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29 July - 4 Aug 2018 Favignana, Sicily

Medical Imaging meets Deep Learning

See pictures of previous editions: Set1 - Set2


Medical imaging is the science and technology to acquire images of the human body (either as a whole or in parts) for clinical interpretation or interventions. The main challenge for clinicians lies in the explosive number of images being acquired, and their hidden, often complementary or dynamic information contents. To aid the analysis of this increasing amount and complexity of medical images, medical image computing has emerged as an interdisciplinary field at the interface of computer science, engineering, physics, applied mathematics, and of course medicine. In this field, scientists aim to develop robust and accurate computational methods to extract clinically relevant information. In contrast, the field of deep learning is a subset of machine learning methods in artificial intelligence (AI) that is capable of learning data representations and extracting new features, as opposed to more task-specific algorithms employed in medical imaging that are based on human experience and hand-crafted feature extractions. Recent research in these traditionally separate fields suggests that both scientific communities could mutually benefit from one another – but a scientific gap continues to exist.

The focus of this Medical Imaging Summer School (MISS) is to train a new generation of young scientists to bridge this gap, by providing insights into the various interfaces between medical imaging and deep learning, based on the shared broad categories of medical image computing, computer-aided image interpretation and disease classification. The course will contain a combination of in-depth tutorial-style lectures on fundamental state-of-the-art concepts, followed by accessible yet advanced research lectures using examples and applications. A broad overview of the field will be given, and guided reading groups will complement lectures. The course will be delivered by world renowned experts from both academia and industry, who are working closely at the interface of medical imaging/deep learning.

The school aims to provide a stimulating graduate training opportunity for young researchers and Ph.D. students. The participants will benefit from direct interaction with world leaders in medical image computing and deep learning(often working in both fields). Participants will also have the opportunity to present their own research, and to interact with their scientific peers, in a friendly and constructive setting.

For more information, send an email to miss@dmi.unict.it


Michael Bronstein, Università della Svizzera Italiana, Switzerland
Thomas Brox, University of Freiburg, Germany
Trevor Darrell, University of California at Berkeley, USA
Sanja Fidler, University of Toronto, Canada
Ender Konukoglu, ETH-Zurich, Switzerland
Georg Langs, Medical University of Vienna, Austria
Sebastien Ourselin, King's College London, United Kingdom
Daniel Rueckert, Imperial College London, United Kingdom
Andrea Vedaldi, University of Oxford and Facebook, United Kingdom
René Vidal, Johns Hopkins University, USA
Kevin Zhou, Institute of Computing Technologies, Chinese Academy of Sciences, China
Larry Zitnick, Facebook, USA


Roberto Cipolla, University of Cambridge, United Kingdom
Giovanni Maria Farinella, University of Catania, Italy

Julia Schnabel, King's College London, United Kingdom
Filippo Stanco, University of Catania, Italy


The school will be open to about 150 qualified, motivated and pre-selected candidates.

Master Students, Ph. D. students, Post-Docs, young researchers (both academic and industrial), senior researchers (both academic and industrial) or academic/industrial professionals are encouraged to apply.

The expected school fee will be in the order of 600,00 € for Master and Phd students, 700€ for other academic positions and 900 € for all the others. The fee will include all course materials, coffee/granita breaks, WiFi Internet Connection at the conference centre, welcome cocktail, and other social events.

Applications to attend MISS 2018 should be received before 10 April 2018. Applicants will receive notification of acceptance by 15 April 2018.


Accepted students may submit a poster to present their research activity. Suitable space will be reserved to students for showing their posters. The electronic version of the posters will also be available from the MISS web site.

A best presentation prize of 600€ (sponsored by CVPL) will be assigned by the school committee.


During a typical PhD, students will read probably more than 100 papers. Reading research papers is a skill that can be acquired and that is very different from reading a novel.

The reading group sessions are to introduce students to that skill. In small groups of around 10 students per faculty member, students will discuss papers selected by the school faculty.

In preparation for this, students are expected to study (not just read) the provided papers in advance, by tracing the ideas in those papers as far back as possible.

See reading group detailed instructions.


Student Application: 31 March 2018 10 April 2018
Notification Acceptance: 15 April 2018 21 April 2018
Early Registration: 30 April 2018 15 May 2018
Late Registration (with extra payment of 150 €): After 30April 2018 After 15 May 2018
Accommodation Reservation: 30 April 2018 15 May 2018
Poster Submission: 25 May 2018 10 June 2018
Local Arrangements Information: 15 June 2018


The school will be held on the beautiful island of Favigana, which is part of the Egadi Archipelago, just 9 miles off the coast Sicily. Favignana is a glorious yet still mostly unspoilt island, which provides excellent conference facilities in form of a former tuna factory – the “Ex Stabilimento Florio”, which used to be the most important industrial plant of the Mediterranean for tuna processing. Today, after having been beautifully restored, its marvellous architecture has made it one of the top sights of Favignana, boasting a museum, an information centre, a large and modern conference room, and very pleasant outside, yet shaded space for poster sessions and breaks.

Favignana can easily be reached by sea directly from Trapani (on “mainland Sicily”) via ferry or hydrofoil. Additional hydrofoil services from Naples or Marsala exist. The nearest international airport is Palermo, with some smaller airline carriers flying directly to Trapani.

See pictures of previous editions: Set1, Set2.

Welcome Drink at the Florio Palace (MAP) INFO
Conference Centre - Ex Stabilimento Florio
(Ex Tuna fishing factory) (MAP) (INFO
Natural Landscapes (see images)

Reduced room rates for school participants have been arranged and will be offered on a “first-come first-serve basis” in self-catering appartments (with kitchen) at single, double, triple or quadruple occupancy, for 330€–650€ per person for 6 nights (depending on occupancy), including bedding/towels and cleaning. Applications for room reservations must be made before 30April 2018 15 May 2018 using the accommodation reservation form (Accommodation Reservation Module) to be sent by email directly to Elyos S.r.l - CASE Vacanza (Attn. Mrs. Patrizia: elyos@arcipelagoegadi.it). Students coming from different universities can share the room (mark the related field into the accommodation module - Elyos S.r.l - CASE Vacanza will arrange the shared rooms). After 30April 2018 15 May 2018 there is no guarantee for reservations in Favignana. Participants may of course also directly arrange for alternative accommodation via a local agency. Note that room reservations will become very difficult from May onwards.

The accommodation prices for MISS participants are the following:

Accommodation from 29 July (in) to 4 August (out) 2018 (meals are not included) Price x pax
Single Occupancy Apartment 650 €
Double Occupancy Apartment 450 €
Triple Occupancy Apartment 360 €
Quadruple Occupancy Apartment 330 €


The following transfers (including bus + ferry) will be provided by the school (without charge):

FROM TO DEPARTURE - Sunday 29 July 2018 ARRIVAL - Sunday 29 July 2018
Palermo Airport School Location 17.00 20:00
Trapani Airport School Location 18.00 20:00

FROM TO DEPARTURE - Saturday 04 August 2018 ARRIVAL - Saturday 04 August 2018
School Location Palermo Airport 08:00 11:30
School Location Trapani Airport 08:00 10:30

For more information, send an email to: miss@dmi.unict.it