Determination of optimal number of projections and parametric sensitivity analysis of operators for parallel-ray transmission tomography using hybrid continuous genetic algorithm. - Shahzad Ahmad Qureshi; Sikander M. Mirza; Muhammad Arif 006 (Int. J. Imaging Syst. Technol., 2007)

Optimization of Projections for Parallel-Ray Transmission Tomography Using Genetic Algorithm. - Shahzad Ahmad Qureshi; Sikander M. Mirza; Muhammad Arif 006 (IMTIC, 2008)

Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction. - Shahzad Ahmad Qureshi; Sikander M. Mirza; Nasir M. Rajpoot; Muhammad Arif 006 (IEEE Trans. Image Process., 2011)

Classification and Segmentation Models for Hyperspectral Imaging - An Overview. - Syed Taimoor Hussain Shah; Shahzad Ahmad Qureshi; Aziz ul Rehman; Syed Adil Hussain Shah; Jamal Hussain (INTAP, 2020)

Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques. - Hanan Abdullah Mengash; Lal Hussain; Hany Mahgoub; A. Al-Qarafi; Mohamed K. Nour; Radwa Marzouk; Shahzad Ahmad Qureshi; Anwer Mustafa Hilal (Appl. Artif. Intell., 2022)

Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model. - Adil Aslam Mir; Fatih Vehbi Çelebi; Hadeel Alsolai; Shahzad Ahmad Qureshi; Muhammad Rafique; Jaber S. Alzahrani; Hany Mahgoub; Manar Ahmed Hamza (IEEE Access, 2022)

Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine. - Shahzad Ahmad Qureshi; Lal Hussain; Haya Mesfer Alshahrani; Syed Rahat Abbas; Mohamed K. Nour; Nayabb Fatima; Muhammad Imran Khalid; Huniya Sohail; Abdullah Mohamed; Anwer Mustafa Hilal (IEEE Access, 2022)

Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms. - Lal Hussain; Shahzad Ahmad Qureshi; Amjad Aldweesh; Jawad ur Rehman Pirzada; Faisal Mehmood Butt; Elsayed Tag-Eldin; Mushtaq Ali; Abdulmohsen Algarni; Muhammad Amin Nadim (Connect. Sci., 2022)

A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI. - Mirza Mumtaz Zahoor; Shahzad Ahmad Qureshi; Saddam Hussain Khan; Asifullah Khan (CoRR, 2022)

A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI. - Mirza Mumtaz Zahoor; Shahzad Ahmad Qureshi; Sameena Bibi; Saddam Hussain Khan; Asifullah Khan; Usman Ghafoor; Muhammad Raheel Bhutta (Sensors, 2022)

Automated facial characterization and image retrieval by convolutional neural networks. - Syed Taimoor Hussain Shah; Syed Adil Hussain Shah; Shahzad Ahmad Qureshi; Angelo di Terlizzi; Marco Agostino Deriu (Frontiers Artif. Intell., 2023)

EML-PSP: A novel ensemble machine learning-based physical security paradigm using cross-domain ultra-fused feature extraction with hybrid data augmentation scheme. - Shahzad Ahmad Qureshi; Lal Hussain; Muhammad Rafique; Huniya Sohail; Haroon Aman; Syed Rahat Abbas; Muhammad Abdul Basit; Muhammad Imran Khalid (Expert Syst. Appl., 2024)

Data-driven classification and explainable-AI in the field of lung imaging. - Syed Taimoor Hussain Shah; Syed Adil Hussain Shah; Iqra Iqbal Khan; Atif Imran; Syed Baqir Hussain Shah; Atif Mehmood; Shahzad Ahmad Qureshi; Mudassar Raza; Angelo di Terlizzi; Marco Cavaglià; Marco Agostino Deriu (Frontiers Big Data, 2024)

Breast Cancer Detection Using Mammography: Image Processing to Deep Learning. - Shahzad Ahmad Qureshi; Aziz ul Rehman; Lal Hussain; Touseef Sadiq; Syed Taimoor Hussain Shah; Adil Aslam Mir; Muhammad Amin Nadim; Darnell K. Adrian Williams; Tim Q. Duong; Qurat-Ul-Ain Chaudhary; Natasha Habib; Asrar Ahmad; et al. (IEEE Access, 2025)