14 citations · 30 across the 8 of their papers we have counts for
8 papers
Radiomics in Medical Imaging: Methods, Applications, and Challenges
Fnu Neha, Deepak kumar Shukla
Radiomics enables quantitative medical image analysis by converting imaging data into structured, high-dimensional feature representations for predictive modeling. Despite methodol…
A Tiered GAN Approach for Monet-Style Image Generation
FNU Neha, Deepshikha Bhati, Deepak Kumar Shukla +1
Generative Adversarial Networks (GANs) have proven to be a powerful tool in generating artistic images, capable of mimicking the styles of renowned painters, such as Claude Monet.…
Neural network interpretability with layer-wise relevance propagation: novel techniques for neuron selection and visualization
Deepshikha Bhati, Fnu Neha, Md Amiruzzaman +3
Interpreting complex neural networks is crucial for understanding their decision-making processes, particularly in applications where transparency and accountability are essential.…
From classical techniques to convolution-based models: A review of object detection algorithms
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla +1
Object detection is a fundamental task in computer vision and image understanding, with the goal of identifying and localizing objects of interest within an image while assigning t…
Exploring AI Text Generation, Retrieval-Augmented Generation, and Detection Technologies: a Comprehensive Overview
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla +2
The rapid development of Artificial Intelligence (AI) has led to the creation of powerful text generation models, such as large language models (LLMs), which are widely used for di…
U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities
Fnu Neha, Deepshikha Bhati, Deepak Kumar Shukla +3
Medical imaging is essential in healthcare to provide key insights into patient anatomy and pathology, aiding in diagnosis and treatment. Non-invasive techniques such as X-ray, Mag…
Analyzing the Impact of AI Tools on Student Study Habits and Academic Performance
Ben Ward, Deepshikha Bhati, Fnu Neha +1
This study explores the effectiveness of AI tools in enhancing student learning, specifically in improving study habits, time management, and feedback mechanisms. The research focu…
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation
Fnu Neha, Arvind K. Bansal
Renal tumors, especially renal cell carcinoma (RCC), show significant heterogeneity, posing challenges for diagnosis using radiology images such as MRI, echocardiograms, and CT sca…