This paper describes an automatic liver segmentation algorithm for extracting liver masks from CT scan volumes. The proposed method consists of two stages. In the first stage, a multi-layer segmentation scheme is utilized to generate 3D liver mask candidate hypotheses. In the second stage, a 3D liver model, based on the Principal Component Analysis, is created to verify and select the candidate...

This panel reexamines the perennial debate on the relevance of IS from the point of view of the value of IS research, who benefits from it and how these benefits are realized. Following up on previous panels, it promotes a discussion on the kinds of knowledge the IS community produces, the visibility of the IS research, its contributions and what could or should the IS community be working on i...

It is a grand challenge to model the emergence of swarm intelligence and many principles or models had been proposed. However, existing models do not catch the nature of swarm intelligence and they are not generic enough to describe various types of emergence phenomena. In this work, we propose a contradiction-centric model for emergence of swarm intelligence, in which individuals’ contradictio...

“One of the better aspects of human nature is our drive to seek out and conquer challenges. We seem imbued with a desire to formulate problems of the highest degree of difficulty and then to relentlessly pursue their solution. The identification and pursuit of Grand Challenges has been a hallmark of the high-performance computing arena for over a decade. In recent years, many other technical co...

Editor’s note: This editorial is part of a series written by editors and co-authored with a senior executive, thought leader, or scholar from a different field to explore new content areas and grand challenges with the goal of expanding the scope, interestingness, and relevance of the work presented in the Academy of Management Journal. The principle is to use the editorial notes as “stage sett...

This paper surveys issues around several grand challenge problems for the understanding of the emergence and evolution linguistic communication, and discusses possible approaches. The identi_ed problems the emergence of (1) advanced use of deixis, gesture, and reference; (2) predication; (3) negation; (4) syntactic categories; and (5) compositionality.

In this work we present the solution to the DEBS’2013 Grand Challenge, as crafted by the joint effort of teams from the Technion and TU Dortmund. The paper describes the architecture, details the queries and offers our observations regarding the appropriate way to trade-off high-level processing with time constraints.

Quantitative analysis of brain MRI at the age of 6 months is difficult because of the limited contrast between white matter and gray matter. In this study, we use a dilated triplanar convolutional neural network in combination with a non-dilated 3D convolutional neural network for the segmentation of white matter, gray matter and cerebrospinal fluid in infant brain MR images, as provided by the...

ACKNOWLEDGEMENTS The authors would like to thank the enumerators for their help with data collection, all study participants, and Dennis Rentsch and Deborah Randall for their advice on the design of the survey. This paper originates in a research project " Hunting for Sustainability " supported by the European Commission under the 7 th Framework Programme for Research and Technological Developm...