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. 2306.03835
  4. Cited By
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

6 June 2023
Yiman Liu
Qingming Huang
Xiaoxiang Han
Tongtong Liang
Zhi-fang Zhang
Lijun Chen
Jinfeng Wang
Angelos Stefanidis
Jionglong Su
Jiangang Chen
Qingli Li
Yuqi Zhang
ArXiv (abs)PDFHTML

Papers citing "Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning"

18 / 18 papers shown
Title
A New Dataset and A Baseline Model for Breast Lesion Detection in
  Ultrasound Videos
A New Dataset and A Baseline Model for Breast Lesion Detection in Ultrasound Videos
Zhi Lin
Junhao Lin
Lei Zhu
Huazhu Fu
Jing Qin
Liansheng Wang
49
34
0
01 Jul 2022
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
Zhe Huang
Gary Long
B. Wessler
M. C. Hughes
43
24
0
30 Jul 2021
USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video
  Contrastive Representation Learning
USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning
Yixiong Chen
Chunhui Zhang
Li Liu
Cheng Feng
Changfeng Dong
Yongfang Luo
Xiang Wan
VLM
84
46
0
25 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
670
41,430
0
22 Oct 2020
X3D: Expanding Architectures for Efficient Video Recognition
X3D: Expanding Architectures for Efficient Video Recognition
Christoph Feichtenhofer
146
1,024
0
09 Apr 2020
VerSe: A Vertebrae Labelling and Segmentation Benchmark for
  Multi-detector CT Images
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina
M. Husseini
Amirhossein Bayat
Maximilian Löffler
Hans Liebl
...
Ben Glocker
A. Valentinitsch
Markus Rempfler
Bjorn H. Menze
Jan S. Kirschke
54
257
0
24 Jan 2020
EvalAI: Towards Better Evaluation Systems for AI Agents
EvalAI: Towards Better Evaluation Systems for AI Agents
Deshraj Yadav
Rishabh Jain
Harsh Agrawal
Prithvijit Chattopadhyay
Taranjeet Singh
Akash Jain
Shivkaran Singh
Stefan Lee
Dhruv Batra
ELM
59
56
0
10 Feb 2019
SlowFast Networks for Video Recognition
SlowFast Networks for Video Recognition
Christoph Feichtenhofer
Haoqi Fan
Jitendra Malik
Kaiming He
169
3,282
0
10 Dec 2018
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features
  for Large-scale Video Classification
NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification
Rongcheng Lin
Jing Xiao
Jianping Fan
VLM
82
103
0
12 Nov 2018
ECO: Efficient Convolutional Network for Online Video Understanding
ECO: Efficient Convolutional Network for Online Video Understanding
Mohammadreza Zolfaghari
Kamaljeet Singh
Thomas Brox
185
499
0
24 Apr 2018
Attention-based Deep Multiple Instance Learning
Attention-based Deep Multiple Instance Learning
Maximilian Ilse
Jakub M. Tomczak
Max Welling
175
1,823
0
13 Feb 2018
A Closer Look at Spatiotemporal Convolutions for Action Recognition
A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran
Heng Wang
Lorenzo Torresani
Jamie Ray
Yann LeCun
Manohar Paluri
235
3,033
0
30 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
128
1,935
0
27 Nov 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
240
8,038
0
22 May 2017
Temporal Segment Networks: Towards Good Practices for Deep Action
  Recognition
Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
Dahua Lin
Xiaoou Tang
Luc Van Gool
ViT
120
3,840
0
02 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,378
0
18 May 2015
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
256
7,542
0
09 Jun 2014
1