Saif Ur Rehman Khan
Orcid: 0000-0002-0768-5239Affiliations:
- Central South University, Changsha, Hunan, China
According to our database1,
Saif Ur Rehman Khan
authored at least 27 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images.
Biomed. Signal Process. Control., 2026
2025
Automated cervical cancer cell diagnosis via grid search-optimized multi-CNN ensemble networks.
Netw. Model. Anal. Health Informatics Bioinform., December, 2025
Robust InceptionV3 with Novel EYENET Weights for Di-EYENET Ocular Surface Imaging Dataset: Integrating Chain Foraging and Cyclone Aging Techniques.
Int. J. Comput. Intell. Syst., December, 2025
Detection of MRI brain tumor using residual skip block based modified MobileNet model.
Clust. Comput., August, 2025
FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views.
CoRR, July, 2025
Ethics by Design: A Lifecycle Framework for Trustworthy AI in Medical Imaging From Transparent Data Governance to Clinically Validated Deployment.
CoRR, July, 2025
Boost diagnostic performance in retinal disease classification utilizing deep ensemble classifiers based on OCT.
Multim. Tools Appl., June, 2025
Robust & Precise Knowledge Distillation-based Novel Context-Aware Predictor for Disease Detection in Brain and Gastrointestinal.
CoRR, May, 2025
SKINC-NET: an efficient Lightweight Deep Learning Model for Multiclass skin lesion classification in dermoscopic images.
Multim. Tools Appl., April, 2025
AI-Driven Diabetic Retinopathy Diagnosis Enhancement through Image Processing and Salp Swarm Algorithm-Optimized Ensemble Network.
CoRR, March, 2025
Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques.
Multim. Syst., February, 2025
Ensemble Architecture of Vision Transformer and CNNs for Breast Cancer Tumor Detection From Mammograms.
Int. J. Imaging Syst. Technol., 2025
Optimized deep learning model for comprehensive medical image analysis across multiple modalities.
Neurocomputing, 2025
An amalgamation of deep neural networks optimized with Salp swarm algorithm for cervical cancer detection.
Comput. Electr. Eng., 2025
Comput. Biol. Medicine, 2025
Biomed. Signal Process. Control., 2025
Brain tumor diagnosis redefined: Leveraging image fusion for MRI enhancement classification.
Biomed. Signal Process. Control., 2025
Optimizing Cervical Lesion Detection Using Deep Learning with Particle Swarm Optimization.
Proceedings of the 6th International Conference on Advancements in Computational Sciences, 2025
2024
Evolving knowledge representation learning with the dynamic asymmetric embedding model.
Evol. Syst., December, 2024
GLNET: global-local CNN's-based informed model for detection of breast cancer categories from histopathological slides.
J. Supercomput., April, 2024
Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis.
Int. J. Imaging Syst. Technol., January, 2024
MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images.
Int. J. Imaging Syst. Technol., January, 2024
Enhancing ASD classification through hybrid attention-based learning of facial features.
Signal Image Video Process., 2024
Int. J. Imaging Syst. Technol., 2024
Oral cancer detection using feature-level fusion and novel self-attention mechanisms.
Biomed. Signal Process. Control., 2024
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024
2023
IR-CNN: Inception residual network for detecting kidney abnormalities from CT images.
Netw. Model. Anal. Health Informatics Bioinform., December, 2023