CMR Innovations: SCMR-MICCAI Joint Sessions on CMR Reconstruction Challenge - Part 2

Moderator(s)

• 

  Thomas Kuestner, PhD, MSc

  Professor
  Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University Hospital of Tübingen, 72076 Tübingen, Germany, Germany
• 

  Daniel Ennis, PhD

  Professor
  Department of Radiology
  Stanford University

Presentations:

• 2:40 PM – 2:50 PM East Coast USA Time

  1st place CMRxRecon2024 (multi-contrast CMR recon): Adaptive Unrolling Applied to the Accelerated Cardiac MRI Reconstruction
  

  Speaker: Bingyu Xin, PhD – Rutgers University
• 2:50 PM – 3:00 PM East Coast USA Time

  2nd place CMRxRecon2024 (multi-contrast CMR recon): TBD
  

  Speaker: Kian Anvari Hamedani, MSc – Shahid Beheshti University
• 3:00 PM – 3:10 PM East Coast USA Time

  1st place CMRxRecon2024 (random sampling CMR recon): C3-Net: Complex-Valued Cascading Cross-Domain Convolutional Neural  Network for Reconstructing Understanding CMR Images
  

  Speaker: Kang Yan – University of Virginia
• 3:10 PM – 3:20 PM East Coast USA Time

  2nd place CMRxRecon2024 (random sampling CMR recon): Low-Rank Methods for Generalizable Image Reconstruction
  

  Speaker: Calder Sheagren, BSc – University of Toronto
• 3:20 PM – 3:40 PM East Coast USA Time

  Moderated Discussion
  

  Panelist: Bingyu Xin, PhD – Rutgers University

  Panelist: Kian Anvari Hamedani, MSc – Shahid Beheshti University

  Panelist: Kang Yan – University of Virginia

  Panelist: Calder Sheagren, BSc – University of Toronto