Neeru Rathee

Orcid: 0000-0003-2466-1180

According to our database1, Neeru Rathee authored at least 13 papers between 2015 and 2026.

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

2026
GRAFNeT: Guided Recursive Attention Fusion Network for Multimodal Medical Imaging.
IEEE Access, 2026

2025
Integrating expert guidance with gradual moment approximation (GMAp)-enhanced transfer learning for improved pancreatic cancer classification.
Neural Comput. Appl., January, 2025

Combating false negatives in pancreatic cancer: A deep learning approach for aiding fine needle aspiration via accurate subregion identification.
Eng. Appl. Artif. Intell., 2025

2024
Optifusion: advancing visual intelligence in medical imaging through optimized CNN-TQWT fusion.
Vis. Comput., October, 2024

Efficient fused convolution neural network (EFCNN) for feature level fusion of medical images.
Multim. Tools Appl., April, 2024

Novel fractal pattern based features for EEG-based emotion identification.
Biomed. Signal Process. Control., 2024

2023
Modified multidimensional scaling on EEG signals for emotion classification.
Multim. Tools Appl., July, 2023

Deep Learning Techniques for Pancreatic Cancer Analysis: A Systematic Review and Implantation Prerequisites.
Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2022
Pain detection from facial expressions using domain adaptation technique.
Pattern Anal. Appl., 2022

2018
An efficient approach for facial action unit intensity detection using distance metric learning based on cosine similarity.
Signal Image Video Process., 2018

2017
Discriminative analysis of lip features for emotion recognition.
Int. J. Comput. Vis. Robotics, 2017

2016
Multiview Distance Metric Learning on facial feature descriptors for automatic pain intensity detection.
Comput. Vis. Image Underst., 2016

2015
A novel approach for pain intensity detection based on facial feature deformations.
J. Vis. Commun. Image Represent., 2015


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