Muhammad Usman Ghani Khan

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	Tutte	Dal 2019
Citazioni	4673	4362
Indice H	35	31
i10-index	95	91

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Prof. Tanzila Saba, IEEE Senior Memb...Full Professor,Prince Sultan University|Leader of Artificial Intelligence & Data Analytics Lab, KSAEmail verificata su psu.edu.sa
Amjad Rehman, PhD, IEEE Senior Me...Prince Sultan University , Riyadh Saudi ArabiaEmail verificata su psu.edu.sa
Waqar MahmoodUniversity of Engineering and Technology LahoreEmail verificata su kics.edu.pk
Muhammad Nabeel AsimGerman Research Center for Artificial IntelligenceEmail verificata su dfki.de
S. IqbalKing Faisal University, KSAEmail verificata su kfu.edu.sa
Razi IqbalCentral Michigan University, MI, USAEmail verificata su ieee.org
Dr. Muhammad WasimAssistant Professor, University of Management and Technology, LahoreEmail verificata su skt.umt.edu.pk
Yoshihiko GotohUniversity of SheffieldEmail verificata su sheffield.ac.uk
Farheen RamzanDepartment of Computer Science, University of Sheffield, UKEmail verificata su sheffield.ac.uk
A. DilawariUHE, Lahore, PakistanEmail verificata su kics.edu.pk
Summra SaleemGerman Research Centre for Artificial Intelligence (DFKI))Email verificata su dfki.de
Saira JabeenResearch Officer,Al-Khawarizmi Institute of Computer Science (KICS) , UET LahoreEmail verificata su kics.edu.pk
Gulraiz KhanResearch Officer in UET, LahoreEmail verificata su kics.edu.pk
Dr. Fareed AhmadI.T Manager University of Veterinary and Animal ScienceEmail verificata su uvas.edu.pk
Andreas DengelProfessor of Computer Science, University of Kaiserslautern & Executive Director, DFKIEmail verificata su dfki.de
Javeria KhanAl-khawarizmi Institute of Computer Science (KICS), UET LahoreEmail verificata su kics.edu.pk
Dr. Muhammad IdreesAssociate Professor & Chairman, Computer Science and Engineering Department, UET LHR, NWLEmail verificata su uet.edu.pk
Irfan MehmoodUniversity of BradfordEmail verificata su bradford.ac.uk
M. Junaid ArshadDepartment of Computer Science, University of Engineering and Technology (UET)Email verificata su uet.edu.pk
Muhammad Ahmed HassanUet LahoreEmail verificata su kics.edu.pk

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Muhammad Usman Ghani Khan

Professor of Computer Science, University of Engineering & Technology, Lahore

Email verificata su kics.edu.pk - Home page

Computer vision image processing natural language processing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	416	2020
A survey of ontology learning techniques and applications MN Asim, M Wasim, MUG Khan, W Mahmood, HM Abbasi Database 2018, bay101, 2018	313	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	277	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	165	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	149	2019
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	140	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	134	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	133	2017
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	109	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	105	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	87	2019
Numerical analysis of unsteady 3D flow of Carreau nanofluid with variable thermal conductivity and heat source/sink M Irfan, M Khan, WA Khan Results in physics 7, 3315-3324, 2017	86	2017
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	79	2020
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	78	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	72	2019
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	70	2019
Deep ensemble model for classification of novel coronavirus in chest X‐ray images F Ahmad, A Farooq, MU Ghani Computational intelligence and neuroscience 2021 (1), 8890226, 2021	69	2021
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	65	2021
Application of intelligent agents in health-care S Iqbal, W Altaf, M Aslam, W Mahmood, MUG Khan Artificial Intelligence Review 46, 83-112, 2016	65	2016
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning A Alorf, MUG Khan Computers in Biology and Medicine 151, 106240, 2022	62	2022

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