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LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising

LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising

19 October 2023
Dayang Wang
Yongshun Xu
Shuo Han
Zhan Wu
Li Zhou
Bahareh Morovati
Hengyong Yu
    MedIm
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Papers citing "LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising"

3 / 3 papers shown
Title
Reduced Deep Convolutional Activation Features (R-DeCAF) in
  Histopathology Images to Improve the Classification Performance for Breast
  Cancer Diagnosis
Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis
Bahareh Morovati
Reza Lashgari
M. Hajihasani
Hasti Shabani
10
16
0
05 Jan 2023
SUNet: Swin Transformer UNet for Image Denoising
SUNet: Swin Transformer UNet for Image Denoising
Chi-Mao Fan
Tsung-Jung Liu
Kuan-Hsien Liu
ViT
22
111
0
28 Feb 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
1