Hassaan Malik
Orcid: 0000-0002-4402-5088
According to our database1,
Hassaan Malik
authored at least 13 papers
between 2020 and 2025.
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Bibliography
2025
SkinDWNet: a novel deep learning model for multiclass classification of skin cancers using dermoscopic images.
Multim. Syst., August, 2025
2024
Federated learning with deep convolutional neural networks for the detection of multiple chest diseases using chest x-rays.
Multim. Tools Appl., July, 2024
Smart road management system for prioritized autonomous vehicles under vehicle-to-everything (V2X) communication.
Multim. Tools Appl., April, 2024
Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions.
Multim. Tools Appl., 2024
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., 2024
PDCNET: Deep Convolutional Neural Network for Classification of Periodontal Disease Using Dental Radiographs.
IEEE Access, 2024
2023
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.
Sensors, October, 2023
Blockchain and Internet of Things in smart cities and drug supply management: Open issues, opportunities, and future directions.
Internet Things, October, 2023
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., April, 2023
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.
Sensors, January, 2023
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, 2023
2022
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs.
Multim. Syst., 2022
2020
A Comparison of Transfer Learning Performance Versus Health Experts in Disease Diagnosis From Medical Imaging.
IEEE Access, 2020