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Lotta M. Ellingsen
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Longitudinal multiple sclerosis lesion segmentation: resource and challenge
A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ...
NeuroImage 148, 77-102, 2017
3142017
Brain age prediction using deep learning uncovers associated sequence variants
BA Jónsson, G Bjornsdottir, TE Thorgeirsson, LM Ellingsen, GB Walters, ...
Nature communications 10 (1), 5409, 2019
3112019
Applications of a deep learning method for anti-aliasing and super-resolution in MRI
C Zhao, M Shao, A Carass, H Li, BE Dewey, LM Ellingsen, J Woo, ...
Magnetic resonance imaging 64, 132-141, 2019
852019
15q11. 2 CNV affects cognitive, structural and functional correlates of dyslexia and dyscalculia
MO Ulfarsson, GB Walters, O Gustafsson, S Steinberg, A Silva, OM Doyle, ...
Translational psychiatry 7 (4), e1109-e1109, 2017
782017
Statistical atlases of bone anatomy: construction, iterative improvement and validation
G Chintalapani, LM Ellingsen, O Sadowsky, JL Prince, RH Taylor
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: 10th …, 2007
752007
Digital homeomorphisms in deformable registration
PL Bazin, LM Ellingsen, DL Pham
Biennial International Conference on Information Processing in Medical …, 2007
522007
Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder
HE Atlason, A Love, S Sigurdsson, V Gudnason, LM Ellingsen
Medical Imaging 2019: Image Processing 10949, 372-378, 2019
512019
Brain ventricle parcellation using a deep neural network: Application to patients with ventriculomegaly
M Shao, S Han, A Carass, X Li, AM Blitz, J Shin, JL Prince, LM Ellingsen
NeuroImage: Clinical 23, 101871, 2019
512019
Longitudinal multiple sclerosis lesion segmentation data resource
A Carass, S Roy, A Jog, JL Cuzzocreo, E Magrath, A Gherman, J Button, ...
Data in brief 12, 346-350, 2017
412017
SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder
HE Atlason, A Love, S Sigurdsson, V Gudnason, LM Ellingsen
NeuroImage: Clinical 24, 102085, 2019
312019
Robust deformable image registration using prior shape information for atlas to patient registration
LM Ellingsen, G Chintalapani, RH Taylor, JL Prince
Computerized Medical Imaging and Graphics 34 (1), 79-90, 2010
292010
Medical image computing and computer-assisted intervention—MICCAI 2007
G Chintalapani, LM Ellingsen, O Sadowsky, JL Prince, RH Taylor
Springer, 2007
292007
Shortcomings of ventricle segmentation using deep convolutional networks
M Shao, S Han, A Carass, X Li, AM Blitz, JL Prince, LM Ellingsen
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
232018
Atlas-assisted tomography: registration of a deformable atlas to compensate for limited-angle cone-beam trajectory
O Sadowsky, K Ramamurthi, LM Ellingsen, G Chintalapani, JL Prince, ...
3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006
232006
Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling
LM Ellingsen, S Roy, A Carass, AM Blitz, DL Pham, JL Prince
Medical Imaging 2016: Image Processing 9784, 116-122, 2016
212016
Whole brain parcellation with pathology: Validation on ventriculomegaly patients
A Carass, M Shao, X Li, BE Dewey, AM Blitz, S Roy, DL Pham, JL Prince, ...
Patch-Based Techniques in Medical Imaging: Third International Workshop …, 2017
162017
Automated genotyping: combining neural networks and decision trees to perform robust allele calling
JB Fjalldal, J Sigurdsson, K Benediktsson, LM Ellingsen
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
142001
Mjolnir: Extending HAMMER using a diffusion transformation model and histogram equalization for deformable image registration
LM Ellingsen, JL Prince
Journal of Biomedical Imaging 2009, 1-18, 2009
102009
Deformable Registration of CT Pelvis Images Using Mjolnir
LM Ellingsen, JL Prince
Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th …, 2006
10*2006
Deep learning based brain age prediction uncovers associated sequence variants
BA Jonsson, G Bjornsdottir, TE Thorgeirsson, LM Ellingsen, ...
BioRxiv, 595801, 2019
92019
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