Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities. - Ahmad Naeem; Muhammad Shoaib Farooq 001; Adel Khelifi; Adnan Abid (IEEE Access, 2020)

SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images. - Ahmad Naeem; Tayyaba Anees; Makhmoor Fiza; Rizwan Ali Naqvi; Seung-Won Lee (Sensors, 2022)

DMFL_Net: A Federated Learning-Based Framework for the Classification of COVID-19 from Multiple Chest Diseases Using X-rays. - Hassaan Malik; Ahmad Naeem; Rizwan Ali Naqvi; Woong-Kee Loh (Sensors, 2023)

CDC_Net: multi-classification convolutional neural network model for detection of COVID-19, pneumothorax, pneumonia, lung Cancer, and tuberculosis using chest X-rays. - Hassaan Malik; Tayyaba Anees; Mui-Zzud-Din; Ahmad Naeem (Multim. Tools Appl., 2023)

Federated and Transfer Learning Methods for the Classification of Melanoma and Nonmelanoma Skin Cancers: A Prospective Study. - Shafia Riaz; Ahmad Naeem; Hassaan Malik; Rizwan Ali Naqvi; Woong-Kee Loh (Sensors, 2023)

Incorporating big data and IoT in intelligent ecosystems: state-of-the-arts, challenges and opportunities, and future directions. - Nimra Saeed; Hassaan Malik; Ahmad Naeem; Umair Bashir (Multim. Tools Appl., 2024)