Marco Aiello, University of Stuttgart
The Web was done by amateurs: A Reflection on one of the largest collective systems ever engineered
In 2012, Turing Award computer scientist Alan Kay released an interview in which he stated: ‘‘the Internet was done so well that most people think of it as a natural resource like the Pacific Ocean, rather than something that was man-made. […] The Web, in comparison, is a joke. The Web was done by amateurs.’’ By looking at the history and present state of the Web, I will bring arguments to prove or refute Kay’s statement. Questions like: “How did the Web come about? Who are the heroes behind it? How did it evolve to what it is today?” will be addressed. The material is based on the book “The Web Was Done by Amateurs” published in June 2018 by Springer-Nature.
Joao M. Tavares, University of Porto
Segmentation of Complex Medical Images – Algorithms and Applications
The computational segmentation of complex medical images is very challenging, and it is mostly undertaken using, for example, deformable models based on statistical, geometrical or physical modelling, and/or machine learning techniques. Examples of current applications include the segmentation of skin lesions, lungs, heart, blood vessels, brain, ear, and related structures, just to name a few.
In this lecture, algorithms that we have developed to segment medical images acquired using different imaging modalities will be described and their use in real cases discussed.
Pasquale Foggia, University of Salerno
Details about the talks will be provided soon.