TA7b.1

Accurate, provable, and fast nonlinear tomographic reconstruction via a monotone variational inequality

Mengqi Lou, Kabir Verchand, Sara Fridovich-Keil, Ashwin Pananjady, Georgia Institute of Technology, United States
Session:
TA7b: Recent theoretical and algorithmic advances in computational imaging Lecture
Track:
Speech, Image and Video Processing
Location:
Chapel
Presentation Time:
Tue, 27 Oct, 10:15 - 10:40 PT (UTC -7)
Session Co-Chairs:
Sara Fridovich-Keil, Georgia Institute of Technology, United States and Ashwin Pananjady, Georgia Institute of Technology, United States
Presentation
Discussion
Resources
No resources available.
Session TA7b
TA7b.1: Accurate, provable, and fast nonlinear tomographic reconstruction via a monotone variational inequality
Mengqi Lou, Kabir Verchand, Sara Fridovich-Keil, Ashwin Pananjady, Georgia Institute of Technology, United States
TA7b.2: Algorithmic advances in inverse scattering enabled by direct solvers
Owen Melia, Flatiron Institute, United States; Rebecca Willett, University of Chicago, United States
TA7b.3: Quantitative digital breast tomosynthesis enabled by advance image reconstruction algorithms
Emil Sidky, John Paul Phillips, Ingrid Reiser, Xiaochuan Pan, University of Chicago, United States
TA7b.4: Report Generation for Ultrasound via Foundation Models
Joe Bobby, Salman Khan, Rice University, United States; Venkat Keshav Chivukula, University of Texas Health Science Center, United States; Guha Balakrishnan, Vivek Boominathan, Rice University, United States
Contacts