ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2302.14277
  4. Cited By
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by
  Emphasizing Low-level Features and Decorrelating Features

DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features

28 February 2023
Jiesi Hu
Yanwu Yang
Xutao Guo
Tingxia Ma
ArXivPDFHTML

Papers citing "DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features"

10 / 10 papers shown
Title
MONAI: An open-source framework for deep learning in healthcare
MONAI: An open-source framework for deep learning in healthcare
M. Jorge Cardoso
Wenqi Li
Richard Brown
Nic Ma
E. Kerfoot
...
Klaus H. Maier-Hein
S. Aylward
Prerna Dogra
Sebastien Ourselin
Andrew Feng
121
505
0
04 Nov 2022
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Hu Cao
Yueyue Wang
Jieneng Chen
Dongsheng Jiang
Xiaopeng Zhang
Qi Tian
Manning Wang
ViT
MedIm
129
2,903
0
12 May 2021
A Weakly Supervised Consistency-based Learning Method for COVID-19
  Segmentation in CT Images
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
I. Laradji
Pau Rodríguez López
Oscar Manas
Keegan Lensink
M. Law
Lironne Kurzman
William Parker
David Vazquez
Derek Nowrouzezahrai
52
85
0
04 Jul 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan
Tao Zhou
Ge-Peng Ji
Yi Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
51
973
0
22 Apr 2020
Orthogonal Convolutional Neural Networks
Orthogonal Convolutional Neural Networks
Jiayun Wang
Yubei Chen
Rudrasis Chakraborty
Stella X. Yu
77
189
0
27 Nov 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
117
1,327
0
01 Apr 2019
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
320
5,108
0
09 Sep 2018
Attention U-Net: Learning Where to Look for the Pancreas
Attention U-Net: Learning Where to Look for the Pancreas
Ozan Oktay
Jo Schlemper
Loic Le Folgoc
M. J. Lee
M. Heinrich
...
Jingyu Sun
Nils Y. Hammerla
Bernhard Kainz
Ben Glocker
Daniel Rueckert
SSeg
159
5,049
0
11 Apr 2018
Reducing Overfitting in Deep Networks by Decorrelating Representations
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
81
414
0
19 Nov 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
595
15,882
0
12 Nov 2013
1