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09/04/2023
Layer-wise training for self-supervised learning on graphs
End-to-end training of graph neural networks (GNN) on large graphs prese...
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03/15/2023
RGI : Regularized Graph Infomax for self-supervised learning on graphs
Self-supervised learning is gaining considerable attention as a solution...
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02/21/2023
SurvLIMEpy: A Python package implementing SurvLIME
In this paper we present SurvLIMEpy, an open-source Python package that ...
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12/30/2020
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
Automation of brain tumor segmentation in 3D magnetic resonance images (...
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09/24/2020
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Automation of brain tumors in 3D magnetic resonance images (MRIs) is key...
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11/01/2019
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
Active Learning techniques are used to tackle learning problems where ob...
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08/06/2019
BCN20000: Dermoscopic Lesions in the Wild
This article summarizes the BCN20000 dataset, composed of 19424 dermosco...
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04/01/2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Quantification of cerebral white matter hyperintensities (WMH) of presum...
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12/30/2018
Cascaded V-Net using ROI masks for brain tumor segmentation
In this work we approach the brain tumor segmentation problem with a cas...
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12/30/2018
Leishmaniasis Parasite Segmentation and Classification using Deep Learning
Leishmaniasis is considered a neglected disease that causes thousands of...
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12/30/2018
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
We propose a patch sampling strategy based on a sequential Monte-Carlo m...
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12/29/2018
Brain MRI super-resolution using 3D generative adversarial networks
In this work we propose an adversarial learning approach to generate hig...
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05/23/2017
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures
This paper analyzes the use of 3D Convolutional Neural Networks for brai...
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12/02/2016
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling
This paper describes a new neuroimaging analysis toolbox that allows for...
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05/27/2015