About

SSIMA: Tech brings together leading academics, PhDs, and postdoctoral students, sharing knowledge from all “corners” of the globe, to create an “intellectual melting pot” of ideas on how to innovate next.

As the home of innovation in medical technology in Eastern Europe, SSIMA:Tech provides the opportunity to participants to meet the very top in their fields, right here in Bucharest.

Topics

They will receive advanced lectures on the latest breakthroughs in Deep Learning in healthcare, medical imaging, medical sensors and robotics, big data in healthcare, and any other topic that is in the forefront of the global MedTech community. They will be able to meet the professors who are leading these breakthroughs personally and ask them questions on the topics discussed.

There will also be practical sessions on a specific AI tool for all participants (the “hands-on Tensor Flow sessions”), where they can experiment themselves with applying AI, using one of the most popular tools with this purpose.

Naturally, a substantial amount of time will be available for informal talks with the speakers during the breaks and social events. There will also be cross-over activities with SSIMA:Med and SSIMA: Industry throughout the week with the participants from those tracks.

Who can apply?

SSIMA:Tech invites Master and PhD students, professionals in academia (assistant professors, lecturers and others), and professionals from industry (company representatives, entrepreneurs in related fields) to apply.  If you fall into one of these categories, make sure you fill out the form below, and apply for registration as soon as possible to secure your place at SSIMA:Tech.

Visa Application

In case your nationality necessitates a visa application with the Romanian immigration authorities, we are more than happy to assist you in the process and provide you with all the necessary formalities (e.g. invitation letter) once you have been selected for the program.

Masterclass

The program will start with a full-day masterclass on Deep Learning by prof. Bart ter Haar Romeny, TU/e NL. The course is intended for a broad audience. Prof. Romeny, this year awarded with the EMBS Distinguished Lecturer award,  is known as a gifted tutorial speaker.

It is possible to purchase a stand-alone ticket for the Masterclass, for those who are not available for the full duration of program:

100 EUR for one day (September 16, 2019): all materials, coffee breaks and small lunch included

Exception: 70 EUR for MSc and BSc students

The masterclass is included in the regular registration at SSIMA.

Registration fees: 

Bachelor & Master Students: 100 EUR   

Early professionals (PhD students): 250 EUR  

Professionals (from academia, research institutes): 300 EUR  

Industry & Other: 400 EUR 

Masterclass only (September 16, 2019): 100 EUR (for MSc and BSc students: 70 EUR) for one day: all materials, coffee breaks and small lunch included.
The masterclass is included in the regular registration at SSIMA.

The fees will cover lectures/lab sessions, coffee breaks, and social events.

Accommodation

Accommodation and travel costs are not covered. For accommodation, please check our Accommodation page.

Important Dates

Registration: 5 of September, 2019

SSIMA Summer School: 16-20 September, 2019

Registration and payment

You will be taken to the registration page. After this page you will be asked to pay the registration fee (by Visa/Master Card, or by ING Bank transfer).

Full Agenda

16th September - Monday

  • -

  • -

    Introduction to the Summer School Elena Ovreiu
    Prof Bart Romeny
    Prof Alfred Bruckstein

  • -

    Concepts of Deep Learning Bart Romeny

  • -

    State-of-the-art in Deep Learning Bart Romeny

  • -

    Break

  • -

    Trained neural networks in action: inference Bart Romeny

  • -

    Lunch

  • -

    What happens inside the black box?
    Bart Romeny

  • -

    Relations with human vision
    Bart Romeny

  • -

    Break

  • -

    ResNets, U-nets, GANs and other networks
    Bart Romeny

  • -

    Programming Deep Learning
    Bart Romeny

17th September - Tuesday

  • -

    Quantitative tumor imaging
    Ovidiu Andronesi

  • -

    Unsupervised learning in AI
    Marius Leordeanu

  • -

    Optical tissue properties
    Stefan Carp

  • -

    Lunch

  • -

    An open science approach to Magnetic Resonance Imaging
    Nikola Stykov

  • -

    How to get medical data for R&D?
    Nahum Kiryati

  • -

    Break

  • -


    Cristian Presura

18th September - Wednesday

  • -

    Computational modeling
    Alex Frangi

  • -

    Population imaging and AI
    Wiro Niessen

  • -

    Medical Image Computing

  • -

    Break

  • -

    MRI applications
    Celik Azim

  • -

    Lunch

  • -

    Tensor Flow
    M. Alex
    O. Vasilescu

  • -

    Robots
    Alon Wolf

  • -

    Break

  • -

    Mechanistic modeling in the age of big data and machine learning
    George Verghese

  • -

    Statistical methods in image understanding
    Peter Meer

19th September - Thursday

  • -

    Welcome and introduction
    Elena Ovreiu
    Bart Romeny
    Alfred Bruckstein

  • -

    Overview of AI applications in everything today
    Andrei Broder

  • -

    MedTech in the hospital: Dutch experience
    Wiro Niessen

  • -

    MedTech in the hospital: London experience Dave Hawkes

  • -

    MedTech in the hospital: Leeds experience
    Alex Frangi

  • -

    The role of the biomedical engineer
    Elena Ovreiu

  • -

    Break

  • -

    Officials

  • -

    Forum discussion

  • -

    Lunch

  • -

    How does AI work?

  • -

    Break

  • -

    Industry/Startup pitches

  • -

    Social event

20th September - Friday

  • -

    TensorFlow-Keras programming course

  • -

    Concluding remarks, closing