| 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 | 314 | 2017 |
| 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 | 311 | 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 | 85 | 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 | 78 | 2017 |
| 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 | 75 | 2007 |
| Digital homeomorphisms in deformable registration PL Bazin, LM Ellingsen, DL Pham Biennial International Conference on Information Processing in Medical …, 2007 | 52 | 2007 |
| 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 | 51 | 2019 |
| 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 | 51 | 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 | 41 | 2017 |
| 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 | 31 | 2019 |
| 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 | 29 | 2010 |
| Medical image computing and computer-assisted intervention—MICCAI 2007 G Chintalapani, LM Ellingsen, O Sadowsky, JL Prince, RH Taylor Springer, 2007 | 29 | 2007 |
| 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 | 23 | 2018 |
| 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 | 23 | 2006 |
| 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 | 21 | 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, ... Patch-Based Techniques in Medical Imaging: Third International Workshop …, 2017 | 16 | 2017 |
| 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 | 14 | 2001 |
| 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 | 10 | 2009 |
| 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 | 9 | 2019 |
Jerry L. PrinceProfessor of Electrical and Computer Engineering, Johns Hopkins UniversityVerified email at jhu.edu
