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
Physics-Inspired Generative Models in Medical Imaging: A Review Dennis Hein Afshin Bozorgpour Dorit Merhof Ge Wang DiffM MedIm AI4CE 29 0 0 15 Jul 2024
SR4ZCT: Self-supervised Through-plane Resolution Enhancement for CT Images with Arbitrary Resolution and Overlap Jiayang Shi D. Pelt K. Batenburg 19 0 0 03 May 2024
Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement Linhao Qu Minghong Duan Zhiwei Yang Manning Wang Zhijian Song SupR MedIm 16 0 0 09 Apr 2023
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution Zixuan Chen Jianhuang Lai Lingxiao Yang Xiaohua Xie MedIm 19 28 0 28 Mar 2023
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images Cheng-Fang Peng S. Kevin Zhou Ramalingam Chellappa OOD 59 7 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 258 7,412 0 11 Nov 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,427 0 04 Jan 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,163 0 16 Sep 2016