M
Mathias Lux
Researcher at Alpen-Adria-Universität Klagenfurt
Publications - 152
Citations - 2951
Mathias Lux is an academic researcher from Alpen-Adria-Universität Klagenfurt. The author has contributed to research in topics: Image retrieval & Visual Word. The author has an hindex of 25, co-authored 151 publications receiving 2437 citations. Previous affiliations of Mathias Lux include Adria Airways & Graz University of Technology.
Papers
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Proceedings ArticleDOI
KVASIR: A Multi-Class Image Dataset for Computer Aided Gastrointestinal Disease Detection
Konstantin Pogorelov,Kristin Ranheim Randel,Carsten Griwodz,Sigrun Losada Eskeland,Thomas de Lange,Dag Johansen,Concetto Spampinato,Duc-Tien Dang-Nguyen,Mathias Lux,Peter T. Schmidt,Michael Riegler,Pål Halvorsen +11 more
TL;DR: KVASIR is a dataset containing images from inside the gastrointestinal (GI) tract that contains two categories of images related to endoscopic polyp removal and is important for research on both single and multi-disease computer aided detection.
Proceedings ArticleDOI
Lire: lucene image retrieval: an extensible java CBIR library
TL;DR: LIRe (Lucene Image Retrieval) is a light weight open source Java library for content based image retrieval which provides common and state of the art global image features and offers means for indexing and retrieval.
Journal ArticleDOI
The Web 2.0 way of learning with technologies
TL;DR: The background of Web 2.0 is explained, the implications for knowledge transfer in general are investigated, and its particular use in eLearning contexts is discussed with the help of short scenarios.
Journal ArticleDOI
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy.
Hanna Borgli,Vajira Thambawita,Pia H. Smedsrud,Steven Alexander Hicks,Debesh Jha,Sigrun Losada Eskeland,Kristin Ranheim Randel,Konstantin Pogorelov,Mathias Lux,Duc Tien Dang Nguyen,Dag Johansen,Carsten Griwodz,Håkon Kvale Stensland,Håkon Kvale Stensland,Enrique Garcia-Ceja,Peter T. Schmidt,Hugo Lewi Hammer,Michael Riegler,Pål Halvorsen,Thomas de Lange +19 more
TL;DR: The HyperKvasir dataset is presented, the largest image and video dataset of the gastrointestinal tract available today and can play a valuable role in developing better algorithms and computer-assisted examination systems not only for gastro- and colonoscopy, but also for other fields in medicine.
Book ChapterDOI
Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation
Bogdan Ionescu,Henning Müller,Mauricio Villegas,Alba García Seco de Herrera,Carsten Eickhoff,Vincent Andrearczyk,Yashin Dicente Cid,Vitali Liauchuk,Vassili Kovalev,Sadid A. Hasan,Yuan Ling,Oladimeji Farri,Joey Liu,Matthew P. Lungren,Duc-Tien Dang-Nguyen,Luca Piras,Michael Riegler,Liting Zhou,Mathias Lux,Cathal Gurrin +19 more
TL;DR: An overview of the ImageCLEF 2018 evaluation campaign is presented, with over 100 research groups registering and 31 submitting results for the tasks, shows an increasing interest in this benchmarking campaign.