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

Michael Lindenbaum

Israel IIT, Israel

DECISION WITH IMAGE SPECIFIC BACKGROUND MODELS

Cristian Presură

Philips Senior Scientist

How do we do today R&D? Innovations in the area of personal health sensors

Peter Vorländer

Health Accelerator Innovation Lead, Philips HealthWorks

How YOU can reinvent Healthcare – An introduction into Open innovation @Philips

Veronica Dobozi

Partner at Stoica & Associates Law Firm

Legal limits of artificial intelligence applications in the medical field

George T. Haber

Romanian entrepreneur in Sillicon Valley

Machine Learning vs. Human Learning

Dimitrios Mavroeidis

Senior Scientist, Data Science department, Philips Research

AI for Healthcare – the Lung Cancer Screening use-case

Practical sessions

Vlad Bogolin

University Politehnica of Bucharest

Ioana Croitoru

University Politehnica of Bucharest

02
July, 2018

11:30- 12:00
Registration/Coffee Break
12:00-12:30
Opening
12:30-14:00
Introduction to Deep Networks with Medical Applications
Speaker: Doron Shaked
14:00-14:30
Coffee Break
14:30-16:00
Introduction to Deep Networks with Medical Applications
Speaker: Doron Shaked
16:00-16:30
Coffee Break
16:30-18:00
Decision with image specific background models
Speaker: Michael Lindenbaum

03
July, 2018

9:30-11:00
Why is it so difficult to obtain medical images for R&D?
Speaker: Nahum Kiryati 
11:00-11:30
Legal limits of artificial intelligence applications in the medical field
Speaker: Veronica Dobozi
11:30-12:00
Life Saving Innovation in Romania
Speaker: Rodica Paslaru (SofMedica)
12:00-12:30
Machine Learning vs. Human Learning
Speaker: George T. Haber (Romanian entrepreneur in Sillicon Valley)
12:30-13:00
Coffee Break
13:00-14:00
Bringing machine learning methods into the medical imaging industry for automation and detection
Speaker: Benjamin Irving
14:00-14:45
Lunch
14:45-16:45
Deep U-nets for organ segmentation in medical images
Speaker: Benjamin Irving
Location: ULBS Medicine Library 2nd Floor
16:45 -18:30
Poster Session
Location: ULBS Medicine Hallway

04
July, 2018

9:00-9:10
Welcome Coffee
9:10-9:30
Introduction
Philips Representative
9:30-10:00
AI For Healthcare – The Lung Cancer Screening use-case
Dr. Dimitrios Mavroeidis, Senior Scientist, Data Science Department, Phillips Research
10:00-10:50
How do we do R&D? Innovations in the area of personal health sensors
Cristian Presură, Senior Scientist, Philips
11:00-11:50
How YOU can reinvent Healthcare – An introduction into Open Innovation @Philips
Peter Vorlander, Health Accelerator Innovation Lead, Philips HealthWorks
12:00-12:15
Coffee Break
12:15-13:00
Pre-learning workshop for Philips Masterclasses
Location: ULBS Medicine Library 5th Floor
13:00-14:00
Lunch
14:00-17:00
Philips Masterclasses
Ultrasound-World’s first truly integrated tele-ultrasound solution
Healthcare Informatics – Advanced Visualization and Post-Processing in Cardiovascular & Oncology Studies
Location: ULBS Medicine Library 5th Floor
17:00-17:30
Conclusions & Wrap-up

05
July, 2018

9:30-11:00
MRI acquisition and reconstruction — from basic techniques to compressive sensing and machine learning (part 1)
Speaker: Michael Lustig 
11:00- 11:20
Coffee Break
11:20 -12:50
MRI acquisition and reconstruction — from basic techniques to compressive sensing and machine learning (part 2)
Speaker: Michael Lustig
12:50-14:30
Lunch
14:30 – 16:00
Early detection, faster treatment and prevention of disease with machine learning
Speaker: Kim Mouridsen
16:00-16:20
Coffee Break
16:20 – 17:50
Deep Neural Networks for Medical Image Recognition in Tensorflow (Part 1)
Workshop

06
July, 2018

9:00-9:45
Brain-inspired models for AI, AI-inspired models for the brain 
Speaker: Bart Romeny
9:45-10:00
Coffee Break
10:00-10:45
Brain-inspired models for AI, AI-inspired models for the brain 
Speaker: Bart Romeny
10:45 – 11:00
Coffee Break
11:00 – 12:30
Precision oncology and radiogenomics with MR spectroscopic imaging
Speaker: Ovidiu Andronesi
12:30- 14:00
Lunch
14:00 -15:00
The Story Behind the Image: When Vision Meets Language
Speaker: Marius Leordeanu
15:00-15:15
Coffee Break
15:15 – 16:45
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