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. The different potential roles of AI in image acquisition, processing and diagnosis will be a common theme throughout.
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