Bayesian Classification Using DCT Features for Brain Tumor Detection. - Qurat Ul Ain; Irfan Mehmood; Syed Muhammad Naqi; M. Arfan Jaffar (KES (1), 2010)

Multistage segmentation model and SVM-ensemble for precise lung nodule detection. - Syed Muhammad Naqi; Muhammad Sharif 001; Mussarat Yasmin (Int. J. Comput. Assist. Radiol. Surg., 2018)

A 3D nodule candidate detection method supported by hybrid features to reduce false positives in lung nodule detection. - Syed Muhammad Naqi; Muhammad Sharif 001; Muhammad Ikram Ullah Lali (Multim. Tools Appl., 2019)

Lung nodule detection and classification based on geometric fit in parametric form and deep learning. - Syed Muhammad Naqi; Muhammad Sharif 001; M. Arfan Jaffar (Neural Comput. Appl., 2020)

COVID-19 Prediction Infrastructure Using Deep Learning. - Zahra Abbas; Mario Fiorino; Syed Muhammad Naqi; Musarat Abbas (Intelligent Environments (Workshops), 2023)

VBQ-Net: A Novel Vectorization-Based Boost Quantized Network Model for Maximizing the Security Level of IoT System to Prevent Intrusions. - Ganeshkumar Perumal 001; Gopalakrishnan Subburayalu; Qaisar Abbas; Syed Muhammad Naqi; Imran Qureshi (Syst., 2023)

A deep learning approach for multi-stage classification of brain tumor through magnetic resonance images. - Sahar Gull; Shahzad Akbar; Syed Muhammad Naqi (Int. J. Imaging Syst. Technol., 2023)

DLTN-LOSP: A Novel Deep-Linear-Transition-Network-Based Resource Allocation Model with the Logic Overhead Security Protocol for Cloud Systems. - Divya Ramachandran; Syed Muhammad Naqi; Ganeshkumar Perumal 001; Qaisar Abbas (Sensors, 2023)

EmotionNet-X: An Optimized CNN Architecture for Robust Facial Emotion Analysis. - Syed Muhammad Aqleem Abbas; Qaisar Abbas; Syed Muhammad Naqi (IEEE Access, 2025)