| SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning | 1 | 0.35 | 2021 |
| Joint Image and Label Self-super-Resolution. | 0 | 0.34 | 2021 |
| AdaBoosted Deep Ensembles - Getting Maximum Performance Out of Small Training Datasets. | 0 | 0.34 | 2020 |
| Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. | 0 | 0.34 | 2020 |
| Extracting 2d Weak Labels From Volume Labels Using Multiple Instance Learning In Ct Hemorrhage Detection | 0 | 0.34 | 2020 |
| Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis. | 0 | 0.34 | 2020 |
| 3D Measurements of Acceleration-Induced Brain Deformation via Harmonic Phase Analysis and Finite-Element Models. | 0 | 0.34 | 2019 |
| Cascaded convolutional neural networks for spine chordoma tumor segmentation from MRI. | 0 | 0.34 | 2019 |
| Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. | 0 | 0.34 | 2019 |
| Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification | 0 | 0.34 | 2018 |
| Classifying magnetic resonance image modalities with convolutional neural networks. | 1 | 0.36 | 2018 |
| A Deep Learning Framework For Brain Extraction In Humans And Animals With Traumatic Brain Injury | 0 | 0.34 | 2018 |
| Deep Learning Of Resting State Networks From Independent Component Analysis | 1 | 0.35 | 2018 |
| A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI. | 3 | 0.38 | 2018 |
| Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks. | 1 | 0.44 | 2018 |
| TBI contusion segmentation from MRI using convolutional neural networks | 1 | 0.36 | 2018 |
| Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks. | 5 | 0.43 | 2018 |
| Robust skull stripping using multiple MR image contrasts insensitive to pathology. | 9 | 0.58 | 2017 |
| Falx Cerebri Segmentation via Multi-atlas Boundary Fusion. | 1 | 0.35 | 2017 |
| Automatic falx cerebri and tentorium cerebelli segmentation from Magnetic Resonance Images. | 1 | 0.38 | 2017 |
| Phase Vector Incompressible Registration Algorithm for Motion Estimation From Tagged Magnetic Resonance Images. | 1 | 0.36 | 2017 |
| Consistent cortical reconstruction and multi-atlas brain segmentation. | 1 | 0.36 | 2016 |
| Patch Based Synthesis of Whole Head MR Images: Application To EPI Distortion Correction. | 1 | 0.36 | 2016 |
| Combining multi-atlas segmentation with brain surface estimation. | 4 | 0.40 | 2016 |
| Quantification of traumatic meningeal injury using dynamic contrast enhanced (DCE) fluid attenuated inversion recovery (FLAIR) imaging | 0 | 0.34 | 2016 |
| Segmentation and labeling of the ventricular system in normal pressure hydrocephalus using patch-based tissue classification and multi-atlas labeling. | 1 | 0.37 | 2016 |
| Incompressible Phase Registration For Motion Estimation From Tagged Magnetic Resonance Images | 0 | 0.34 | 2016 |
| MR image synthesis by contrast learning on neighborhood ensembles | 13 | 0.80 | 2015 |
| Intraparenchymal hemorrhage segmentation from clinical head CT of patients with traumatic brain injury | 0 | 0.34 | 2015 |
| Multi-output decision trees for lesion segmentation in multiple sclerosis | 3 | 0.37 | 2015 |
| Cerebral microbleed segmentation from susceptibility weighted images | 3 | 0.39 | 2015 |
| Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions | 5 | 0.41 | 2015 |
| Tree-Encoded Conditional Random Fields for Image Synthesis. | 0 | 0.34 | 2015 |
| Subject-Specific Sparse Dictionary Learning for Atlas-Based Brain MRI Segmentation. | 0 | 0.34 | 2015 |
| Random forest FLAIR reconstruction from T1, T2, and PD-weighted MRI | 0 | 0.34 | 2014 |
| Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view. | 18 | 0.94 | 2013 |
| LONGITUDINAL INTENSITY NORMALIZATION IN THE PRESENCE OF MULTIPLE SCLEROSIS LESIONS. | 3 | 0.46 | 2013 |
| Clustering of High Dimensional Longitudinal Imaging Data | 0 | 0.34 | 2013 |
| System for Integrated Neuroimaging Analysis and Processing of Structure. | 2 | 0.36 | 2013 |
| Intensity standardization of longitudinal images using 4D clustering | 0 | 0.34 | 2013 |
| Fiber tractogrophy and tract segmentation in multiple sclerosis lesions | 0 | 0.34 | 2011 |
| Direct segmentation of the major white matter tracts in diffusion tensor images. | 21 | 0.78 | 2011 |
| Segmentation of brain images using adaptive atlases with application to ventriculomegaly. | 20 | 0.88 | 2011 |
| MR CONTRAST SYNTHESIS FOR LESION SEGMENTATION. | 19 | 1.03 | 2010 |
| Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software | 0 | 0.34 | 2010 |
| The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. | 37 | 2.13 | 2010 |
| A topology-preserving approach to the segmentation of brain images with multiple sclerosis lesions. | 81 | 3.45 | 2010 |
| Belief propagation based segmentation of white matter tracts in DTI. | 4 | 0.45 | 2009 |
| Information Processing in Medical Imaging, 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings | 53 | 4.29 | 2009 |
| Fuzzy c-means with variable compactness | 5 | 0.59 | 2008 |
