L
Lotta Maria Ellingsen
Researcher at University of Iceland
Publications - 31
Citations - 1015
Lotta Maria Ellingsen is an academic researcher from University of Iceland. The author has contributed to research in topics: Image registration & Segmentation. The author has an hindex of 12, co-authored 29 publications receiving 680 citations. Previous affiliations of Lotta Maria Ellingsen include Johns Hopkins University.
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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
Brain age prediction using deep learning uncovers associated sequence variants
Benedikt Atli Jónsson,Benedikt Atli Jónsson,Gyda Bjornsdottir,Thorgeir E. Thorgeirsson,Lotta Maria Ellingsen,G. Bragi Walters,G. Bragi Walters,Daniel F. Gudbjartsson,Daniel F. Gudbjartsson,Hreinn Stefansson,Kari Stefansson,Kari Stefansson,Magnus O. Ulfarsson,Magnus O. Ulfarsson +13 more
TL;DR: A new deep learning approach to predict brain age from a T1-weighted MRI is presented and a GWAS of the difference between predicted and chronological age is carried out, revealing two associated variants.
Journal ArticleDOI
15q11.2 CNV affects cognitive, structural and functional correlates of dyslexia and dyscalculia
Magnus O. Ulfarsson,Magnus O. Ulfarsson,G B Walters,Omar Gustafsson,Stacy Steinberg,Ana I. Silva,Orla Doyle,Michael Brammer,Daniel F. Gudbjartsson,Daniel F. Gudbjartsson,Sunna Arnarsdottir,Gudrun A. Jonsdottir,Rosa S. Gisladottir,Gyda Bjornsdottir,Hannes Helgason,Hannes Helgason,Lotta Maria Ellingsen,Jonas G. Halldorsson,Evald Saemundsen,B Stefansdottir,Lina Jonsson,V K Eiriksdottir,G R Eiriksdottir,G H Johannesdottir,Unnur Unnsteinsdottir,B Jonsdottir,Brynja B. Magnusdottir,Patrick Sulem,Unnur Thorsteinsdottir,Unnur Thorsteinsdottir,Engilbert Sigurdsson,Daniel Brandeis,Daniel Brandeis,Andreas Meyer-Lindenberg,Hreinn Stefansson,Kari Stefansson,Kari Stefansson +36 more
TL;DR: It is reported that the 15q11.2(BP1–BP2) deletion confers greatest risk of the combined phenotype of dyslexia and dyscalculia, and it is shown that the deletion associates with a smaller left fusiform gyrus.
Journal ArticleDOI
Applications of a deep learning method for anti-aliasing and super-resolution in MRI.
Can Zhao,Muhan Shao,Aaron Carass,Hao Li,Blake E. Dewey,Lotta Maria Ellingsen,Jonghye Woo,Michael A. Guttman,Ari M. Blitz,Maureen Stone,Peter A. Calabresi,Henry R. Halperin,Jerry L. Prince +12 more
TL;DR: The SMORE algorithm is reviewed and its performance in four applications is demonstrated, showing its potential for use in both research and clinical scenarios and improving the visualization of brain white matter lesions in FLAIR images acquired from multiple sclerosis patients.
Book ChapterDOI
Statistical atlases of bone anatomy: construction, iterative improvement and validation
TL;DR: An iterative bootstrapping framework to create and analyze statistical atlases of bony anatomy such as the human pelvis from a large collection of CT data sets and believes that the basic method may be adapted readily for use with any registration method with broadly similar characteristics.