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11/30/2022
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative
In medical image analysis, automated segmentation of multi-component ana...
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06/14/2022
CorticalFlow^++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability
The problem of Cortical Surface Reconstruction from magnetic resonance i...
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06/06/2022
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction
In this paper we introduce CorticalFlow, a new geometric deep-learning m...
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10/22/2020
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
The study of neurodegenerative diseases relies on the reconstruction and...
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10/11/2020
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging
Conventional and deep learning-based methods have shown great potential ...
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09/07/2020
Going deeper with brain morphometry using neural networks
Brain morphometry from magnetic resonance imaging (MRI) is a consolidate...
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06/28/2020
Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis
Deep neural networks are parameterised by weights that encode feature re...
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02/26/2017