Fnu Neha

According to our database, Fnu Neha authored at least 10 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

From classical techniques to convolution-based models: A review of object detection algorithms.

Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla, Md. Amiruzzaman

Proceedings of the 6th IEEE International Conference on Image Processing, 2025

2024

A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging.

Deepshikha Bhati, Fnu Neha, Md. Amiruzzaman

J. Imaging, 2024

Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization.

Deepshikha Bhati, Fnu Neha, Md. Amiruzzaman, Angela Guercio, Deepak Kumar Shukla, Ben Ward

CoRR, 2024

Exploring AI Text Generation, Retrieval-Augmented Generation, and Detection Technologies: a Comprehensive Overview.

Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla, Angela Guercio, Ben Ward

CoRR, 2024

U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities.

Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla, Sonavi Makarand Dalvi, Nikolaos Mantzou, Safa Shubbar

CoRR, 2024

Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance.

Ben Ward, Deepshikha Bhati, Fnu Neha, Angela Guercio

CoRR, 2024

Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation.

Fnu Neha, Arvind K. Bansal

CoRR, 2024

Convnext-PCA: A Parameter-Efficient Model for Accurate Kidney Abnormality Classification.

Fnu Neha, Arvind K. Bansal

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

An Enhanced Deep Learning Model for the Finer Subclassification of T1a Small Renal Masses.

Fnu Neha, Arvind K. Bansal

Proceedings of 2024 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2024

A Tiered GAN Approach for Monet-Style Image Generation.

Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla, Md. Amiruzzaman

Proceedings of the 34th International Conference on Computer Theory and Applications, 2024