Παρακολούθηση
Muhammad Usman Ghani Khan
Muhammad Usman Ghani Khan
Professor of Computer Science, University of Engineering & Technology, Lahore
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα kics.edu.pk - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
3412020
A survey of ontology learning techniques and applications
MN Asim, M Wasim, MUG Khan, W Mahmood, HM Abbasi
Database 2018, bay101, 2018
2732018
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
2542018
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
1452019
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
1362019
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
1302017
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
1272018
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
1232019
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
1032018
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
952019
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
732019
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
692020
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
672019
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
662020
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
622021
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
582019
Application of intelligent agents in health-care
S Iqbal, W Altaf, M Aslam, W Mahmood, MUG Khan
Artificial Intelligence Review 46, 83-112, 2016
562016
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
552021
ASoVS: abstractive summarization of video sequences
A Dilawari, MUG Khan
IEEE Access 7, 29253-29263, 2019
442019
AN AUTOMATIC LEAF BASED PLANT IDENTIFICATION SYSTEM.
N Ahmed, UG Khan, S Asif
Science International 28 (1), 2016
442016
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