Skip to main navigation Skip to search Skip to main content

Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis

  • Zhe Huang
  • , Xiaowei Yu
  • , Benjamin S. Wessler
  • , Michael C. Hughes
  • Tufts University
  • University of Texas at Arlington
  • Tufts Medical Center

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationISBI 2025 - 2025 IEEE 22nd International Symposium on Biomedical Imaging, Proceedings
PublisherIEEE Computer Society
ISBN (Electronic)9798331520526
DOIs
StatePublished - 2025
Externally publishedYes
Event22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025 - Houston, United States
Duration: Apr 14 2025Apr 17 2025

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025
Country/TerritoryUnited States
CityHouston
Period4/14/254/17/25

ASJC Scopus Subject Areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Keywords

  • Deep Learning
  • Echocardiography

Fingerprint

Dive into the research topics of 'Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis'. Together they form a unique fingerprint.

Cite this