Common pitfalls in machine learning applications to multi-center data: tests on the ABIDE I and ABIDE II collections

Author:Elisa Ferrari  Paolo Bosco  Giovanna Spera  Maria Fantacci  Alessandra Retico  

Author Institution:National Institute for Nuclear Physics  University of Pisa  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 20 June 2018  

Session Time:13:45  

Session:Machine Learning for Magnetic Resonance in Medicine  

Program Number:0776  

Presentation Time:15:21  

Room Number:N01  

Computer Number:

Deep neural network based framework for in-vivo axonal permeability estimation

Introduction to Machine Learning in MR Imaging

Author:Gael Varoquaux  

Author Institution:INRIA Parietal  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 20 June 2018  

Session Time:13:45  

Session:Machine Learning for Magnetic Resonance in Medicine  

Program Number:

Presentation Time:13:45  

Room Number:N01  

Computer Number:

Machine Learning for Image Analysis

Author:Ben Glocker  

Author Institution:Imperial College London  

Session Type:Combined Educational & Scientific Session  

Session Date:Wednesday, 20 June 2018  

Session Time:13:45  

Session:Machine Learning for Magnetic Resonance in Medicine  

Program Number:

Presentation Time:14:15  

Room Number:N01  

Computer Number:

    Predictive Cytological Topography (PiCT): a Radio-Pathomics Approach to Mapping Prostate Cancer

    Progressively Distribution-based Rician Noise Removal for Magnetic Resonance Imaging

    Quantitative Mapping by Data-Driven Signal-Model Learning

    Author:Tom Hilbert  Jean-Philippe Thiran  Reto Meuli  Tobias Kober  

    Author Institution:École Polytechnique Fédérale de Lausanne  Siemens Healthcare AG  University Hospital (CHUV)  

    Session Type:Combined Educational & Scientific Session  

    Session Date:Wednesday, 20 June 2018  

    Session Time:13:45  

    Session:Machine Learning for Magnetic Resonance in Medicine  

    Program Number:0777  

    Presentation Time:15:33  

    Room Number:N01  

    Computer Number: