Afnaan K

Orcid: 0009-0009-5870-1444

According to our database1, Afnaan K authored at least 10 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Boosting brain tumor detection with an optimized ResNet and explainability via Grad-CAM and LIME.
Brain Informatics, December, 2025

A Hybrid Deep Learning Framework for Image Deblurring and Colorization Using CNNs and GANs.
Proceedings of the Computational Intelligence in Data Science, 2025

Advanced Multi-class Brain Tumor Segmentation Using Deep Learning Architectures.
Proceedings of the Computational Intelligence in Data Science, 2025

Deep Learning-Based Comparative Analysis for Endometriosis Classification.
Proceedings of the Computational Intelligence in Data Science, 2025

2024
Comparative Analysis for Feature Extraction and Prediction of CKD Using Machine Learning.
J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2024

Hybrid Deep Learning Framework for Bidirectional Medical Image Synthesis.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing Brain MRI Images: Using DC GAN And WGAN For Image Augmentation.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
VisioRenalNet: Spatial Vision Transformer UNet for enhanced T2-Weighted Kidney MRI Segmentation.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Machine Learning-based Prediction of Postoperative Survival in Lung Cancer Patients.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Optimization Study of Renal CT Image Classification Using Convolution Neural Networks.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023


  Loading...