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. 2103.00780
  4. Cited By
Towards Unbiased COVID-19 Lesion Localisation and Segmentation via
  Weakly Supervised Learning

Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning

1 March 2021
Yang Yang
Jiancong Chen
Ruixuan Wang
Tingxia Ma
Lingwei Wang
Jie Chen
Weishi Zheng
Tong Zhang
ArXivPDFHTML

Papers citing "Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning"

4 / 4 papers shown
Title
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark
  under Heterogeneous AI Computing Platforms
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms
Jiafan Zhuang
Xiansong Huang
Yang Yang
Jiancong Chen
Yue Yu
Wei-Nan Gao
Ge Li
Jie Chen
Tong Zhang
VLM
19
5
0
11 Aug 2022
Combating COVID-19 using Generative Adversarial Networks and Artificial
  Intelligence for Medical Images: A Scoping Review
Combating COVID-19 using Generative Adversarial Networks and Artificial Intelligence for Medical Images: A Scoping Review
Hazrat Ali
Zubair Shah
MedIm
18
16
0
15 May 2022
Novel coronavirus pneumonia lesion segmentation in CT images
Novel coronavirus pneumonia lesion segmentation in CT images
Weiti Zhou
Zixu Zhang
Hongbin Tu
Xiong Li
23
4
0
25 Oct 2021
Domain and Content Adaptive Convolution based Multi-Source Domain
  Generalization for Medical Image Segmentation
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation
Shishuai Hu
Zehui Liao
Jianpeng Zhang
Yong-quan Xia
OOD
MedIm
25
56
0
13 Sep 2021
1