Scheduled presentations:

• AI-assisted Robotic Endomicroscopy Tissue Scanning
  *C. Xu (Imperial College London), S. Giannarou (Imperial College London)
• From Medical Images to Patient-specific Emulating Phantoms for Image-guided Intervention and Simulation Applications
  K. Merrell (Rochester Institute of Technology), Z. Yang (Rochester Institute of Technology), P. Jackson (Rochester Institute of Technology), N. Poudel (Rochester Institute of Technology), R. Simon (Rochester Institute of Technology), *C. Linte (Rochester Institute of Technology)
• Infimal Models for Denoising and Super-Resolution of Raw Sinograms in Tomographic Medical Imaging Problems
  *E. Morotti (University of Bologna, Italy), G. Landi (University of Bologna, Italy), L. Calatroni (Univeristy of Genoa, Italy)
• Microvascular Modeling from Gigavoxel-Scale Images
  *M. Niger (University of Houston), H. Goharbavang (University of Houston), W. Moree (SwiftFront, LLC), J. Eriksen (University of Houston), D. Mayerich (University of Houston)
• MRI-informed mechanistic model to guide patient-specific optimization triple-negative breast cancer response to neoadjuvant chemotherapy
  *C. Wu (UT MD Anderson Cancer Center), E. Lima (UT Austin), C. Stowers (UT Austin), Z. Xu (UT MD Anderson Cancer Center), C. Yam (UT MD Anderson Cancer Center), J. Son (UT MD Anderson Cancer Center), J. Ma (UT MD Anderson Cancer Center), G. Rauch (UT MD Anderson Cancer Center), T. Yankeelov (UT Austin)
• Personalized Radiotherapy through Mathematical and AI Models: Advancing Cancer Care from Prediction to Intervention
  J. Li (University of Kansas Medical Center), *J. Han (University of Kansas Medical Center), C. Yang (University of Kansas Medical Center), Z. Chen (School of Computing, Southern Illinois Univer), Y. Zhu (University of Kansas Medical Center), C. Wang (University of Kansas Medical Center), W. Zhang (University of Kansas Medical Center), H. Gao (University of Kansas Medical Center)