Hassaan Malik
Lahore, PB, Pakistan
Last Updated: 09/26/2026
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Found 12 publications
Genetic analysis of key players in PI3K signaling cascade of colorectal carcinoma.
Journal: Scientific reports
Published: November 20, 2025
ODDM: Integration of SMOTE Tomek with Deep Learning on Imbalanced Color Fundus Images for Classification of Several Ocular Diseases.
Journal: Journal of imaging
Published: July 21, 2025
RETRACTED: Multi-modal deep learning methods for classification of chest diseases using different medical imaging and cough sounds.
Journal: PloS one
Published: September 16, 2023
Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study.
Journal: Sensors (Basel, Switzerland)
Published: August 04, 2023
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images.
Deep Learning-Based Classification of Chest Diseases Using X-rays, CT Scans, and Cough Sound Images.
Journal: Diagnostics (Basel, Switzerland)
Published: July 31, 2023
Blockchain-Federated and Deep-Learning-Based Ensembling of Capsule Network with Incremental Extreme Learning Machines for Classification of COVID-19 Using CT Scans.
Journal: Bioengineering (Basel, Switzerland)
Published: January 16, 2023
DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays.
Journal: Sensors (Basel, Switzerland)
Published: November 29, 2022
CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays.
Journal: Multimedia tools and applications
Published: January 17, 2022
Blockchain technology in healthcare: A systematic review.
Journal: PloS one
Published: November 08, 2021
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs.
Journal: Multimedia systems
Published: May 16, 2021
Showing 1-12 of 12
Last Updated: 09/26/2026