Transatlantic UCSF/CAU Webinar on Artificial Intelligence in Biomedical Imaging
Date
Transatlantic UCSF/CAU Webinar on Artificial Intelligence in Biomedical Imaging:
Uncertainty of decisions – how artificial and human intelligence try to cope
Hosts:
- Dr. Valentina Pedoia, Center for Intelligent Imaging, Department of Radiology & Biomedical Imaging, University of California, San Francisco, USA
- Dr. Claus-C. Glüer, Section Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Christian-Albrechts-University, Kiel, Germany
Presentations:
Andrew Leynes, MSc, Department of Radiology & Biomedical Imaging, UCSF, USA
Estimating Uncertainty through Bayesian Deep Learning
Rutwik Shah, MD, Department of Radiology & Biomedical Imaging, UCSF, USA
Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds
Lars Schmarje, PhD, Department of Computer Science, Christian-Albrechts-Universität zu Kiel, Germany
Handling fuzzy labels with overclustering
- Thank you for joining the event! Please reach out to our event contacts for questions or inquiries.
2711 America/Los_Angeles public
Type
Time Duration
Location
Transatlantic UCSF/CAU Webinar on Artificial Intelligence in Biomedical Imaging:
Uncertainty of decisions – how artificial and human intelligence try to cope
Hosts:
- Dr. Valentina Pedoia, Center for Intelligent Imaging, Department of Radiology & Biomedical Imaging, University of California, San Francisco, USA
- Dr. Claus-C. Glüer, Section Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Christian-Albrechts-University, Kiel, Germany
Presentations:
Andrew Leynes, MSc, Department of Radiology & Biomedical Imaging, UCSF, USA
Estimating Uncertainty through Bayesian Deep Learning
Rutwik Shah, MD, Department of Radiology & Biomedical Imaging, UCSF, USA
Swarm intelligence: a novel clinical strategy for improving imaging annotation accuracy, using wisdom of the crowds
Lars Schmarje, PhD, Department of Computer Science, Christian-Albrechts-Universität zu Kiel, Germany
Handling fuzzy labels with overclustering
- Thank you for joining the event! Please reach out to our event contacts for questions or inquiries.
Speakers
Andrew Leynes is a graduate of the UCSF Masters of Biomedical Imaging Program and completed his PET/MR Master’s Thesis on “Tissue Segmentation and Classification for PET/MR MR-based Attenuation Correction using Zero-Echo Time (ZTE) MRI” in 2015. He is working on advanced methods for quantitative PET/MRI, high-field (7T) MRI, and RF coil design projects.
Dr. Shah is a Specialist and received his MD from Maharashtra University of Health Sciences and a Master in Translational Medicine from the UCSF-UC Berkeley Bioengineering program. His current work focuses on developing Machine Learning applications in Musculoskeletal Imaging, deployment of models in the clinical workflows and building tools for better human AI interaction. As a physician scientist, Rutwik is passionate about bringing technology driven solutions to the clinic.
Lars Schmarje is a Ph.D. student in the Multimedia Information Processing Group headed by Prof. Reinhard Koch. This group is part of the Department of Computer Science of the Christian-Albrechts-Universität zu Kiel.