Fall 2020 | Spring 2021

Medicine is complex and data-driven and discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support, enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment, and future trends in machine learning in medicine. It will feature prominent investigators who are developing and applying machine learning to biomedical discovery and in clinical decision support.

Date Topic Speaker Institution
January 20, 2021
Wednesday
3:00 PM - 4:00 PM EDT
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning

Recording of presentation (password required)
Ulas Bagci Univ of Central Florida
February 3, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Towards Using Batch Reinforcement Learning to Identify Treatment Options in Healthcare

Recording of presentation (password required)
Finale Doshi-Velez Harvard
February 17, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Graph Learning for Genomics and Neuroscience

Canceled, due to ongoing loss of electric power in Texas.
Genevera Allen Rice Univ
March 3, 2021
Wednesday
3:00 PM - 4:00 PM EDT
Computer Vision to Phenotype Human Diseases Across Physiological and Molecular Scales

Recording of presentation (password required)
James Zou Stanford
March 17, 2021
Wednesday
3:00 PM - 4:00 PM EST
Graph Learning for Genomics and Neuroscience

Recording of presentation (password required)
Genevera Allen Rice Univ
March 31, 2021
Wednesday
3:00 PM - 4:00 PM EST
Real-world, Ambulatory Monitoring of Vocal Behavior to Improve the Assessment and Treatment of Voice Disorders

Recording of presentation (password required)
Daryush Mehta Harvard
April 14, 2021
Wednesday
3:00 PM - 4:00 PM EST
Machine Learning in Medicine: Early Recognition of Sepsis

(No recording)
Karsten Borgwardt ETH Zurich
April 28, 2021
Wednesday
3:00 PM - 4:00 PM EST
Modelling and Propagating Uncertainties in Machine Learning for Medical Images of Patients with Neurological Diseases

Zoom: https://pitt.zoom.us/j/99690666453
Tal Arbel McGill Univ
May 12, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Henning Muller HES-SO Valais-Wallis
May 26, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Sherri Rose Stanford
June 9, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Stephen Aylward Kitware
June 23, 2021
Wednesday
3:00 PM - 4:00 PM EST
TBD Ben Glocker Imperial College London