Michael Lustig

Berkley University

 

MRI ACQUISITION AND RECONSTRUCTION — FROM BASIC TECHNIQUES TO COMPRESSIVE SENSING AND MACHINE LEARNING

Ovidiu Andronesi

Harvard Medical School

PRECISION ONCOLOGY AND RADIOGENOMICS WITH MR SPECTROSCOPIC IMAGINING

Doron Shaked

GE Global Research

INTRODUCTION TO DEEP NETWORKS WITH MEDICAL APPLICATIONS

Bart ter Haar Romeny

Eindhoven Technological University

BRAIN — INSPIRED MODELS FOR AI, AI-INSPIRED MODELS FOR THE BRAIN

Marius Leordeanu

Romanian Academy of Sciences

THE STORY BEHIND THE IMAGE — WHEN VISION MEETS LANGUAGE

Kim Mouridsen

Aarhus University, Denmark

COMING SOON

02
July, 2018

9:30- 10:00
Registration/Coffee Break
10:00-10:30
Opening Ceremony
10:30-12:00
Introduction to Deep Networks with Medical Applications
Speaker: Doron Shaked
12:30-14:00
Lunch
14:00-15:30
Introduction to Deep Networks with Medical Applications
Speaker: Doron Shaked

03
July, 2018

9:00-11:00
Brain-inspired models for AI, AI-inspired models for the brain (2h)
Speaker: Bart Romeny
11:00- 11:20
Coffee Break
11:20-12:20
Bringing machine learning methods into the medical imaging industry for automation and detection
Speaker: Benjamin Irving
12:20-14:00
Lunch
14:00-16:00
Deep U-nets for organ segmentation in medical images
Speaker: Benjamin Irving
16:00 -16:20
Coffee Break
16:20- 18:00
Poster Session

04
July, 2018

9:30- 19:30
Philips Innovation Day

05
July, 2018

9:00-10:30
Why is it so difficult to obtain medical images for R&D?
Speaker: Nahum Kiryati
10:30- 10:50
Coffee Break
10:50 -11:20
MRI acquisition and reconstruction — from basic techniques to compressive sensing and machine learning
Speaker: Michael Lustig
11:20-11:40
Coffee Break
11:40 – 13:10
The Story Behind the Image: When Vision Meets Language
Speaker: Marius Leordeanu
13:10-15:00
Lunch
15:00 – 17:30
Deep Neural Networks for Medical Image Recognition in Tensorflow (Part 1)
Workshop

05
July, 2018

9:00-10:30
Precision oncology and radiogenomics with MR spectroscopic imaging
Speaker: Ovidiu Andronesi
10:30- 10:50
Coffee Break
10:50 -11:20
Coming Soon
Speaker: Kim Mouridsen
11:20-11:40
Coffee Break
13:10-15:00
Lunch
15:00 – 17:30
Deep Neural Networks for Medical Image Recognition in Tensorflow (Part 2)
Workshop

PREVIOUS SPEAKERS

Prof. Alfred M. Bruckstein

Israel Institute of Technology, Israel

Prof. Michael Miller

Johns Hopkins University, USA

Prof. Laurent Younes

Johns Hopkins University, USA

Dr. Dorin Comaniciu

Vice President of Medical Imaging Technologies at Siemens Healthcare, USA

Prof. Ron Kimmel

Israel Institute of Technology, Israel

Prof. Nir Sochen

Tel Aviv University, Israel

Prof. Laurent Cohen

Universite Paris Dauphine

Prof. Josiane Zerubia

INRIA Sophipa Antipolis, France

Prof. Bart ter Haar Romeny

Eindhoven University of Technology, Netherlands

Prof. Dmitry Chetverikov

The Hungaryan Academy of Sciences, Hungary

Prof Polina Golland

Massachusetts Institute of Technology, USA

Prof Nicholas Ayache

The French Academy of Sciences, France

Prof. Natalia Trayanova

Johns Hopkins University, USA

Prof.  Alain Trouvé

Ecole Normale Superieure, France

 Dr. Mattias Heinrich

University of Lübeck, Germany

Dawid Wilk

Philips, Poland

Prof Peter Meer

The State University of New Jersey, USA

Prof Laurent Najman

Université Paris-Est, France

Prof Radu Stoica

Université Lille 1, France

Dr. Ana Fruntelata

Monza Hospital of Bucharest, Romania

Dr. Wargha Enayati

Founder of “Regina Maria” Clinics Chain

Sergiu Negut

Dean of Maastricht School of Management, Romania

George Haber

Cresta Found, Silicon Valley, USA

Ing. Ioan Valcu

Philips, Romania

Nikos Paragios

Ecole Centrale de Paris, France