M2.R1.3
AUTOMATED TUNING FOR DIFFUSION INVERSE PROBLEM SOLVERS WITHOUT GENERATIVE PRIOR RETRAINING
Yaşar Utku Alçalar, Junno Yun, Mehmet Akçakaya, University of Minnesota, United States
Session:
M2.R1: Generative AI in Biomedical Imaging Lecture
Track:
Special Sessions
Location:
Isabela I
Presentation Time:
Mon, 15 Dec, 16:40 - 17:00 AST (UTC -4)
Session Co-Chairs:
Mehmet Akçakaya, University of Minnesota and Ulugbek Kamilov, Washington University in St. Louis
Session M2.R1
M2.R1.1: RETROSPECTIVE MOTION CORRECTION IN MRI USING DISANTENGLED EMBEDDINGS
Qi Wang, Veronika Ecker, Marcel Früh, University of Tuebingen, Germany; Sergios Gatidis, Stanford University, United States; Thomas Küstner, University of Tuebingen, Germany
M2.R1.2: DISTRIBUTION SHIFT ESTIMATION IN IMAGING INVERSE PROBLEMS
Weining Wang, Shirin Shoushtari, Edward P. Chandler, Washington University in St. Louis, United States; M. Salman Asif, University of California, Riverside, United States; Ulugbek S. Kamilov, Washington University in St. Louis, United States
M2.R1.3: AUTOMATED TUNING FOR DIFFUSION INVERSE PROBLEM SOLVERS WITHOUT GENERATIVE PRIOR RETRAINING
Yaşar Utku Alçalar, Junno Yun, Mehmet Akçakaya, University of Minnesota, United States
M2.R1.4: LATENT DIFFUSION BASED ADAPTIVE IMAGE REPRESENTATION FOR MULTIDIMENSIONAL MRI
Ruiyang Zhao, Jiachen Tu, Fan lam, University of Illinois Urbana-Champaign, United States
Contacts