Rapid Fire 07- Machine Learning and Artificial Intelligence IV (Kiosk 5)

Moderator(s)

• AP

  Andrew Phair, PhD

  Research Associate
  King's College London, United Kingdom
• 

  Qiang Zhang, PhD, FSCMR

  Associate Professor of AI in Cardiovascular Imaging
  Oxford Centre for Clinical Magnetic Resonance Research
  University of Oxford, United Kingdom

Presentations:

• 1:30 PM – 1:40 PM East Coast USA Time

  TagGen: Diffusion-based Generative Model for Cardiac MR Tagging Super Resolution
  

  Presenting Author: Changyu Sun, PhD – University of Missouri-Columbia

  Primary Author: Changyu Sun, PhD – University of Missouri-Columbia

  Co-Author: Cody Thornburgh, MD – University of Missouri, Columbia

  Co-Author: Neha Goyal, MD – University of Missouri-Columbia

  Co-Author: Senthil Kumar, MD – University of Missouri

  Co-Author: Talissa A. Altes, MD, MSc – University of Missouri
• 1:40 PM – 1:50 PM East Coast USA Time

  Artificial Intelligence-Assist Stress Cardiac Magnetic Resonance Versus Standard-Of-Care in Stable Chest Pain Syndromes
  

  Presenting Author: Isabela Reis Marques, MD – Brigham and Women's Hospital

  Primary Author: Isabela Reis Marques, MD – Brigham and Women's Hospital

  Co-Author: Marianna Daibes, MD – Brigham and Women's Hospital

  Co-Author: Benedikt Bernhard – Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA

  Co-Author: Bobak Heydari, MD – Brigham and Women's Hospital

  Co-Author: Michael Jerosch-Herold, PhD – Harvard Medical School

  Co-Author: Nii O. Addy, PhD – Vista.ai

  Co-Author: Lori Powell – Vista.ai

  Co-Author: Juan Santos, PhD – Vista.ai

  Co-Author: Bob Hu, MD – Vista.ai

  Co-Author: Raymond Y. Kwong, MD – Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
• 1:50 PM – 2:00 PM East Coast USA Time

  Deep Generative Model based Virtual LGE and Feasibility Evaluation in Hypertrophic Cardiomyopathy
  

  Presenting Author: Longyu Sun, MSc – Human Phenome Institute, Fudan University

  Primary Author: Longyu Sun, MSc – Human Phenome Institute, Fudan University

  Co-Author: Yan Li, MSc – Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

  Co-Author: Mengyao Yu, PhD – Human Phenome Institute, Fudan University

  Co-Author: Shuo Wang, PhD – Digital Medical Research Center, School of Basic Medical Sciences, Fudan University

  Co-Author: Qing Li, MSc – Human Phenome Institute, Fudan University

  Co-Author: Mengting Sun, MSc – Human Phenome Institute, Fudan University

  Co-Author: Xumei Hu, MSc – Human Phenome Institute, Fudan University

  Co-Author: Meng Liu, MSc – Human Phenome Institute, Fudan University

  Co-Author: Xinyu Zhang, MSc – Human Phenome Institute, Fudan University

  Co-Author: Weibo Chen, PhD – Philips Healthcare

  Co-Author: Minxuan Xu, BA – School of Information Science and Technology, Fudan University

  Co-Author: Chengyan Wang, PhD – Fudan University
• 2:00 PM – 2:10 PM East Coast USA Time

  Evaluating Foundational 'Segment Anything' (Med-SAM1, Med-SAM2) Deep Learning Models for Left Atrial Segmentation in 3D LGE CMR
  

  Presenting Author: Mehri Mehrnia, MSc – Northwestern University

  Primary Author: Mehri Mehrnia, MSc – Northwestern University

  Co-Author: Mohamed Elbayumi, MSc – Northwestern University

  Co-Author: Mohammed Elbaz, PhD – Northwestern University
• 2:10 PM – 2:20 PM East Coast USA Time

  Artificial Intelligence-Assist Cardiac Magnetic Resonance Versus Standard-Of-Care in Assessment of Cardiomyopathy
  

  Presenting Author: Marianna Daibes, MD – Brigham and Women's Hospital

  Primary Author: Marianna Daibes, MD – Brigham and Women's Hospital

  Co-Author: Isabela Reis Marques, MD – Brigham and Women's Hospital

  Co-Author: Benedikt Bernhard – Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA

  Co-Author: Bobak Heydari, MD – Brigham and Women's Hospital

  Co-Author: Michael Jerosch-Herold, PhD – Harvard Medical School

  Co-Author: Nii O. Addy, PhD – Vista.ai

  Co-Author: Lori Powell – Vista.ai

  Co-Author: Juan Santos, PhD – Vista.ai

  Co-Author: Bob Hu, MD – Vista.ai

  Co-Author: Raymond Y. Kwong, MD – Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
• 2:20 PM – 2:30 PM East Coast USA Time

  Improved DENSE-Guided Deep Networks To Predict Myocardial Strain From Routine Cine Magnetic Resonance Images by Accounting For Rotation
  

  Primary Author: Pengcheng Lei, BEng – University of Virginia

  Co-Author: Jiarui Xing, PhD – Yale University

  Co-Author: Yu Wang, PhD – University of Virginia

  Co-Author: Sona Ghadimi, PhD – University of Virginia

  Co-Author: Frederick H. Epstein, PhD – University of Virginia

  Presenting Author: Miaomiao Zhang, PhD – University of Virginia