pre-Symposium on BIG DATA

BIG DATA - machine learning, algorithms, relavance for imaging science

Date: 4 April 2017

Time: 12.00h to 18.00h

Symposium Venue - same as for the EMIM

University Cologne "Seminargebäude" Room: S 21

 

One might say that Data is the world's great new natural resource.

The term “BIG DATA” refers to increasingly large data sets. Due to their volume, the processing of big data requires specific tools and processes – also and especially related to imaging data. The emergence of big data is the result of the exponential growth: both in the availability and automated use of information, which has prompted the development of complex analytics based on algorithms to spot patterns.

The EC announced the conscientious collection, processing, and use of (big) data resources as overarching theme also for researchers. And the question on how to handle and translate big data and basic research results into clinical applications as one of the key challenges.

Registration fee

Early fee

60,00 €

Regular fee

80,00 €

Deadline for early bird registration is 14 February 2017 (same as for the EMIM).

Proceed to Registration

Programme & Topics

12:00 – 13:30

MODULE 1: IMAGING

Application of machine learning in medical imaging and the generation of biomarkers from imaging.

 

Jonathan Disselhorst – Introduction & Welcome (10min)

 

James O'ConnorImaging Biomarkers (40min)
University of Manchester, Manchester (UK)
Senior Lecturer in Radiology, Cancer Research UK Clinician Scientist

 

Bram van GinnekenDiagnostic Image Analysis (40min)
Radboud University, Nijmegen (NL)
Chair of the Diagnostic Image Analysis Group

13:30 – 14:00

BREAK

14:00 – 15:20

MODULE 2: ALGORITHMS

 

Hayit GreenspanDeep Learning in Medical Imaging (40min)
Tel Aviv University, Tel Aviv (IL)
Head of Medical Image Processing Lab

 

Celine VensData Mining Algorithms for Biomedical Applications (40min)
University of Leuven, Leuven (BE)
Assistant Professor Computer Science

15:20 – 15:50

BREAK

15:50 – 18:00

MODULE 3: OMICS

 

Moritz GerstungLinking Genomic, Molecular and Clinical Data (40min)
European Bioinformatics Institute, Hinxton (UK)
Head of the Computational Cancer Biology Group

 

Fabian Theis Mathematical Modeling of Biological Systems (40min)
Helmholtz Center Munich, Munich (DE)
Head of the Institute of Computational Biology

 

Boudewijn Lelieveldt Spatially resolved omics (40min)
Leiden University, Leiden (NL)
Head of the Division of Image Processing

 

Jonathan Disselhorst – Discussion & Farewell (10min)