O
Oskar Maier
Researcher at University of Lübeck
Publications - 23
Citations - 1843
Oskar Maier is an academic researcher from University of Lübeck. The author has contributed to research in topics: Segmentation & Image segmentation. The author has an hindex of 14, co-authored 23 publications receiving 1310 citations. Previous affiliations of Oskar Maier include Technical University of Madrid.
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Journal ArticleDOI
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
Oskar Maier,Bjoern H. Menze,Janina von der Gablentz,Levin Häni,Mattias P. Heinrich,Matthias Liebrand,Stefan Winzeck,Abdul Basit,Paul Bentley,Liang Chen,Daan Christiaens,Francis Dutil,Karl Egger,Chaolu Feng,Ben Glocker,Michael Götz,Tom Haeck,Hanna-Leena Halme,Hanna-Leena Halme,Mohammad Havaei,Khan M. Iftekharuddin,Pierre-Marc Jodoin,Konstantinos Kamnitsas,Elias Kellner,Antti Korvenoja,Hugo Larochelle,Christian Ledig,Jia-Hong Lee,Frederik Maes,Qaiser Mahmood,Qaiser Mahmood,Klaus H. Maier-Hein,Richard McKinley,John Muschelli,Chris Pal,Linmin Pei,Janaki Raman Rangarajan,Syed M. S. Reza,David Robben,Daniel Rueckert,Eero Salli,Paul Suetens,Ching-Wei Wang,Matthias Wilms,Jan S. Kirschke,Ulrike M. Krämer,Thomas F. Münte,Peter Schramm,Roland Wiest,Heinz Handels,Mauricio Reyes +50 more
TL;DR: This paper proposes a common evaluation framework for automatic stroke lesion segmentation from MRIP, describes the publicly available datasets, and presents the results of the two sub‐challenges: Sub‐Acute Stroke Lesion Segmentation (SISS) and Stroke Perfusion Estimation (SPES).
Journal ArticleDOI
Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.
Aaron Carass,Snehashis Roy,Amod Jog,Jennifer L. Cuzzocreo,Elizabeth Magrath,Adrian Gherman,Julia Button,James Nguyen,Ferran Prados,Carole H. Sudre,Manuel Jorge Cardoso,Niamh Cawley,Olga Ciccarelli,Claudia A. M. Wheeler-Kingshott,Sebastien Ourselin,Laurence Catanese,Hrishikesh Deshpande,Pierre Maurel,Olivier Commowick,Christian Barillot,Xavier Tomas-Fernandez,Xavier Tomas-Fernandez,Simon K. Warfield,Simon K. Warfield,Suthirth Vaidya,Abhijith Chunduru,Ramanathan Muthuganapathy,Ganapathy Krishnamurthi,Andrew Jesson,Tal Arbel,Oskar Maier,Heinz Handels,Leonardo O. Iheme,Devrim Unay,Saurabh Jain,Diana M. Sima,Dirk Smeets,Mohsen Ghafoorian,Bram Platel,Ariel Birenbaum,Hayit Greenspan,Pierre-Louis Bazin,Peter A. Calabresi,Ciprian M. Crainiceanu,Lotta Maria Ellingsen,Lotta Maria Ellingsen,Daniel S. Reich,Jerry L. Prince,Dzung L. Pham +48 more
TL;DR: A quantitative evaluation comparing the consistency of the two raters as well as exploring the performance of the eleven submitted results in addition to three other lesion segmentation algorithms are presented.
Journal ArticleDOI
Right ventricle segmentation from cardiac MRI: a collation study.
Caroline Petitjean,Maria A. Zuluaga,Wenjia Bai,Jean-Nicolas Dacher,Damien Grosgeorge,Jérôme Caudron,Su Ruan,Ismail Ben Ayed,M. Jorge Cardoso,Hsiang Chou Chen,Daniel Jimenez-Carretero,Maria J. Ledesma-Carbayo,Christos Davatzikos,Jimit Doshi,Guray Erus,Oskar Maier,Cyrus M. S. Nambakhsh,Yangming Ou,Yangming Ou,Sebastien Ourselin,Chun Wei Peng,Nicholas S. Peters,Terry M. Peters,Martin Rajchl,Daniel Rueckert,Andres Santos,Wenzhe Shi,Ching-Wei Wang,Haiyan Wang,Jing Yuan +29 more
TL;DR: Best results show that an average 80% Dice accuracy and a 1cm Hausdorff distance can be expected from semi-automated algorithms for this challenging task on the datasets, and that an automated algorithm can reach similar performance, at the expense of a high computational burden.
Journal ArticleDOI
Why rankings of biomedical image analysis competitions should be interpreted with care
Lena Maier-Hein,Matthias Eisenmann,Annika Reinke,Sinan Onogur,Marko Stankovic,Patrick Scholz,Tal Arbel,Hrvoje Bogunovic,Andrew P. Bradley,Aaron Carass,Carolin Feldmann,Alejandro F. Frangi,Peter M. Full,Bram van Ginneken,Allan Hanbury,Katrin Honauer,Michal Kozubek,Bennett A. Landman,Keno März,Oskar Maier,Klaus H. Maier-Hein,Bjoern H. Menze,Henning Müller,Peter Neher,Wiro J. Niessen,Nasir M. Rajpoot,Gregory C. Sharp,Korsuk Sirinukunwattana,Stefanie Speidel,Christian Stock,Danail Stoyanov,Abdel Aziz Taha,Fons van der Sommen,Ching-Wei Wang,Marc-André Weber,Guoyan Zheng,Pierre Jannin,Annette Kopp-Schneider +37 more
TL;DR: In this paper, the authors present a comprehensive analysis of biomedical image analysis challenges conducted up to now and demonstrate the importance of challenges and show that the lack of quality control has critical consequences.
Journal ArticleDOI
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study
TL;DR: The results of this study reveal that high-level machine learning methods lead to significantly better segmentation results compared to the rather simple classification methods, pointing towards a difficult non-linear problem.