Niyas Puzhakkal

According to our database, Niyas Puzhakkal authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2024

A 3D U-Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning.

Lekshmy P. Chandran, Abdul Nazeer Kochannan Parampil Abdul Rahiman, Niyas Puzhakkal, Dinesh Makuni

Int. J. Imaging Syst. Technol., January, 2024

2023

Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function.

Jiffy Joseph, Aparajit Singh, Pournami Pulinthanathu Narayanan, Jayaraj Pottekkattuvalappil Balakrishnan, Niyas Puzhakkal

Int. J. Imaging Syst. Technol., September, 2023

ContourGAN: Auto-contouring of organs at risk in abdomen computed tomography images using generative adversarial network.

Seenia Francis, P. B. Jayaraj, P. N. Pournami, Niyas Puzhakkal

Int. J. Imaging Syst. Technol., September, 2023

MemU-Net: A new volumetric dose prediction model using deep learning techniques in radiation treatment planning.

Lekshmy P. Chandran, Abdul Nazeer K. A., Niyas Puzhakkal, Dinesh Makuny

Biomed. Signal Process. Control., August, 2023

SABOS-Net: Self-supervised attention based network for automatic organ segmentation of head and neck CT images.

Seenia Francis, Goutham Pooloth, Sai Bala Subrahmanyam Singam, Niyas Puzhakkal, Pournami Pulinthanathu Narayanan, Jayaraj Pottekkattuvalappil Balakrishnan

Int. J. Imaging Syst. Technol., January, 2023

SART-Res-UNet: Fan Beam CT Image Reconstruction from Limited Projections using attention-enabled residual U-Net.

Harika Jinka, Jyothsna Shaji, Sangeeth John, Sreeraj R. Menon, Amalu Pradeep, P. B. Jayaraj, Pournami P. N, Niyas Puzhakkal

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR-only radiation therapy.

Jiffy Joseph, Challa Hemanth, Pournami Pulinthanathu Narayanan, Jayaraj Pottekkattuvalappil Balakrishnan, Niyas Puzhakkal

Int. J. Imaging Syst. Technol., 2022

CT Image Synthesis from MR Image Using Edge-Aware Generative Adversarial Network.

Jiffy Joseph, Rita Prasanth, Sebin Abraham Maret, P. N. Pournami, P. B. Jayaraj, Niyas Puzhakkal

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022