AIMI Speakers

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