Abstract—Highly accurate surface models of the cerebral cortex are becoming increasingly important as tools in the investigation of the functional organization of the human brain. The construction of such models is difficult using current neuroimaging technology due to the high degree of cortical folding. Even single voxel mis-classifications can result in erroneous connections being created between adjacent banks of a sulcus, resulting in a topologically in-accurate model. These topological defects cause the cortical model to no longer be homeomorphic to a sheet, preventing the accurate inflation, flattening, or spherical morphing of the reconstructed cortex. Surface deformation techniques can guarantee the topolog-ical correctness of a mo...
Cortical surface reconstruction is important for functional brain mapping and morphometric analysis ...
In this paper we introduce CorticalFlow, a new geometric deep-learning model that, given a 3-dimensi...
We present CortexODE, a deep learning framework for cortical surface reconstruction. CortexODE lever...
Abstract—Reconstructing an accurate and topologically correct representation of the cortical surface...
Segmentation and representation of the human cerebral cortex from magnetic resonance (MR) images pla...
Abstract: Surface reconstruction methods allow advanced analysis of structural and functional brain ...
International audienceBrain surfaces provide a reliable representation for cortical mapping. The con...
We present a method based on deformable meshes for the reconstruction of the cortical surfaces of th...
. Reconstruction of the human cerebral cortex from MR images is a fundamental step in human brain ma...
Dans une 1ère partie, nous présentons l’évolution des méthodes utilisées pour décrire l’anatomie cor...
Brain surfaces provide a reliable representation for cortical mapping. The construction of correct s...
Schloss Dagstuhl, Germany, Octobre 2005International audienceBrain mapping is a technique used to al...
Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a critical...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
In this paper, we focus on the retrospective topology correction of surfaces. We propose a technique...
Cortical surface reconstruction is important for functional brain mapping and morphometric analysis ...
In this paper we introduce CorticalFlow, a new geometric deep-learning model that, given a 3-dimensi...
We present CortexODE, a deep learning framework for cortical surface reconstruction. CortexODE lever...
Abstract—Reconstructing an accurate and topologically correct representation of the cortical surface...
Segmentation and representation of the human cerebral cortex from magnetic resonance (MR) images pla...
Abstract: Surface reconstruction methods allow advanced analysis of structural and functional brain ...
International audienceBrain surfaces provide a reliable representation for cortical mapping. The con...
We present a method based on deformable meshes for the reconstruction of the cortical surfaces of th...
. Reconstruction of the human cerebral cortex from MR images is a fundamental step in human brain ma...
Dans une 1ère partie, nous présentons l’évolution des méthodes utilisées pour décrire l’anatomie cor...
Brain surfaces provide a reliable representation for cortical mapping. The construction of correct s...
Schloss Dagstuhl, Germany, Octobre 2005International audienceBrain mapping is a technique used to al...
Accurate reconstruction of the inner and outer cortical surfaces of the human cerebrum is a critical...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
In this paper, we focus on the retrospective topology correction of surfaces. We propose a technique...
Cortical surface reconstruction is important for functional brain mapping and morphometric analysis ...
In this paper we introduce CorticalFlow, a new geometric deep-learning model that, given a 3-dimensi...
We present CortexODE, a deep learning framework for cortical surface reconstruction. CortexODE lever...