VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data

16 October 2020

Papers citing "VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data"

5 / 5 papers shown

Title
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning Jin Zhu Guang Yang Pietro Lio ViT MedIm 32 5 0 22 Feb 2023
HIPA: Hierarchical Patch Transformer for Single Image Super Resolution Qing Cai Yiming Qian Jinxing Li Junjie Lv Yee-Hong Yang Feng Wu Dafan Zhang 25 28 0 19 Mar 2022
Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer Yinao Li Yutaro Iwamoto R. Nakamura Lanfen Lin Ruofeng Tong Yen-Wei Chen 3DPC 21 0 0 08 Mar 2022
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 300 10,225 0 16 Nov 2016
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 225 5,176 0 16 Sep 2016