Warfel, T.[Thomas]
* 1994: Scalable Video Rate Camera Interface, A
Warfield, S.
* 1996: Fast K-NN Classification for Multichannel Image Data
* 2019: Deep Plug-and-Play Prior for Parallel MRI Reconstruction
* 2022: qdwi-morph: Motion-compensated Quantitative Diffusion-weighted MRI Analysis for Fetal Lung Maturity Assessment
Includes: Warfield, S. Warfield, S.[Simon]
Warfield, S.K.
* 2003: K-voronoi diagrams computing in arbitrary domains
* 2003: Occlusion points propagation geodesic distance transformation
* 2004: Improved watershed transform for medical image segmentation using prior information
* 2004: Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation
* 2005: 3D Statistical Shape Models to Embed Spatial Relationship Information
* 2005: Articulated Registration Method, An
* 2005: Multi-Subject Variational Registration for Probabilistic Unbiased Atlas Generation
* 2005: Realistic Simulation of the 3-D Growth of Brain Tumors in MR Images Coupling Diffusion With Biomechanical Deformation
* 2005: Robust nonrigid registration to capture brain shift from intraoperative MRI
* 2006: Automatic Segmentation of the Knee Bones using 3D Active Shape Models
* 2008: Evaluation of Brain MRI Alignment with the Robust Hausdorff Distance Measures
* 2009: Continuous STAPLE for Scalar, Vector, and Tensor Images: An Application to DTI Analysis, A
* 2010: Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee
* 2010: Estimation of Inferential Uncertainty in Assessing Expert Segmentation Performance From STAPLE
* 2010: Robust Super-Resolution Volume Reconstruction From Slice Acquisitions: Application to Fetal Brain MRI
* 2011: Accelerating Image Registration With the Johnson-Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy
* 2012: Estimating A Reference Standard Segmentation With Spatially Varying Performance Parameters: Local MAP STAPLE
* 2012: generalized correlation coefficient: Application to DTI and multi-fiber DTI, A
* 2012: Polyaffine parametrization of image registration based on geodesic flows
* 2012: Super-resolution reconstruction of diffusion-weighted images from distortion compensated orthogonal anisotropic acquisitions
* 2013: Cortical Graph Smoothing: A Novel Method for Exploiting DWI-Derived Anatomical Brain Connectivity to Improve EEG Source Estimation
* 2013: Simultaneous Truth and Performance Level Estimation Through Fusion of Probabilistic Segmentations
* 2014: Logarithmic Opinion Pool Based STAPLE Algorithm for the Fusion of Segmentations With Associated Reliability Weights, A
* 2014: Mathematical Framework for the Registration and Analysis of Multi-Fascicle Models for Population Studies of the Brain Microstructure, A
* 2014: Optimal MAP Parameters Estimation in STAPLE: Learning from Performance Parameters versus Image Similarity Information
* 2015: Model of Population and Subject (MOPS) Intensities With Application to Multiple Sclerosis Lesion Segmentation, A
* 2016: Motion-Robust Diffusion-Weighted Brain MRI Reconstruction Through Slice-Level Registration-Based Motion Tracking
* 2017: Block-Matching Distortion Correction of Echo-Planar Images With Opposite Phase Encoding Directions
* 2017: Dynamic Electrical Source Imaging (DESI) of Seizures and Interictal Epileptic Discharges Without Ensemble Averaging
* 2017: Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices
* 2017: New Sparse Representation Framework for Reconstruction of an Isotropic High Spatial Resolution MR Volume From Orthogonal Anisotropic Resolution Scans, A
* 2018: Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space
* 2019: Intelligent Labeling Based on Fisher Information for Medical Image Segmentation Using Deep Learning
* 2022: Reducing the Effects of Motion Artifacts in fMRI: A Structured Matrix Completion Approach
* 2022: Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction
Includes: Warfield, S.K. Warfield, S.K.[Simon K.]
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