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ORCIDHassaan Malik
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2020 – today
- 2024
[j12]Anas Bilal
, Ali Haider Khan, Khalid Almohammadi, Sami A. Al Ghamdi, Haixia Long, Hassaan Malik:
PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs. IEEE Access 12: 150147-150168 (2024)- [j11]Muhammad Adnan Hasnain, Hassaan Malik, Muhammad Mujtaba Asad, Fahad Sherwani:
Deep learning architectures in dental diagnostics: a systematic comparison of techniques for accurate prediction of dental disease through x-ray imaging. Int. J. Intell. Comput. Cybern. 17(1): 161-180 (2024) - [j10]Nimra Saeed, Hassaan Malik, Ahmad Naeem, Umair Bashir:
Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions. Multim. Tools Appl. 83(7): 20699-20741 (2024) - [j9]Awad Bin Naeem, Abdul Majid Soomro, Hafiz Muhamad Saim, Hassaan Malik:
Smart road management system for prioritized autonomous vehicles under vehicle-to-everything (V2X) communication. Multim. Tools Appl. 83(14): 41637-41654 (2024) - [j8]Hassaan Malik, Tayyaba Anees:
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays. Multim. Tools Appl. 83(23): 63017-63045 (2024) - 2023
- [j7]Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, Radomír Gono, Michal Jasiñski, Zbigniew Leonowicz, Petr Bernat:
A Novel Fusion Model of Hand-Crafted Features With Deep Convolutional Neural Networks for Classification of Several Chest Diseases Using X-Ray Images. IEEE Access 11: 39243-39268 (2023) - [j6]Hassaan Malik, Tayyaba Anees, Muhammad Faheem, Muhammad Umar Chaudhry, Aatka Ali, Muhammad Nabeel Asghar:
Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions. Internet Things 23: 100860 (2023) - [j5]Hassaan Malik, Tayyaba Anees, Mui-Zzud-Din, Ahmad Naeem:
CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays. Multim. Tools Appl. 82(9): 13855-13880 (2023) - [j4]Hassaan Malik, Ahmad Naeem, Rizwan Ali Naqvi, Woong-Kee Loh:
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays. Sensors 23(2): 743 (2023) - [j3]Shafia Riaz, Ahmad Naeem, Hassaan Malik, Rizwan Ali Naqvi, Woong-Kee Loh:
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study. Sensors 23(20): 8457 (2023) - 2022
- [j2]Hassaan Malik, Tayyaba Anees, Mui-Zzud-Din:
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs. Multim. Syst. 28(3): 815-829 (2022) - 2020
- [j1]Hassaan Malik, Muhammad Shoaib Farooq, Adel Khelifi, Adnan Abid, Junaid Nasir Qureshi, Muzammil Hussain:
A Comparison of Transfer Learning Performance Versus Health Experts in Disease Diagnosis From Medical Imaging. IEEE Access 8: 139367-139386 (2020)
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