AIDA-2020 - Academia meets Industry - Medical imaging and image processing

3 Apr 2017, 13:30 → 4 Apr 2017, 12:30 Europe/Paris

LPNHE

The AIDA-2020 Industry Academia event aims at fostering synergies between detector R&D programmes of AIDA-2020 members and the industry, by creating awareness of strategic R&D topics in academia and of strategic industry needs for which industry-academia collaborations could be envisaged.

The first Academia meets Industry will focus on Medical Imaging and Image Processing, and will consist of technical talks by industry and academic partners, industrial exhibition for industrial partners and a Network Cocktail Reception.

The event will be hosted by LPNHE at Université Pierre et Marie Curie in Paris from Monday 3, April 2017 14:00 until Tuesday 4, April 2017 12:30. 

Organizing Committee:

• Etiennette Auffray-Hillemanns
• David Brasse
• Aurelie Pezous
• Giovanni Porcellana

For questions or further information related to AIDA-2020 meetings, please contact the Local Organizing Committee.

Monday 3 April

13:30 → 14:00 Registration

14:00 → 16:00 Academia Meets Industry

Convener: Felix Sefkow (Deutsches Elektronen-Synchrotron (DE))

14:00 Welcome and introduction to AIDA-2020

Speaker: Felix Sefkow (Deutsches Elektronen-Synchrotron (DE))

AIDA2-AIopen-2ndAM.pdf

14:10 Knowledge Transfer at CERN

Speaker: Aurelie Pezous (CERN)

14:30 Multivariate Machine Learning in Neuroimaging - Predictive Neuroimaging Biomarkers Discovery for Brain Disorders

CEA, France

Speaker: Mrs Amicie de Pierrefeu (CEA)

14:50 PET and technology transfer: the example of Crystal Clear Collaboration

Speaker: Marco Pizzichemi (Universita & INFN, Milano-Bicocca (IT))

15:20 Crytur portfolio

Speaker: Jiri Parizek (Crytur)

15:35 Hamamatsu

Speaker: Laurent Pansolin (Hamamatsu)

16:00 → 16:30 Coffee break

16:30 → 18:30 Academia Meets Industry

Convener: Felix Sefkow (Deutsches Elektronen-Synchrotron (DE))

16:30 Preclinical imaging PET-CT

Inviscan, France

Speaker: Jean Luc Lefaucheur (Inviscan)

17:00 From space to medical imaging

Speaker: Jean Luc Starck (CEA)

17:30 A dedicated trimodality (PET/MR/EEG) Imaging tool for schizophrenia

Speaker: Julien Muller

18:30 → 21:00 Cocktail reception

Tuesday 4 April

09:00 → 10:30 Academia Meets Industry

09:00 Introduction

Speaker: Giovanni Porcellana (CERN)

09:10 Medical Imaging & Robotics: delivering Precision

Renishawmayfield, Switzerland

Speaker: Abed Hammoud (Renishaw Mayfield)

09:40 Mining brain images to uncover cognition and neuropathologies

Mining brain images to uncover cognition and neuropathologies.

How do thoughts, sensations, decisions, emotions, arise from neural activity? What is the biology underlying a social psychiatric disorder such as autism? These questions are answered in cognitive neuroscience via experimental psychology. Unlike physics, cognitive psychology does not rely on first principles. However, brain imaging provides quantitative measurements that can build or constrain model of brain function.

I will discuss how we use build machine learning tools to help understanding the link between the brain, the organ, and the mind, our mental world. Building on the key concepts of machine learning, seen as high-dimensional statistics, I will present progress on "brain reading", inferring thoughts from brain signals, and conversely, finding the characteristics of stimuli salient for the brain.

To study brain pathologies, experiments on subjects at rest, without controlled thoughts, enable including impaired subjects. In such situations, blind mining algorithms are used to uncover intrinsic brain structure and to relate it to subjects' cognitive or clinical profile.
I'll discuss the computational statistics models as well as the successes in characterizing individuals' neuropsychiatrics.

This research program leads to a big-picture methodological question: how can we assemble these data-mining tools to refine representations of cognition from brain data. Beyond cognitive neuroscience, data-intensive investigations open the door to quantitative research in new fields. But it requires a shift in scientific methodology: redefining the accepted notion of a model, reinventing validation without experimental intervention, linking data-driven findings to non-formalized domain knowledge.

INRIA Parietal
NeuroSpin/CEA Saclay

Speaker: Gael Varoquaux (Inria)

10:10 I-see computing

Speaker: Faiza Bourhaleb (i-see computing)

10:30 → 11:00 Coffee break

11:00 → 12:30 Academia Meets Industry

11:00 Real-time range monitoring in particle therapy with the INSIDE hybrid detector

INFN, Italy

Speaker: Piergiorgio Cerello (Universita e INFN Torino (IT))

11:30 Integral fluorescence and bioluminescence imaging and tomography

Speaker: Jörg Peter

11:50 Front-end microelectronics for PET application

Speaker: Ahmad Salleh (Weeroc SAS)

12:10 Proton Computed Tomography: A fully solid state approach from PRaVDA

Speakers: Tony Price (University of Birmingham (GB)), Tony Price (University of Birmingham (GB))