Puzhakkal, N.[Niyas]
Co Author Listing * 3D U-Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning, A
* Computed tomography image generation from magnetic resonance imaging using Wasserstein metric for MR-only radiation therapy
* Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function
* ContourGAN: Auto-contouring of organs at risk in abdomen computed tomography images using generative adversarial network
* SABOS-Net: Self-supervised attention based network for automatic organ seg mentation of head and neck CT images