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ORCIDGhulam Gilanie
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2020 – today
- 2025
[j16]Sajid Naveed
, Mujtaba Husnain, Ali Samad, Amna Ikram, Hina Afreen, Ghulam Gilanie, Najah M. Alsubaie:
Drug Efficacy Recommendation System of Glioblastoma (GBM) Using Deep Learning. IEEE Access 13: 10398-10411 (2025)- [j15]Syeda Naila Batool, Jing Yang, Ghulam Gilanie, Akkasha Latif, Shumaila Yasin, Amna Ikram, Lip Yee Por:
Forensic Radiology: A robust approach to biological profile estimation from bone image analysis using deep learning. Biomed. Signal Process. Control. 105: 107661 (2025) - 2024
- [j14]Muhammad Sajid Rashid, Ghulam Gilanie, Saira Naveed, Sana Cheema, Muhammad Sajid:
Automated detection and classification of psoriasis types using deep neural networks from dermatology images. Signal Image Video Process. 18(1): 163-172 (2024) - 2023
- [j13]Hafiz Aamir Hafeez, Mohamed A. Elmagzoub, Nurul Azma Binti Abdullah, Mana Saleh Al Reshan, Ghulam Gilanie, Sultan Alyami, Mahmood Ul Hassan, Asadullah Shaikh:
A CNN-Model to Classify Low-Grade and High-Grade Glioma From MRI Images. IEEE Access 11: 46283-46296 (2023) - [j12]Saira Asghar, Ghulam Gilanie, Mubbashar Saddique, Hafeez Ullah, Heba G. Mohamed, Irshad Ahmed Abbasi, Mohamed Abbas:
Water Classification Using Convolutional Neural Network. IEEE Access 11: 78601-78612 (2023) - [j11]Humaira Shafiq, Ghulam Gilanie, Muhammad Sajid, Muhammad Ahsan:
Dental radiology: a convolutional neural network-based approach to detect dental disorders from dental images in a real-time environment. Multim. Syst. 29(6): 3179-3191 (2023) - [j10]Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Muhammad Waqas Anwar, Hafeez Ullah:
An automated and risk free WHO grading of glioma from MRI images using CNN. Multim. Tools Appl. 82(2): 2857-2869 (2023) - 2022
- [j9]Muhammad Javaid Iqbal, Usama Ijaz Bajwa, Ghulam Gilanie, Muhammad Aksam Iftikhar, Muhammad Waqas Anwar:
Automatic brain tumor segmentation from magnetic resonance images using superpixel-based approach. Multim. Tools Appl. 81(27): 38409-38427 (2022) - [c4]Ghulam Gilanie, Nasira Rehman, Usama Ijaz Bajwa, Sabiha Sharif, Hafeez Ullah, Muhammad Faheem Mushtaq:
FERNet: A Convolutional Neural Networks Based Robust Model to Recognize Human Facial Expressions. SCDM 2022: 353-360 - [c3]Erum Wazir, Ghulam Gilanie, Nasira Rehman, Hafeez Ullah, Muhammad Faheem Mushtaq:
Early Stage Detection of Cardiac Related Diseases by Using Artificial Neural Network. SCDM 2022: 361-370 - [c2]Syeda Fiza Rubab, Muhammad Faheem Mushtaq, Muhammad Hussain Tahir, Amna, Ali Samad, Ghulam Gilanie, Muhammad Ghulam Ghouse:
The Comparative Performance of Machine Learning Models for COVID-19 Sentiment Analysis. SCDM 2022: 371-379 - [c1]Arslan Abdul Ghaffar, Muhammad Faheem Mushtaq, Amna, Urooj Akram, Ali Samad, Ghulam Gilanie, Muhammad Ghulam Ghouse:
Refined Sentiment Analysis by Ensembling Technique of Stacking Classifier. SCDM 2022: 380-389 - 2021
- [j8]Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Mutyyba Asghar, Rehana Kousar, Adnan Kashif, Rabab Shereen Aslam, Muhammad Mohsin Qasim, Hamza Rafique:
Coronavirus (COVID-19) detection from chest radiology images using convolutional neural networks. Biomed. Signal Process. Control. 66: 102490 (2021) - [j7]Ghulam Gilanie, Nimra Nasir, Usama Ijaz Bajwa, Hafeez Ullah:
RiceNet: convolutional neural networks-based model to classify Pakistani grown rice seed types. Multim. Syst. 27(5): 867-875 (2021) - [j6]Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Muhammad Waqas Anwar:
Risk-free WHO grading of astrocytoma using convolutional neural networks from MRI images. Multim. Tools Appl. 80(3): 4295-4306 (2021) - [j5]Maimoona Rafiq, Usama Ijaz Bajwa, Ghulam Gilanie, Muhammad Waqas Anwar:
Reconstruction of scene using corneal reflection. Multim. Tools Appl. 80(14): 21363-21379 (2021)
2010 – 2019
- 2019
- [j4]Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Zulfiqar Habib:
Computer aided diagnosis of brain abnormalities using texture analysis of MRI images. Int. J. Imaging Syst. Technol. 29(3): 260-271 (2019) - [j3]Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Zulfiqar Habib:
Automated and reliable brain radiology with texture analysis of magnetic resonance imaging and cross datasets validation. Int. J. Imaging Syst. Technol. 29(4): 531-538 (2019) - 2018
- [j2]Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Zulfiqar Habib, Hafeez Ullah, Muhammad Nasir:
Classification of normal and abnormal brain MRI slices using Gabor texture and support vector machines. Signal Image Video Process. 12(3): 479-487 (2018) - 2013
- [j1]Ghulam Gilanie, Muhammad Attique, Hafeez Ullah, Shahid Naweed, Ejaz Ahmed, Masroor Ikram:
Object extraction from T2 weighted brain MR image using histogram based gradient calculation. Pattern Recognit. Lett. 34(12): 1356-1363 (2013)
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