Deep Learning and Artificial Intelligence in Biomedical Imaging and Instrumentation II

Sponsored By 

Session Chair(s)

• 

  Kennita Johnson, PhD (she/her/hers)

  Assistant Professor
  Joint Department of Biomedical Engineering at UNC and NC State
  Chapel Hill, North Carolina, United States
• 

  Daniel Roozbahani, DSc (he/him/his)

  Professor
  Widener University
  CHESTER, Pennsylvania, United States

Track Chair(s)

• 

  Ria Mazumder, PhD (she/her/hers)

  Interim Chair and Associate Teaching Professor
  Widener University
  Chester, Pennsylvania, United States
• 

  Natasha Sheybani, PhD (she/her/hers)

  Assistant Professor of Biomedical Engineering, Radiology & Medical Imaging (by courtesy), and Neurosurgery (by courtesy), Research Director of UVA Focused Ultrasound Cancer Immunotherapy Center
  University of Virginia
  Charlottesville, Virginia, United States

Presentations:

• 2:30 PM – 2:45 PM EST

  A Supervised Machine Learning Approach Using Lung Vasculature to Classify Congenital Diaphragmatic Hernia Severity
  

  Presenting Author: Margaux Deputy – Department of Biomedical Engineering, University of Delaware

  Co-Author: Logan P. Hallee (he/him/his) – Center for Bioinformatics and Computational Biology, University of Delaware

  Co-Author: Cailin R. Gonyea, MS – Department of Biomedical Engineering, University of Delaware

  Primary Investigator: Jason P. Gleghorn – University of Delaware
• 2:45 PM – 3:00 PM EST

  An Explainable Deep Learning Model for Brain Imaging-based Surgical Skill Assessment
  

  Presenting Author: FNU Rahul (he/him/his) – Rensselaer Polytechnic Institute

  Co-Author: Aseem Subedi – Rensselaer Polytechnic Institute

  Co-Author: Lora Cavuoto, PhD (she/her/hers) – University at Buffalo, The State University of New York

  Co-Author: Steven Schwaitzberg – University at Buffalo, The State University of New York

  Co-Author: Matthew Hackett – U.S. Army Combat Capabilities Development Command – Soldier Center

  Co-Author: Jack Norfleet, PhD (he/him/his) – Army DEVCOM-SC-SED-STTC Medical Modeling and Simulation Research

  Co-Author: Xavier Intes, PhD. (he/him/his) – Biomedical Engineering Department and Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, NY 12180, USA

  Co-Author: Suvranu De – Florida A&M University-Florida State University College of Engineering
• 3:00 PM – 3:15 PM EST

  XAI Prediction of Functional Connectivity Self-Similarity Changes Arising from Head Acceleration Event Exposure
  

  Presenting Author: Ruihong Lyu, PhD (she/her/hers) – University of Cincinnati

  Co-Author: Sumra Bari – University of Cincinnati

  Co-Author: Bradley Fitzgerald – Purdue University

  Co-Author: Eric Nauman – University of Cincinnati

  Primary Investigator: Thomas M. Talavage, PhD (he/him/his) – University of Cincinnati
• 3:15 PM – 3:30 PM EST

  Non-invasive temporal elastance and pressure-volume loop derived diagnostic indices in Duchenne muscular dystrophy patients
  

  Presenting Author: Rupak K Banerjee, PhD – University of Cincinnati

  Co-Author: Sean Lang, MD – The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA

  Co-Author: Michael Taylor – University of Texas Dell Medical School

  Co-Author: Israel O. Ajiboye, MS – University of Cincinnati
• 3:30 PM – 3:45 PM EST

  General-Purpose Chest X-ray Screening using AI Foundation Model
  

  Presenting Author: Zefan Yang (he/him/his) – Rensselaer Polytechnic Institute

  Primary Investigator: Pingkun Yan, PhD – Rensselaer Polytechnic Institute

  Co-Author: Ge Wang – Rensselaer Polytechnic Institute

  Co-Author: Mannudeep Kalra

  Co-Author: Xuanang Xu – Rensselaer Polytechnic Institute
• 3:45 PM – 4:00 PM EST

  CNN Based Deep Learning Method with Gaussian Noise Addition to OCT Images for Retinal Disease Classification
  

  Co-Author: Syed Mahedi Hasan, MS – Florida Institute of Technology

  Presenting Author: Kunal Mitra, PhD – Florida Institute of Technology