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Kevin Mader is the founder of 4Quant and a lecturer in the X-ray Microscopy Group within the Department for Information Technology and Electrical Engineering at ETH Zurich. His research focuses on turning big hairy 3D images into simple, robust, reproducible numbers without resorting to black boxes or magic.

13.01.2016

Interactive Scientific Image Analysis using Spark

How we transform raw images into valuable medical information

LOCATION: Zürich
KEYWORDS: Technology, Research, Open Source, Hands-On

AGENDA:18:00 - 19:15h: Talk incl. Q/A
Afterwards you are invited to a refreshment.

SPEAKER: Kevin Mader   COMPANY: 4Quant
SLIDES: https://rawgit.com/4Quant/JUG-2016/master/Slides.html

Kevin Mader from 4Quant will talk about Interactive Scientific Image Analysis using the Apache Spark framework and how they transform raw images from CT and MRIs into valuable, medical information.

LEVEL OF TALK: Intermediate
LANGUAGE: Talk: en / Slides: en


Kevin Mader is the founder of 4Quant and a lecturer in the X-ray Microscopy Group within the Department for Information Technology and Electrical Engineering at ETH Zurich. His research focuses on turning big hairy 3D images into simple, robust, reproducible numbers without resorting to black boxes or magic.


LEVELS:

BEGINNER
The presented topic is new to the audience or only little and superficial experience exists. This talk will mainly cover basic aspects of the topic and not go into much detail.

INTERMEDIATE
The presented topic is known to the audience, serious practical experience is expected. This talk might cover some basic aspects of the topic, but will as well go into depth and details.

ADVANCED
The presented topic is well-known to the audience, serious practical experience and a deep understanding are required. This talk will not cover basics of the topic, but will go into depth, might discuss details, compare different approaches, and so on.

ALL
The topic presented is of interest to all levels and does not require any special prior knowledge.

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