RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

13 June 2022

Papers citing "RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans"

8 / 8 papers shown

Title
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images Cheng-Fang Peng S. Kevin Zhou Ramalingam Chellappa OOD 103 8 0 11 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 475 7,819 0 11 Nov 2021
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Peng Sun Luc Van Gool Radu Timofte ViT 195 2,945 0 23 Aug 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 305 2,528 0 04 Jan 2021
Pre-Trained Image Processing Transformer Hanting Chen Yunhe Wang Tianyu Guo Chang Xu Yiping Deng Zhenhua Liu Siwei Ma Chunjing Xu Chao Xu Wen Gao VLM ViT 143 1,677 0 01 Dec 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 180 641 0 02 Aug 2020
Cross-Scale Internal Graph Neural Network for Image Super-Resolution Shangchen Zhou Jiawei Zhang W. Zuo Chen Change Loy SupR 60 216 0 30 Jun 2020
Deep Learning for Image Super-resolution: A Survey Zhihao Wang Jian Chen Guosheng Lin SupR 84 1,439 0 16 Feb 2019