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| Detecting glaucomatous change in visual fields: Analysis with an optimization framework. | 0 | 0.34 | 2015 |
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| Learning From Data: Recognizing Glaucomatous Defect Patterns and Detecting Progression From Visual Field Measurements | 2 | 0.42 | 2014 |
| A hierarchical framework for estimating neuroretinal rim area using 3D spectral domain optical coherence tomography (SD-OCT) optic nerve head (ONH) images of healthy and glaucoma eyes. | 4 | 0.54 | 2014 |
| A unified framework for glaucoma progression detection using Heidelberg Retina Tomograph images. | 3 | 0.39 | 2014 |
| Glaucoma progression detection using variational expectation maximization algorithm | 1 | 0.35 | 2013 |
| Magnetic resonance imaging of the visual system in vivo: Transsynaptic illumination of V1 and V2 visual cortex | 6 | 0.81 | 2007 |
| Comparison of machine learning and traditional classifiers in glaucoma diagnosis. | 37 | 5.22 | 2002 |
