Fall 2024
Juan Toscano (Brown): Inferring in vivo murine cerebrospinal fluid flow using artificial intelligence velocimetry with moving boundaries and uncertainty quantification
September 5, 2024
Oscar Leong (UCLA): Generative networks for inverse problems without ground-truth data
September 19, 2024
Angel Pineda (Hofstra U): Task-based assessment for neural network reconstructions: optimizing undersampled MRI based on human observer signal detection
September 26, 2024
Lorena Escudero Sanchez (Cambridge): AI applications in ovarian cancer computed tomography
October 10, 2024
Maximilian Kiss (CWI): Benchmarking learned algorithms for computed tomography image reconstruction tasks
October 17, 2024
Muhammad Faizyab Chaudhary (UA Birmingham): Deriving single volume surrogates of lung function through generative adversarial learning
October 31, 2024
Malena Español (ASU): A deep learning approach for the electrical impedance tomography problem
November 7, 2024
Ander Biguri (Cambridge): Combining the mathematics of inverse problems and machine learning for CT reconstruction: the LION toolbox
November 14, 2024
Kareem Wahid (MD Anderson): Evolving horizons in radiotherapy auto-contouring: Insights from hosting an international data science competition
November 21, 2024
Devin Schoen (UCSF): Advancing predictive models for deep brain stimulation outcomes with multi-contrast MRI and hypergraph techniques
December 5, 2024