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Deep Active Lesion Segmentation
Lesion segmentation is an important problem in computer-assisted diagnos...
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From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
Reconstructing observed images from fMRI brain recordings is challenging...
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Self-Attention Capsule Networks for Image Classification
We propose a novel architecture for image classification, called Self-At...
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TVAE: Triplet-Based Variational Autoencoder using Metric Learning
Deep metric learning has been demonstrated to be highly effective in lea...
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A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes
We propose a fully-automated method for accurate and robust detection an...
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Adaptive Local Window for Level Set Segmentation of CT and MRI Liver Lesions
We propose a novel method, the adaptive local window, for improving leve...
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