Medical Imaging in a Low-resource Setting
Abstract:
This session will explore different challenges associated with medical imaging in low resource settings. MRI, X-ray/CT and ultrasound image requirements will be compared with one another, as well as issues of data transmission and interpretation.
Organiser & chair: Andrew Webb
Session Schedule
- 16:30 - 16:50
- Invited talk: What practical role can deep learning play in sustainable low field MRI in low resource settings?
- Andrew Webb
- 16:50 - 17:10
- Invited talk: Addressing Ecosystem Needs for Advancing MRI Access in Low and Middle-Income Settings
- Sean Deoni
- 17:10 - 17:30
- Invited talk: Computational Brain Imaging in Low-Resource Settings: From Automated Diagnostics to AI Hallucinations
- Steven Schiff
- 17:30 - 17:50
- Invited talk: The Imaging Revolution: Convergence of Point-of-Care Testing, AI and Digital Health
- Kristen DeStigter
- 17:50 - 18:10
- Invited talk: Three Steps to Improving Magnetic Resonance Imaging Capacity in Low-Resource Settings
- Udunna Anazodo
- 18:10 - 19:30
- Invited poster: Advances in Image Quality Transfer and application in low-resource settings
- Daniel Alexander
- 18:10 - 19:30
- Contributed poster: Nonlinear Tomographic Reconstruction via Nonsmooth Optimization
- Vasileios Charisopoulos*
- 18:10 - 19:30
- Contributed poster: Locality Enables End-to-end Supervised Learning for Cryo-ET
- Vinith Kishore*
- 18:10 - 19:30
- Contributed poster: Robust Plug-and-Play Methods for Highly Accelerated Non-Cartesian MRI Reconstruction
- Matthieu Terris
- 18:10 - 19:30
- Contributed poster: Merging the Worlds of Cartesian and Non-Cartesian Sampling for Highly Accelerated MRI
- Chaithya Giliyar Radhakrishna*