• About
  • Experience
  • Publications
  • Blog
  • Publications
    • Deep-learning generated B-line score mirrors clinical progression of disease for patients with heart failure
    • 295 Artificial Intelligence Model to Identify Pleural Line Abnormalities in Lung Ultrasound
    • Contrastive self-supervised learning for spatio-temporal analysis of lung ultrasound videos
    • Weakly Semi-supervised Detection in Lung Ultrasound Videos
    • Weakly Semi-supervised Detector-based Video Classification with Temporal Context for Lung Ultrasound
    • 123 Deep-Learning Generated B-Line Score Mirrors Clinical Progression of Disease for Patients Admitted With Shortness of Breath or Hypoxia
    • Application of Bayesian networks to generate synthetic health data
  • Blog
    • 🎉 Easily create your own simple yet highly customizable blog
    • 🧠 Sharpen your thinking with a second brain
    • 📈 Communicate your results effectively with the best data visualizations
    • 👩🏼‍🏫 Teach academic courses
    • ✅ Manage your projects
  • Experience
  • Experience
  • Uses

Contrastive self-supervised learning for spatio-temporal analysis of lung ultrasound videos

Jan 1, 2023·
Li Chen
,
Jonathan Rubin
,
Jiahong Ouyang
,
Naveen Balaraju
,
Shubham Patil
,
Courosh Mehanian
,
Sourabh Kulhare
,
Rachel Millin
,
Kenton W. Gregory
,
Cynthia R. Gregory
· 0 min read
Cite URL
Last updated on Jan 1, 2023
← 295 Artificial Intelligence Model to Identify Pleural Line Abnormalities in Lung Ultrasound Jan 1, 2023
Weakly Semi-supervised Detection in Lung Ultrasound Videos Jan 1, 2023 →

© 2024 Shubham Patil. This work is licensed under CC BY NC ND 4.0