Transatlantic AI Event: Explainable AI

Date

October 1, 202010/01/2020 8:00am 10/01/2020 8:00am Transatlantic AI Event: Explainable AI

Transatlantic UCSF/CAU Webinar on Artificial Intelligence in Biomedical Imaging: Explainable AI

 

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:  

Mattias P. Heinrich, Institute of Medical Informatics, University of Lübeck, Germany
Towards explainable AI in medical imaging - visualisation techniques and avoidance of label bias
 
Andreas M. Rauschecker, Department of Radiology & Biomedical Imaging, UCSF, USA
Artificial Intelligence System for Brain MRI:  Findings, Differential Diagnoses, and Clinical Integration
 
Claus-C. Glüer, Section Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Christian-Albrechts-University, Kiel, Germany
KI-RAD / Ki-SIGS: AI in radiological imaging as part of a new AI research consortium in Northern Germany
 
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 2456 America/Los_Angeles public

Type

Lecture

Time Duration

08:00AM - 10:00AM

Transatlantic UCSF/CAU Webinar on Artificial Intelligence in Biomedical Imaging: Explainable AI

 

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:  

Mattias P. Heinrich, Institute of Medical Informatics, University of Lübeck, Germany
Towards explainable AI in medical imaging - visualisation techniques and avoidance of label bias
 
Andreas M. Rauschecker, Department of Radiology & Biomedical Imaging, UCSF, USA
Artificial Intelligence System for Brain MRI:  Findings, Differential Diagnoses, and Clinical Integration
 
Claus-C. Glüer, Section Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Christian-Albrechts-University, Kiel, Germany
KI-RAD / Ki-SIGS: AI in radiological imaging as part of a new AI research consortium in Northern Germany
 
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Speakers

Dr. Andreas M. Rauschecker
Assistant Professor in Residence
Department of Radiology & Biomedical Imaging, UCSF
Dr. Claus-C. Glüer
Section Biomedical Imaging, Department of Radiology and Neuroradiology, University Medical Center Schleswig-Holstein and Christian-Albrechts-University, Kiel, Germany​
Dr. Mattias P. Heinrich
Institute of Medical Informatics, University of Lübeck, Germany