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Cranial Implant Design via Virtual Craniectomy with Shape Priors
Cranial implant design is a challenging task, whose accuracy is crucial ...
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Unsupervised Domain Adaptation via CycleGAN for White Matter Hyperintensity Segmentation in Multicenter MR Images
Automatic segmentation of white matter hyperintensities in magnetic reso...
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Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy
Decompressive craniectomy (DC) is a common surgical procedure consisting...
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Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders
We introduce Post-DAE, a post-processing method based on denoising autoe...
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Learning Deformable Registration of Medical Images with Anatomical Constraints
Deformable image registration is a fundamental problem in the field of m...
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Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders
Deep convolutional neural networks (CNN) proved to be highly accurate to...
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Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Brain lesion and anatomy segmentation in magnetic resonance images are f...
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Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration
Deformable registration has been one of the pillars of biomedical image ...
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Left ventricle quantification through spatio-temporal CNNs
Cardiovascular diseases are among the leading causes of death globally. ...
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Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease
Graphs are widely used as a natural framework that captures interactions...
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Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
Deep learning approaches such as convolutional neural nets have consiste...
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Deformable Registration through Learning of Context-Specific Metric Aggregation
We propose a novel weakly supervised discriminative algorithm for learni...
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Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation
Incorporation of prior knowledge about organ shape and location is key t...
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Spectral Graph Convolutions for Population-based Disease Prediction
Exploiting the wealth of imaging and non-imaging information for disease...
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Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks
Evaluating similarity between graphs is of major importance in several c...
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Slice-to-volume medical image registration: a survey
During the last decades, the research community of medical imaging has w...
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Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields
Rigid slice-to-volume registration is a challenging task, which finds ap...
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Sub-cortical brain structure segmentation using F-CNN's
In this paper we propose a deep learning approach for segmenting sub-cor...
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