Lotta M. Ellingsen
Cited by
Cited by
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
Statistical atlases of bone anatomy: construction, iterative improvement and validation
G Chintalapani, LM Ellingsen, O Sadowsky, JL Prince, RH Taylor
International Conference on Medical Image Computing and Computer-Assisted …, 2007
Brain age prediction using deep learning uncovers associated sequence variants
BA Jónsson, G Bjornsdottir, TE Thorgeirsson, LM Ellingsen, GB Walters, ...
Nature communications 10 (1), 1-10, 2019
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
Digital homeomorphisms in deformable registration
PL Bazin, LM Ellingsen, DL Pham
Biennial International Conference on Information Processing in Medical …, 2007
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
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
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, 109491H, 2019
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
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
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
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
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, 97840G, 2016
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, ...
International Workshop on Patch-Based Techniques in Medical Imaging, 20-28, 2017
Mjolnir: Extending HAMMER using a diffusion transformation model and histogram equalization for deformable image registration
LM Ellingsen, JL Prince
International journal of biomedical imaging 2009, 2009
Deformable Registration of CT Pelvis Images Using Mjolnir
LM Ellingsen, JL Prince
Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th …, 2006
Mjolnir: Deformable image registration using feature diffusion
LM Ellingsen, JL Prince
Medical Imaging 2006: Image Processing 6144, 614410, 2006
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
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
Deep learning based brain age prediction uncovers associated sequence variants
BA Jonsson, G Bjornsdottir, TE Thorgeirsson, LM Ellingsen, GB Walters, ...
bioRxiv, 595801, 2019
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