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RCoNet: Deformable Mutual Information Maximization and High-order
  Uncertainty-aware Learning for Robust COVID-19 Detection

RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection

22 February 2021
Shunjie Dong
Qianqian Yang
Yu Fu
Mei Tian
Cheng Zhuo
    OOD
ArXiv (abs)PDFHTML

Papers citing "RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection"

4 / 4 papers shown
Title
Anomaly Detection using Ensemble Classification and Evidence Theory
Anomaly Detection using Ensemble Classification and Evidence Theory
Fernando Arévalo
Tahasanul Ibrahim
C. Piolo
Andreas Schwung
UQCV
54
4
0
23 Dec 2022
Boosting Automatic COVID-19 Detection Performance with Self-Supervised
  Learning and Batch Knowledge Ensembling
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
SSL
72
8
0
19 Dec 2022
A resource-efficient deep learning framework for low-dose brain PET
  image reconstruction and analysis
A resource-efficient deep learning framework for low-dose brain PET image reconstruction and analysis
Yu Fu
Shunjie Dong
Yi Liao
Le Xue
Yuanfan Xu
Feng Li
Qianqian Yang
Tianbai Yu
Mei Tian
Cheng Zhuo
MedIm
54
8
0
14 Feb 2022
Automated Detection and Forecasting of COVID-19 using Deep Learning
  Techniques: A Review
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
172
187
0
16 Jul 2020
1