A residual dense vision transformer for medical image super-resolution
with segmentation-based perceptual loss fine-tuning

A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning

22 February 2023

Guang Yang

Papers citing "A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning"

5 / 5 papers shown

Title
EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements Xin Xu Jin-Hui Park Paul Fieguth SupR 17 0 0 20 Dec 2023
SUNet: Swin Transformer UNet for Image Denoising Chi-Mao Fan Tsung-Jung Liu Kuan-Hsien Liu ViT 22 111 0 28 Feb 2022
ReconFormer: Accelerated MRI Reconstruction Using Recurrent Transformer Pengfei Guo Yiqun Mei Jinyuan Zhou Shanshan Jiang Vishal M. Patel ViT MedIm 70 61 0 23 Jan 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 275 10,544 0 19 Feb 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 242 35,884 0 25 Aug 2016