IR-CNN: Inception residual network for detecting kidney abnormalities from CT images. - Sohaib Asif; Qurrat Ul Ain; Muhammad Awais; Saif Ur Rehman Khan 002 (Netw. Model. Anal. Health Informatics Bioinform., 2023)

Boosting the Prediction of Brain Tumor Using Two Stage BiGait Architecture. - Saif Ur Rehman Khan 002; Zia Khan; Md. Zakir Hossain; Nicanor Mayumu; Farhana Yasmin; Younas Aziz (DICTA, 2024)

Oral cancer detection using feature-level fusion and novel self-attention mechanisms. - Saif Ur Rehman Khan 002; Sohaib Asif (Biomed. Signal Process. Control., 2024)

Deep hybrid model for Mpox disease diagnosis from skin lesion images. - Saif Ur Rehman Khan 002; Sohaib Asif; Omair Bilal; Sajid Ali (Int. J. Imaging Syst. Technol., 2024)

Enhancing ASD classification through hybrid attention-based learning of facial features. - Inzamam Shahzad; Saif Ur Rehman Khan 002; Waseem Abbas; Zain U. I. Abideen; Jin Liu (Signal Image Video Process., 2024)

MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images. - Sohaib Asif; Saif Ur Rehman Khan 002; Xiaolong Zheng; Ming Zhao 007 (Int. J. Imaging Syst. Technol., 2024)

Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis. - Saif Ur Rehman Khan 002; Ming Zhao 007; Sohaib Asif; Xuehan Chen (Int. J. Imaging Syst. Technol., 2024)

GLNET: global-local CNN's-based informed model for detection of breast cancer categories from histopathological slides. - Saif Ur Rehman Khan 002; Ming Zhao 007; Sohaib Asif; Xuehan Chen; Yusen Zhu (J. Supercomput., 2024)

Evolving knowledge representation learning with the dynamic asymmetric embedding model. - Muhib A. Khan; Saif Ur Rehman Khan 002; Syed Zohair Quain Haider; Shakeeb A. Khan; Omair Bilal (Evol. Syst., 2024)

Optimizing Cervical Lesion Detection Using Deep Learning with Particle Swarm Optimization. - Zia Khan; Saif Ur Rehman Khan 002; Omair Bilal; Asif Raza; Ghazanfar Ali (ICACS, 2025)

Brain tumor diagnosis redefined: Leveraging image fusion for MRI enhancement classification. - Arash Hekmat; Zuping Zhang; Saif Ur Rehman Khan 002; Omair Bilal (Biomed. Signal Process. Control., 2025)

An attention-fused architecture for brain tumor diagnosis. - Arash Hekmat; Zuping Zhang; Saif Ur Rehman Khan 002; Ifza Shad; Omair Bilal (Biomed. Signal Process. Control., 2025)

Multi-level feature fusion network for kidney disease detection. - Saif Ur Rehman Khan 002 (Comput. Biol. Medicine, 2025)

An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection. - Omair Bilal; Sohaib Asif; Ming Zhao 007; Saif Ur Rehman Khan 002; Yangfan Li (Comput. Electr. Eng., 2025)

Optimized deep learning model for comprehensive medical image analysis across multiple modalities. - Saif Ur Rehman Khan 002; Sohaib Asif; Ming Zhao 007; Wei Zou; Yangfan Li; Xiangmin Li (Neurocomputing, 2025)

Ensemble Architecture of Vision Transformer and CNNs for Breast Cancer Tumor Detection From Mammograms. - Saif Ur Rehman Khan 002; Sohaib Asif; Omair Bilal (Int. J. Imaging Syst. Technol., 2025)

Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques. - Saif Ur Rehman Khan 002; Sohaib Asif; Ming Zhao 007; Wei Zou; Yangfan Li (Multim. Syst., 2025)

AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network. - Saif Ur Rehman Khan 002; Muhammad Nabeel Asim; Sebastian J. Vollmer; Andreas Dengel 001 (CoRR, 2025)

SKINC-NET: an efficient Lightweight Deep Learning Model for Multiclass skin lesion classification in dermoscopic images. - Sohaib Asif; Qurrat Ul Ain; Saif Ur Rehman Khan 002; Kamran Amjad; Muhammad Awais (Multim. Tools Appl., 2025)

Robust & Precise Knowledge Distillation-based Novel Context-Aware Predictor for Disease Detection in Brain and Gastrointestinal. - Saif Ur Rehman Khan 002; Muhammad Nabeel Asim; Sebastian J. Vollmer; Andreas Dengel 001 (CoRR, 2025)

Boost diagnostic performance in retinal disease classification utilizing deep ensemble classifiers based on OCT. - Umer Sadiq Khan; Saif Ur Rehman Khan 002 (Multim. Tools Appl., 2025)

Ethics by Design: A Lifecycle Framework for Trustworthy AI in Medical Imaging From Transparent Data Governance to Clinically Validated Deployment. - Umer Sadiq Khan; Saif Ur Rehman Khan 002 (CoRR, 2025)

FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views. - Saif Ur Rehman Khan 002; Muhammad Nabeel Asim; Sebastian J. Vollmer; Andreas Dengel 001 (CoRR, 2025)

Detection of MRI brain tumor using residual skip block based modified MobileNet model. - Saif Ur Rehman Khan 002; Ming Zhao 007; Yangfan Li (Clust. Comput., 2025)

Robust InceptionV3 with Novel EYENET Weights for Di-EYENET Ocular Surface Imaging Dataset: Integrating Chain Foraging and Cyclone Aging Techniques. - Muhammad Ahmad Khan; Saif Ur Rehman Khan 002; Hafeez Ur Rehman; Suliman Aladhadh; Ding Lin (Int. J. Comput. Intell. Syst., 2025)

Automated cervical cancer cell diagnosis via grid search-optimized multi-CNN ensemble networks. - Omair Bilal; Arash Hekmat; Saif Ur Rehman Khan 002 (Netw. Model. Anal. Health Informatics Bioinform., 2025)

ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images. - Saif Ur Rehman Khan 002; Sohaib Asif; Ming Zhao 007; Wei Zou; Yangfan Li; Chenggen Xiao (Biomed. Signal Process. Control., 2026)