| A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging | 0 | 0.34 | 2021 |
| Geodesic Uncertainty in Diffusion MRI | 0 | 0.34 | 2021 |
| Structural connectivity analysis using Finsler geometry | 0 | 0.34 | 2019 |
| Quantifying the brain's sheet structure with normalized convolution. | 2 | 0.38 | 2017 |
| Adjugate Diffusion Tensors for Geodesic Tractography in White Matter. | 4 | 0.40 | 2016 |
| Sheet Probability Index (SPI): Characterizing the geometrical organization of the white matter with diffusion MRI. | 1 | 0.37 | 2016 |
| Confidence Measures for Assessing the HARP Algorithm in Tagged Magnetic Resonance Imaging. | 0 | 0.34 | 2015 |
| Automated Identification Of Intracranial Depth Electrodes In Computed Tomography Data | 1 | 0.37 | 2015 |
| A Simplified Algorithm For Inverting Higher Order Diffusion Tensors | 0 | 0.34 | 2014 |
| Canonical Coordinates For Retino-Cortical Magnification | 0 | 0.34 | 2014 |
| Factors Affecting Optical Flow Performance In Tagging Magnetic Resonance Imaging | 1 | 0.41 | 2014 |
| A Novel Riemannian Metric for Geodesic Tractography in DTI. | 9 | 0.57 | 2013 |
| Myocardial deformation from local frequency estimation in tagging MRI | 3 | 0.52 | 2013 |
| Direct Myocardial Strain Assessment from Frequency Estimation in Tagging MRI. | 1 | 0.36 | 2013 |
| Multiplicative Calculus in Biomedical Image Analysis | 8 | 1.10 | 2012 |
| A Riemannian scalar measure for diffusion tensor images | 5 | 0.50 | 2011 |
| Finsler Streamline Tracking with Single Tensor Orientation Distribution Function for High Angular Resolution Diffusion Imaging | 4 | 0.48 | 2011 |
| Regularization of positive definite matrix fields based on multiplicative calculus | 0 | 0.34 | 2011 |
| Optic flow based on multi-scale anchor point movement and discontinuity-preserving regularization | 2 | 0.37 | 2011 |
| A new methodology for multiscale myocardial deformation and strain analysis based on tagging MRI. | 6 | 0.69 | 2010 |
| A New Tensorial Framework for Single-Shell High Angular Resolution Diffusion Imaging | 3 | 0.44 | 2010 |
| Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields | 4 | 0.42 | 2009 |
| Optic Flow Using Multi-scale Anchor Points | 1 | 0.35 | 2009 |
| Extraction of Cardiac Motion Using Scale-Space Features Points and Gauged Reconstruction | 1 | 0.35 | 2009 |
| A Riemannian Scalar Measure for Diffusion Tensor Images | 6 | 0.51 | 2009 |
| Finsler Geometry on Higher Order Tensor Fields and Applications to High Angular Resolution Diffusion Imaging | 6 | 0.51 | 2009 |
| The Representation and Matching of Images Using Top Points | 11 | 0.53 | 2009 |
| A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation | 7 | 0.57 | 2009 |
| Novel Similarity Measures for Differential Invariant Descriptors for Generic Object Retrieval | 6 | 0.47 | 2008 |
| Modeling Foveal Vision | 2 | 0.36 | 2007 |
| Feature vector similarity based on local structure | 1 | 0.35 | 2007 |
| Dense Multiscale Motion Extraction from Cardiac Cine MR Tagging using HARP Technology | 7 | 0.59 | 2007 |
| A generic approach to diffusion filtering of matrix-fields | 9 | 0.59 | 2007 |
| Combining different types of scale space interest points using canonical sets | 1 | 0.36 | 2007 |
| Measures for pathway analysis in brain white matter using diffusion tensor images. | 8 | 0.63 | 2007 |
| A generic approach to the filtering of matrix fields with singular PDEs | 6 | 0.47 | 2007 |
| Towards a new paradigm for motion extraction | 4 | 0.42 | 2006 |
| Top-points as interest points for image matching | 14 | 0.80 | 2006 |
| Optic flow from multi-scale dynamic anchor point attributes | 6 | 0.46 | 2006 |
| An efficient method for tensor voting using steerable filters | 20 | 1.59 | 2006 |
| Discrete representation of top points via scale space tessellation | 3 | 0.45 | 2005 |
| The Monogenic Scale Space on a Rectangular Domain and its Features | 11 | 0.77 | 2005 |
| Linear image reconstruction from a sparse set of α-scale space features by means of inner products of sobolev type | 1 | 0.36 | 2005 |
| Deep structure from a geometric point of view | 3 | 0.42 | 2005 |
| Using top-points as interest points for image matching | 5 | 0.47 | 2005 |
| Deep Structure, Singularities, and Computer Vision, First International Workshop, DSSCV 2005, Maastricht, The Netherlands, June 9-10, 2005, Revised Selected Papers | 18 | 1.54 | 2005 |
| On image reconstruction from multiscale top points | 12 | 0.64 | 2005 |
| Stability of top-points in scale space | 5 | 0.48 | 2005 |
| Tikhonov Regularization Versus Scale Space: A New Result | 2 | 0.42 | 2004 |
| Using Multiscale Top Points In Image Matching | 11 | 0.60 | 2004 |
