DefenseShadiAlbarqouni

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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PhD Defense by Shadi Albarqouni


  • Speaker: Shadi Albarqouni
  • Date: Wednesday, November 22, 2017
  • Time: 14:00
  • Location: FMI-Building, Room 00.05.035

Machine Learning for Biomedical Applications: From Crowdsourcing to Deep Learning

Abstract:

Aimed at improving machine learning algorithms by incorporating domain-specific knowledge, we develop a set of mathematical and technical methods that cope with different conditions of data abundance, reliable labels, and class balance. Proposed methods are evaluated for various biomedical applications, in particular, Tomographic Reconstruction and Noise Reduction in Cryo-Electron Tomography, Mitotic figure Detection in Breast Cancer Histology Images, and Depth Perception in Interventional Imaging.


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Title: PhD? defense by Shadi Albarqouni
Date: 22 November 2017
Location: MI 00.05.035
Abstract: Aimed at improving machine learning algorithms by incorporating domain-specific knowledge, we develop a set of mathematical and technical methods that cope with different conditions of data abundance, reliable labels, and class balance. Proposed methods are evaluated for various biomedical applications, in particular, Tomographic Reconstruction and Noise Reduction in Cryo-Electron Tomography, Mitotic figure Detection in Breast Cancer Histology Images, and Depth Perception in Interventional Imaging.
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