Shadi Nabil Albarqouni

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Shadi N. Albarqouni works as a Research Assistant for the Chair of Computer Aided Medical Procedure in Technische Universität München. He holds a Visiting Scholar position in Center of Advanced European Studies and Research (caesar)/DZNE in Bonn, Germany. His mainly work on developing Image Processing tools for cryo-electron tomographic data. He worked as an Instructor in Faculty of Engineering in The Islamic University of Gaza as well as a Technical Instructor in the University College of Applied Science. He received recently a Scholarship to pursue his PhD in Medical Imaging in the Chair of Computer Aided Medical Procedure & Augmented Reality in Technical University of Munich, Munich,...

machine learning regularization sparse coding medical imaging histopathology medical microscopic imaging deep learning aggregation crowdsourcing knowledge informatica biomedical data mining clustering optimization graph sparsity dictionary learning compressive sensing ehb conference. palestinian ministry of health bethlehem alliance palestine healthcare telemedicine giz artificial neural network neural network hcr robotics

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Shadi Nabil Albarqouni

Certificate

AggNet: Deep Learning from Crowds

Clustering lect

Sparse Regularization

Pmsd

Introduction to Sparse Methods

Telemedicine in Palestine

Pro

Robust Stability and Disturbance Analysis of a Class of Networked Control Systems

DIP Course Projects (HCR)

Rigid motions & Homogeneous Transformation