survey of ontology learning techniques and applications
MN Asim, M Wasim, MUG Khan, W Mahmood, HM Abbasi
Database 2018, bay101, 2018
Brain tumor segmentation in multi‐spectral MRI using convolutional neural networks (CNN)
S Iqbal, MU Ghani, T Saba, A Rehman
Microscopy research and technique 81 (4), 419-427, 2018
Deep unified model for face recognition based on convolution neural network and edge computing
MZ Khan, S Harous, SU Hassan, MUG Khan, R Iqbal, S Mumtaz
IEEE Access 7, 72622-72633, 2019
Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation
S Iqbal, MU Ghani Khan, T Saba, Z Mehmood, N Javaid, A Rehman, ...
Microscopy research and technique 82 (8), 1302-1315, 2019
Technologies and challenges in developing Machine-to-Machine applications: A survey
UG Anum Ali, Ghalib Shah, Omer Farooq
Journal of Network and Computer Applications 83, 124-139, 2017
Computer-assisted brain tumor type discrimination using magnetic resonance imaging features
S Iqbal, MUG Khan, T Saba, A Rehman
Biomedical Engineering Letters 8 (1), 5-28, 2018
Soft computing-based EEG classification by optimal feature selection and neural networks
MH Bhatti, J Khan, MUG Khan, R Iqbal, M Aloqaily, Y Jararweh, B Gupta
IEEE Transactions on Industrial Informatics 15 (10), 5747-5754, 2019
Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM
HM Fahad, MU Ghani Khan, T Saba, A Rehman, S Iqbal
Microscopy research and technique 81 (5), 449-457, 2018
Feature enhancement framework for brain tumor segmentation and classification
B Tahir, S Iqbal, M Usman Ghani Khan, T Saba, Z Mehmood, A Anjum, ...
Microscopy research and technique 82 (6), 803-811, 2019
The use of ontology in retrieval: a study on textual, multilingual, and multimedia retrieval
MN Asim, M Wasim, MUG Khan, N Mahmood, W Mahmood
IEEE Access 7, 21662-21686, 2019
Volumetric segmentation of brain regions from MRI scans using 3D convolutional neural networks
F Ramzan, MUG Khan, S Iqbal, T Saba, A Rehman
IEEE Access 8, 103697-103709, 2020
Multiclass EEG motor-imagery classification with sub-band common spatial patterns
J Khan, MH Bhatti, UG Khan, R Iqbal
EURASIP Journal on Wireless Communications and Networking 2019, 1-9, 2019
A realistic image generation of face from text description using the fully trained generative adversarial networks
MZ Khan, S Jabeen, MUG Khan, T Saba, A Rehmat, A Rehman, U Tariq
IEEE Access 9, 1250-1260, 2020
Deep ensemble model for classification of novel coronavirus in chest X-ray images
F Ahmad, A Farooq, MU Ghani
Computational intelligence and neuroscience 2021, 2021
Comparison of classification models for early prediction of breast cancer
MU Ghani, TM Alam, FH Jaskani
2019 International Conference on Innovative Computing (ICIC), 1-6, 2019
Application of intelligent agents in health-care
S Iqbal, W Altaf, M Aslam, W Mahmood, MUG Khan
Artificial Intelligence Review 46, 83-112, 2016
GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification
MA Ibrahim, MUG Khan, F Mehmood, MN Asim, W Mahmood
Journal of biomedical informatics 116, 103699, 2021
N Ahmed, UG Khan, S Asif
Science International 28 (1), 2016
Human focused video description
MUG Khan, L Zhang, Y Gotoh
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
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