Towards radiologist-level cancer risk assessment in CT lung screening using deep learning

no code implementations • 5 Apr 2018 • Stojan Trajanovski, Dimitrios Mavroeidis, Christine Leon Swisher, Binyam Gebrekidan Gebre, Bastiaan S. Veeling, Rafael Wiemker, Tobias Klinder, Amir Tahmasebi, Shawn M. Regis, Christoph Wald, Brady J. McKee, Sebastian Flacke, Heber MacMahon, Homer Pien

Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been recently demonstrated that low-dose computed tomography (CT) screening of the chest can significantly reduce this death rate.

Computed Tomography (CT)

Comparing Approaches to the Identification of Similar Languages

no code implementations • WS 2015 • Marcos Zampieri, Binyam Gebrekidan Gebre, Hernani Costa, Josef van Genabith

Language Identification

Unsupervised Feature Learning for Visual Sign Language Identification

no code implementations • ACL 2014 • Binyam Gebrekidan Gebre, Onno Crasborn, Peter Wittenburg, Sebastian Drude, Tom Heskes

Information Retrieval Language Identification +2

N-gram Language Models and POS Distribution for the Identification of Spanish Varieties (Ngrammes et Traits Morphosyntaxiques pour la Identification de Vari\'et\'es de l'Espagnol) [in French]

no code implementations • JEPTALNRECITAL 2013 • Marcos Zampieri, Binyam Gebrekidan Gebre, Sascha Diwersy

Machine Translation POS

Improving Native Language Identification with TF-IDF Weighting

no code implementations • WS 2013 • Binyam Gebrekidan Gebre, Marcos Zampieri, Peter Wittenburg, Tom Heskes

Language Acquisition Native Language Identification

Towards Automatic Gesture Stroke Detection

no code implementations • LREC 2012 • Binyam Gebrekidan Gebre, Peter Wittenburg, Przemyslaw Lenkiewicz

In this paper, we present a work-in progress annotation model that allows a user to a) track hands/face b) extract features c) distinguish strokes from non-strokes.

AVATecH --- automated annotation through audio and video analysis

no code implementations • LREC 2012 • Przemyslaw Lenkiewicz, Binyam Gebrekidan Gebre, Oliver Schreer, Stefano Masneri, Daniel Schneider, Sebastian Tsch{\"o}pel

In different fields of the humanities annotations of multimodal resources are a necessary component of the research workflow.