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Lotta M Ellingsen

Showing results (1-10 of 17) with videos related to

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International Journal of Biomedical Imaging|August 15, 2009
Mjolnir: extending HAMMER using a diffusion transformation model and histogram equalization for deformable image registrationLotta M Ellingsen, Jerry L Prince
Gene|February 1, 2006
Transposon-derived repeats in the human genome and 5-methylcytosine-associated mutations in adjacent genesHans T Bjornsson, Lotta M Ellingsen, Jon J Jonsson
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 12, 2009
Robust deformable image registration using prior shape information for atlas to patient registrationLotta M Ellingsen, Gouthami Chintalapani, Russell H Taylor, et al.
Neuroimage. Clinical|December 15, 2019
SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoderHans E Atlason, Askell Love, Sigurdur Sigurdsson, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 7, 2007
Statistical atlases of bone anatomy: construction, iterative improvement and validationGouthami Chintalapani, Lotta M Ellingsen, Ofri Sadowsky, et al.
Neuroimage. Clinical|July 1, 2025
Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus SyndromesMengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 21, 2016
Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labelingLotta M Ellingsen, Snehashis Roy, Aaron Carass, et al.
Plos One|September 6, 2022
A joint ventricle and WMH segmentation from MRI for evaluation of healthy and pathological changes in the aging brainHans E Atlason, Askell Love, Vidar Robertsson, et al.
Understanding and Interpreting Machine Learning in Medical Image Computing Applications : First International Workshops, MLCN 2018, DLF 2018, and Imimic 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018 :|October 23, 2020
Shortcomings of Ventricle Segmentation Using Deep Convolutional NetworksMuhan Shao, Shuo Han, Aaron Carass, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 11, 2021
Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlasMuhan Shao, Aaron Carass, Xiang Li, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
International Journal of Biomedical Imaging|August 15, 2009
Mjolnir: extending HAMMER using a diffusion transformation model and histogram equalization for deformable image registrationLotta M Ellingsen, Jerry L Prince
Gene|February 1, 2006
Transposon-derived repeats in the human genome and 5-methylcytosine-associated mutations in adjacent genesHans T Bjornsson, Lotta M Ellingsen, Jon J Jonsson
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|June 12, 2009
Robust deformable image registration using prior shape information for atlas to patient registrationLotta M Ellingsen, Gouthami Chintalapani, Russell H Taylor, et al.
Neuroimage. Clinical|December 15, 2019
SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoderHans E Atlason, Askell Love, Sigurdur Sigurdsson, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|December 7, 2007
Statistical atlases of bone anatomy: construction, iterative improvement and validationGouthami Chintalapani, Lotta M Ellingsen, Ofri Sadowsky, et al.
Neuroimage. Clinical|July 1, 2025
Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus SyndromesMengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 21, 2016
Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labelingLotta M Ellingsen, Snehashis Roy, Aaron Carass, et al.
Plos One|September 6, 2022
A joint ventricle and WMH segmentation from MRI for evaluation of healthy and pathological changes in the aging brainHans E Atlason, Askell Love, Vidar Robertsson, et al.
Understanding and Interpreting Machine Learning in Medical Image Computing Applications : First International Workshops, MLCN 2018, DLF 2018, and Imimic 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018 :|October 23, 2020
Shortcomings of Ventricle Segmentation Using Deep Convolutional NetworksMuhan Shao, Shuo Han, Aaron Carass, et al.
Proceedings of Spie--The International Society for Optical Engineering|August 11, 2021
Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlasMuhan Shao, Aaron Carass, Xiang Li, et al.
Pageof 2