Atlas-assisted tomography: registration of a deformable atlas to compensate for limited-angle cone-beam trajectory. - Ofri Sadowsky; Krishnakumar Ramamurthi; Lotta Maria Ellingsen; Gouthami Chintalapani; Jerry L. Prince; Russell H. Taylor (ISBI, 2006)

Mjolnir: deformable image registration using feature diffusion. - Lotta Maria Ellingsen; Jerry L. Prince (Image Processing, 2006)

Digital Homeomorphisms in Deformable Registration. - Pierre-Louis Bazin; Lotta Maria Ellingsen; Dzung L. Pham (IPMI, 2007)

Statistical Atlases of Bone Anatomy: Construction, Iterative Improvement and Validation. - Gouthami Chintalapani; Lotta Maria Ellingsen; Ofri Sadowsky; Jerry L. Prince; Russell H. Taylor (MICCAI (1), 2007)

Mjolnir: Extending HAMMER Using a Diffusion Transformation Model and Histogram Equalization for Deformable Image Registration. - Lotta Maria Ellingsen; Jerry L. Prince (Int. J. Biomed. Imaging, 2009)

Robust deformable image registration using prior shape information for atlas to patient registration. - Lotta Maria Ellingsen; Gouthami Chintalapani; Russell H. Taylor; Jerry L. Prince (Comput. Medical Imaging Graph., 2010)

Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling. - Lotta Maria Ellingsen; Snehashis Roy; Aaron Carass; Ari Blitz; Dzung L. Pham; Jerry L. Prince (Image Processing, 2016)

Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients. - Aaron Carass; Muhan Shao; Xiang Li 063; Blake Dewey; Ari Blitz; Snehashis Roy; Dzung L. Pham; Jerry L. Prince; Lotta Maria Ellingsen (Patch-MI@MICCAI, 2017)

Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas. - Muhan Shao; Aaron Carass; Xiang Li 063; Blake E. Dewey; Ari M. Blitz; Jerry L. Prince; Lotta Maria Ellingsen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks. - Muhan Shao; Shuo Han 001; Aaron Carass; Xiang Li 063; Ari M. Blitz; Jerry L. Prince; Lotta Maria Ellingsen (MLCN/DLF/iMIMIC@MICCAI, 2018)

Deformable model reconstruction of the subarachnoid space. - Jeffrey Glaister; Muhan Shao; Xiang Li 063; Aaron Carass; Snehashis Roy; Ari M. Blitz; Jerry L. Prince; Lotta Maria Ellingsen (Image Processing, 2018)

Large-scale parcellation of the ventricular system using convolutional neural networks. - Hans E. Atlason; Muhan Shao; Vidar Robertsson; Sigurdur Sigurdsson; Vilmundur Gudnason; Jerry L. Prince; Lotta Maria Ellingsen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder. - Hans E. Atlason; Áskell Löve; Sigurdur Sigurdsson; Vilmundur Gudnason; Lotta Maria Ellingsen (Image Processing, 2019)

Automated femur segmentation from computed tomography images using a deep neural network. - Pall Asgeir Bjornsson; Benedikt Helgason; Halldor Pálsson; Sigurður Sigurðsson; Vilmundur Gudnason; Lotta Maria Ellingsen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Automated brainstem parcellation using multi-atlas segmentation and deep neural network. - Magnus Magnusson; Áskell Löve; Lotta Maria Ellingsen (Image Processing, 2021)

Fast and robust femur segmentation from computed tomography images for patient-specific hip fracture risk screening. - Pall Asgeir Bjornsson; Alexander Baker; Ingmar Fleps; Yves Pauchard; Halldor Pálsson; Stephen J. Ferguson; Sigurdur Sigurdsson; Vilmundur Gudnason; Benedikt Helgason; Lotta Maria Ellingsen (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Region-Based U-Net for Accelerated Training and Enhanced Precision in Deep Brain Segmentation. - Mengyu Li; Magnus Magnusson; Thilo Van Eimeren; Lotta Maria Ellingsen (ISBI, 2024)