| Structured layer surface segmentation for retina OCT using fully convolutional regression networks | 0 | 0.34 | 2021 |
| Optimal Adaptive Sampling For Boundary Estimation With Mobile Sensors | 0 | 0.34 | 2019 |
| Cox Processes for Counting by Detection | 0 | 0.34 | 2019 |
| Fully Convolutional Boundary Regression for Retina OCT Segmentation | 3 | 0.42 | 2019 |
| Intensity inhomogeneity correction of SD-OCT data using macular flatspace. | 0 | 0.34 | 2018 |
| Topology guaranteed segmentation of the human retina from OCT using convolutional neural networks. | 0 | 0.34 | 2018 |
| Bayesian Group Testing Under Sum Observations: A Parallelizable Two-Approximation for Entropy Loss. | 2 | 0.41 | 2017 |
| Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs. | 4 | 0.43 | 2017 |
| Bayesian Optimization for Refining Object Proposals. | 0 | 0.34 | 2017 |
| Voxel Based Morphometry in Optical Coherence Tomography: Validation & Core Findings. | 0 | 0.34 | 2016 |
| Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease. | 3 | 0.38 | 2016 |
| A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging. | 4 | 0.46 | 2016 |
| A toolbox to visually explore cerebellar shape changes in cerebellar disease and dysfunction. | 0 | 0.34 | 2016 |
| Temporal Trajectory and Progression Score Estimation from Voxelwise Longitudinal Imaging Measures: Application to Amyloid Imaging | 3 | 0.43 | 2015 |
| Bayesian Multiple Target Localization | 0 | 0.34 | 2015 |
| Autonomous on-board Near Earth Object detection | 0 | 0.34 | 2015 |
| Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters. | 6 | 0.45 | 2013 |
| Unified detection and tracking of instruments during retinal microsurgery. | 19 | 1.03 | 2013 |
| An Optimal Policy for Target Localization with Application to Electron Microscopy. | 8 | 0.62 | 2013 |
| Twenty Questions With Noise: Bayes Optimal Policies For Entropy Loss | 31 | 1.92 | 2012 |
| Sequential screening: a Bayesian dynamic programming analysis of optimal group-splitting | 1 | 0.36 | 2012 |
| Unified detection and tracking in retinal microsurgery. | 13 | 0.77 | 2011 |
| Learning to Match: Deriving Optimal Template-Matching Algorithms from Probabilistic Image Models | 6 | 0.65 | 2010 |
| Template registration with missing parts: application to the segmentation of m. tuberculosis infected lungs | 3 | 0.58 | 2009 |
| Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex. | 3 | 1.33 | 2008 |
| Finding A Needle In A Haystack | 0 | 0.34 | 2007 |
| Where Have All The Interactions Gone? Estimating The Coverage Of Two-Hybrid Protein Interaction Maps | 23 | 1.60 | 2007 |
| Spline-based probabilistic model for anatomical landmark detection. | 6 | 0.53 | 2006 |
| Maximum Likelihood Set for Estimating a Probability Mass Function | 17 | 1.40 | 2005 |
| Skin detection using pairwise models | 7 | 0.62 | 2005 |
| Automatic Landmarking of Magnetic Resonance brain Images | 3 | 0.39 | 2005 |
| From Maximum Entropy to Belief Propagation: An application to Skin Detection. | 1 | 0.47 | 2004 |
| Statistical Models for Skin Detection | 16 | 1.24 | 2003 |
| Maximum Entropy Models for Skin Detection | 17 | 1.23 | 2002 |
| Image indexing & retrieval using intermediate features | 12 | 0.79 | 2001 |
| Model-based classification trees | 11 | 2.73 | 2001 |
| An Active Testing Model for Tracking Roads in Satellite Images | 246 | 42.54 | 1996 |
