Recognizing apple leaf diseases using a novel parallel real-time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture. - Zia ur Rehman 004; Muhammad Attique Khan; Fawad Ahmed; Robertas Damasevicius; Syed Rameez Naqvi; Muhammad Wasif Nisar; Kashif Javed (IET Image Process., 2021)

Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques. - Ejaz Khan; Muhammad Zia Ur Rehman 001; Fawad Ahmed; Faisal Abdulaziz Alfouzan; Nouf M. Alzahrani; Jawad Ahmad 001 (Sensors, 2022)

Classification of Skin Cancer Lesions Using Explainable Deep Learning. - Muhammad Zia Ur Rehman 001; Fawad Ahmed; Suliman A. Alsuhibany; Sajjad Shaukat Jamal; Muhammad Zulfiqar Ali; Jawad Ahmad 001 (Sensors, 2022)

An Automated Classification Technique for COVID-19 Using Optimized Deep Learning Features. - Ejaz Khan; Muhammad Zia Ur Rehman 001; Fawad Ahmed; Suliman A. Alsuhibany; Muhammad Zulfiqar Ali; Jawad Ahmad 001 (Comput. Syst. Sci. Eng., 2023)

An Efficient Automated Technique for Classification of Breast Cancer Using Deep Ensemble Model. - Muhammad Zia Ur Rehman 001; Jawad Ahmad 001; Emad Sami Jaha; Abdullah Marish Ali; Mohammed A. Alzain; Faisal Saeed (Comput. Syst. Sci. Eng., 2023)

Multimodal Land Use Classification: Harnessing HSI and LiDAR Integration. - Muhammad Zia Ur Rehman 001; Syed Mohammed Shamsul Islam; Anwaar Ulhaq; Naeem Janjua; David Blake (DICTA, 2024)

Towards Robust Multimodal Land Use Classification: A Convolutional Embedded Transformer. - Muhammad Zia Ur Rehman 001; Syed Mohammed Shamsul Islam; Anwaar Ulhaq; David Blake; Naeem Janjua (VISIGRAPP (3): VISAPP, 2025)

Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery. - Muhammad Zia Ur Rehman 001; Syed Mohammed Shamsul Islam; Anwaar Ul-Haq; David Blake; Naeem Janjua (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Deep learning for land use classification: a systematic review of HS-LiDAR imagery. - Muhammad Zia Ur Rehman 001; Syed Mohammed Shamsul Islam; David Blake; Anwaar Ulhaq; Naeem Janjua (Artif. Intell. Rev., 2025)