Matthias Hernandez

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We propose a method to produce laser scan quality 3-D face models from a freely moving user with a low-cost, low resolution depth camera. Our approach does not rely on any prior face model and can produce faithful geometric models of star-shaped objects. We represent the object in cylindrical coordinates, which enables us to perform filtering operations(More)
PURPOSE Geographic atrophy (GA) is the atrophic late-stage manifestation of age-related macular degeneration (AMD), which may result in severe vision loss and blindness. The purpose of this study was to develop a reliable, effective approach for GA segmentation in both spectral-domain optical coherence tomography (SD-OCT) and fundus autofluorescence (FAF)(More)
The optimization process in intensity-modulated radiation therapy (IMRT) is closely related to an inverse problem and is therefore ill-conditioned. Besides, it is a computationally complex and intensive task, leading to numerical instabilities and solutions sensitive to high-frequency perturbations. For these reasons, a regularizer is needed for smoothing(More)
We propose a framework to perform multimodal registration of multiple images. In retinal imaging, this alignment enables the physician to correlate the features across modalities, which can help formulate a diagnosis. The images appear very different and there are few reliable modality-invariant features. We base our registration on the salient line(More)
The decomposition of a fluence matrix in step-and-shoot mode for intensity-modulated radiation therapy (IMRT) usually yields a large number of segments (NS) and, consequently, treatment time is substantially increased. In this paper, we propose a method for reducing the original NS in multileaf collimator segmentations to a user-specified quantity. The(More)
We propose a novel 3D face recognition algorithm using a deep convolutional neural network (DCNN) and a 3D augmentation technique. The performance of 2D face recognition algorithms has significantly increased by leveraging the representational power of deep neural networks and the use of large-scale labeled training data. As opposed to 2D face recognition,(More)
In intensity modulated radiation therapy (IMRT), intensity maps are computed from prescribed doses to target volumes, adding dose restrictions to the surrounding tissues. Those intensity (fluence) maps are discretized into matrices of natural numbers and translated to sequences of multileaf collimator (MLC) leaf movements, which will finally deliver the(More)
Geographic atrophy (GA) is a manifestation of the advanced or late stage of age-related macular degeneration (AMD). AMD is the leading cause of blindness in people over the age of 65 in the western world. The purpose of this study is to develop a fully automated supervised pixel classification approach for segmenting GA, including uni- and multifocal(More)