Contrastive Self-Supervised Learning for Spatio-Temporal Analysis of Lung Ultrasound Videos

Author:

Chen Li1,Rubin Jonathan1,Ouyang Jiahong1,Balaraju Naveen1,Patil Shubham1,Mehanian Courosh2,Kulhare Sourabh2,Millin Rachel2,Gregory Kenton W.3,Gregory Cynthia R.3,Zhu Meihua3,Kessler David O.4,Malia Laurie4,Dessie Almaz4,Rabiner Joni4,Coneybeare Di4,Shopsin Bo5,Hersh Andrew6,Madar Cristian7,Shupp Jeffrey8,Johnson Laura S.8,Avila Jacob9,Dwyer Kristin10,Weimersheimer Peter11,Raju Balasundar1,Kruecker Jochen1,Chen Alvin1

Affiliation:

1. Philips Research North America

2. Global Health Laboratories

3. Oregon Health & Science University

4. Columbia University Medical Center

5. New York University

6. Brooke Army Medical Center

7. Tripler Army Medical Center

8. MedStar Washington Hospital Center

9. University of Kentucky

10. Warren Alpert Medical School of Brown University

11. University of Vermont Larner College of Medicine

Publisher

IEEE

Reference20 articles.

1. Unsupervised Visual Representation Learning by Context Prediction

2. Whitening for Self-Supervised Representation Learning;ermolov,2020

3. Self-supervised Learning for Spinal MRIs

4. Unsupervised Representation Learning by Predicting Image Rotations;gidaris,2018

5. Visualizing and Understanding Convolutional Networks;zeiler;Computer Vision–ECCV 2014,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02

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