DICOM Configuration Management. - Khalil ur Rehman; Ali Iqbal; David Harvey (CBMS, 2004)

SEO: A unique approach to enhance the site rank by implementing Efficient Keywords Scheme. - Khalil ur Rehman; Anaa Yasin; Tariq Mahmood 001; Muhammad Azeem 001; Saqib Ali (PeerJ Prepr., 2019)

Numerical Solution of Non-Newtonian Fluid Flow Due to Rotatory Rigid Disk. - Khalil ur Rehman; M. Y. Malik; Waqar A. Khan 001; Ilyas Khan; Sayer Obaid Alharbi (Symmetry, 2019)

A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities. - Tariq Mahmood 001; Jianqiang Li 002; Yan Pei 001; Faheem Akhtar; Azhar Imran; Khalil ur Rehman (IEEE Access, 2020)

Introducing robustness in DBR routing protocol. - Tariq Mahmood 001; Faheem Akhtar; Khalil ur Rehman; Muhammad Azeem 001; Azhar Imran Mudassir; Sher Muhammad Daudpota (Int. J. Commun. Networks Distributed Syst., 2020)

A Non-linear Model Predictive Control Based on Grey-Wolf Optimization Using Least-Square Support Vector Machine for Product Concentration Control in l-Lysine Fermentation. - Bo Wang 104; Muhammad Shahzad; Xianglin Zhu; Khalil ur Rehman; Saad Uddin (Sensors, 2020)

Modern Soft-Sensing Modeling Methods for Fermentation Processes. - Xianglin Zhu; Khalil ur Rehman; Bo Wang; Muhammad Shahzad (Sensors, 2020)

Soft Sensor Modeling Method Based on SPA-GWO-SVR for Marine Protease Fermentation Process. - Zhu Li; Khalil ur Rehman; Liu Wenhui; Faiza Atique (J. Control. Sci. Eng., 2021)

Computer Vision-Based Microcalcification Detection in Digital Mammograms Using Fully Connected Depthwise Separable Convolutional Neural Network. - Khalil ur Rehman; Jianqiang Li 002; Yan Pei 001; Anaa Yasin; Saqib Ali; Tariq Mahmood 001 (Sensors, 2021)

Data-Driven Soft Sensor Model Based on Deep Learning for Quality Prediction of Industrial Processes. - Xianglin Zhu; Khalil ur Rehman; Bo Wang; Muhammad Shahzad; Ahmad Hassan (SN Comput. Sci., 2021)

A Multi-module 3D U-Net Learning Architecture for Brain Tumor Segmentation. - Saqib Ali; Jianqiang Li 002; Yan Pei 001; Khalil ur Rehman (DMBD (2), 2022)

A review on machine learning techniques for the assessment of image grading in breast mammogram. - Khalil ur Rehman; Jianqiang Li 002; Yan Pei 001; Anaa Yasin (Int. J. Mach. Learn. Cybern., 2022)

Breast Microcalcification detection in digital mammograms using Deep Transfer learning approaches. - Ehtsham Rasool; Muhammad Junaid Anwar; Bilawal Shaker; Muhammad Harris Hashmi; Khalil ur Rehman; Yousaf Seed (ICCDE, 2023)

An improved 3D U-Net-based deep learning system for brain tumor segmentation using multi-modal MRI. - Saqib Ali; Rooha Khurram; Khalil ur Rehman; Anaa Yasin; Zeeshan Shaukat; Zareen Sakhawat; Ghulam Mujtaba (Multim. Tools Appl., 2024)

Deep learning in industrial machinery: A critical review of bearing fault classification methods. - Attiq Ur Rehman; Weidong Jiao; Yonghua Jiang 003; Jianan Wei; Muhammad Sohaib; Jianfeng Sun; Shiju E; Khalil ur Rehman; Yongwei Chi (Appl. Soft Comput., 2025)

Neural networking-based decisions on Powell-Eyring fluid flow with identical stretched porous and free stream conditions. - Khalil ur Rehman; Wasfi A. Shatanawi; Yian Yian Lok (Neural Comput. Appl., 2025)