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 51 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
FedVC-ADDiM: a federated learning framework for diagnosis of alzheimer disease using deep learning.
Multim. Syst., June, 2026
SegGuidedNet: Sub-Region-Aware Attention Supervision for Interpretable Brain Tumor Segmentation.
CoRR, May, 2026
SolarFCD: A Large-Scale Dataset and Benchmark for Solar Fault Classification in Photovoltaic Systems.
CoRR, April, 2026
MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering.
CoRR, April, 2026
Advancing food safety: deep learning for accurate detection of bacterial contaminants.
Memetic Comput., March, 2026
Correction: Towards efficient dam inspection: crack detection via chirplet transform feature and a pruned VGG16 architecture.
Memetic Comput., March, 2026
Towards efficient dam inspection: crack detection via chirplet transform feature and a pruned VGG16 architecture.
Memetic Comput., March, 2026
Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach.
CoRR, March, 2026
Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging.
CoRR, March, 2026
StructDamage:A Large Scale Unified Crack and Surface Defect Dataset for Robust Structural Damage Detection.
CoRR, March, 2026
GlobalWasteData: A Large-Scale, Integrated Dataset for Robust Waste Classification and Environmental Monitoring.
CoRR, February, 2026
V2X-JEPA: Self-Supervised Multiagent Joint Embedding Predictive Architecture for Robust Vehicle-to-Everything Perception.
IEEE Internet Things J., 2026
Neurocomputing, 2026
MeD-3D: A multimodal deep learning framework for precise recurrence prediction in clear cell renal cell carcinoma (ccRCC).
Expert Syst. Appl., 2026
ShallowMRI: A novel lightweight CNN with novel attention mechanism for Multi brain tumor classification in MRI images.
Biomed. Signal Process. Control., 2026
Temperature-driven robust disease detection in brain and gastrointestinal disorders via context-aware adaptive knowledge distillation.
Biomed. Signal Process. Control., 2026
2025
AI-powered cancer diagnosis: classifying viable (live) vs non-viable (dead) cells using transfer learning.
Signal Image Video Process., December, 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
Boosting Machine Learning Accuracy for Cardiac Disease Prediction: The Role of Advanced Feature Engineering and Model Optimization.
Rev. Socionetwork Strateg., October, 2025
Dynamic Weight Adjustment for Knowledge Distillation: Leveraging Vision Transformer for High-Accuracy Lung Cancer Detection and Real-Time Deployment.
CoRR, October, 2025
Lead-cnn: lightweight enhanced dimension reduction convolutional neural network for brain tumor classification.
Int. J. Mach. Learn. Cybern., September, 2025
Int. J. Mach. Learn. Cybern., September, 2025
FloraSyntropy-Net: Scalable Deep Learning with Novel FloraSyntropy Archive for Large-Scale Plant Disease Diagnosis.
CoRR, August, 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
DynaKG: Dynamic Knowledge Graph Attention With Learnable Temporal Decay for Recommendation.
IEEE Access, 2025
Omni-V2X: A Vision-Language Model for Actionable Insights in Vehicle-to-Everything Systems.
Proceedings of the International Joint Conference on Neural Networks, 2025
KDLight: A Lightweight Knowledge Distillation Framework for Medical Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2025
Towards Efficient Pruning and Multi-Scale Feature Transformations to Uncover Medical Diseases.
Proceedings of the International Joint Conference on Neural Networks, 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
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