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Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

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Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

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Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Mean-Field methods for Structured Deep-Learning in Computer Vision

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Deep Learning Works in Practice. But Does it Work in Theory?

Deep Feature Factorization for Concept Discovery

Learning Aerial Image Segmentation from Online Maps

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model

Learning to Refine Object Segments

Longitudinal analysis of white matter and cortical lesions in multiple sclerosis

Large-Scale Image Segmentation with Convolutional Networks

Mean-Field methods for Structured Deep-Learning in Computer Vision

Learning Robust Features and Latent Representations for Single View 3D Pose Estimation of Humans and Objects

Large-Scale Image Segmentation with Convolutional Networks

Deep Learning Works in Practice. But Does it Work in Theory?

Deep Feature Factorization for Concept Discovery

Learning Aerial Image Segmentation from Online Maps

Learning to Refine Object Segments

Food/Non-food Image Classification and Food Categorization using Pre-Trained GoogLeNet Model