Pournami Pulinthanathu Narayanan

Orcid: 0000-0002-8846-2044

According to our database1, Pournami Pulinthanathu Narayanan authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Prior-guided generative adversarial network for mammogram synthesis.
Biomed. Signal Process. Control., January, 2024

2023
An Improved Cuckoo Search Algorithm for Optimization of Artificial Neural Network Training.
Neural Process. Lett., December, 2023

Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function.
Int. J. Imaging Syst. Technol., September, 2023

ContourGAN: Auto-contouring of organs at risk in abdomen computed tomography images using generative adversarial network.
Int. J. Imaging Syst. Technol., September, 2023

SABOS-Net: Self-supervised attention based network for automatic organ segmentation of head and neck CT images.
Int. J. Imaging Syst. Technol., January, 2023

Deep Cleaner - A Few Shot Image Dataset Cleaner Using Supervised Contrastive Learning.
IEEE Access, 2023

2022
DeepNR: An adaptive deep reinforcement learning based NoC routing algorithm.
Microprocess. Microsystems, April, 2022

Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR-only radiation therapy.
Int. J. Imaging Syst. Technol., 2022

Cervix type detection using a self-supervision boosted object detection technique.
Int. J. Imaging Syst. Technol., 2022

CT Image Synthesis from MR Image Using Edge-Aware Generative Adversarial Network.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2019
AyurLeaf: A Deep Learning Approach for Classification of Medicinal Plants.
Proceedings of the TENCON 2019, 2019

Image Registration Using Single Swarm PSO with Refined Search Space Exploration.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

2018
Bi-Histogram Equalization with Adaptive Multi-Plateau Limits for Enhancing Magnetic Resonance Images.
Proceedings of the 2018 International Conference on Advances in Computing, 2018


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