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A New Semi-supervised Learning Benchmark for Classifying View and
  Diagnosing Aortic Stenosis from Echocardiograms

A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms

30 July 2021
Zhe Huang
Gary Long
B. Wessler
M. C. Hughes
ArXivPDFHTML

Papers citing "A New Semi-supervised Learning Benchmark for Classifying View and Diagnosing Aortic Stenosis from Echocardiograms"

3 / 3 papers shown
Title
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and
  Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
H. Vaseli
A. Gu
Ahmadi Amiri
Michael Y. Tsang
A. Fung
Nima Kondori
Armin Saadat
Purang Abolmaesumi
T. Tsang
6
12
0
26 Jul 2023
Atrial Septal Defect Detection in Children Based on Ultrasound Video
  Using Multiple Instances Learning
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
Yiman Liu
Q. Huang
Xiaoxiang Han
Tongtong Liang
Zhi-fang Zhang
...
Angelos Stefanidis
Jionglong Su
Jiangang Chen
Qingli Li
Yuqi Zhang
21
7
0
06 Jun 2023
Deep learning for cardiac image segmentation: A review
Deep learning for cardiac image segmentation: A review
C. L. P. Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
53
664
0
09 Nov 2019
1