https://pypi.org/project/corticalfields/ Recent updates to the Python Package Index for corticalfields en https://pypi.org/project/corticalfields/0.2.7/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Fri, 10 Apr 2026 18:34:50 GMT https://pypi.org/project/corticalfields/0.2.6/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Fri, 10 Apr 2026 18:26:55 GMT https://pypi.org/project/corticalfields/0.2.5/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Fri, 10 Apr 2026 14:51:12 GMT https://pypi.org/project/corticalfields/0.2.4/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Fri, 10 Apr 2026 10:06:18 GMT https://pypi.org/project/corticalfields/0.2.3/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Fri, 10 Apr 2026 08:17:55 GMT https://pypi.org/project/corticalfields/0.2.2/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Thu, 09 Apr 2026 17:47:53 GMT https://pypi.org/project/corticalfields/0.2.1/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Tue, 07 Apr 2026 21:57:22 GMT https://pypi.org/project/corticalfields/0.2.0/ Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging. r.debona@ufrj.br Sat, 04 Apr 2026 14:58:37 GMT https://pypi.org/project/corticalfields/0.1.7/ Geodesic-aware Gaussian Process normative modeling on cortical surfaces with spectral shape descriptors, Bayesian analysis, and information-theoretic surprise maps. r.debona@ufrj.br Wed, 01 Apr 2026 08:57:50 GMT https://pypi.org/project/corticalfields/0.1.5/ Geodesic-aware Gaussian Process normative modeling on cortical surfaces with spectral shape descriptors, Bayesian analysis, and information-theoretic surprise maps. r.debona@ufrj.br Fri, 27 Mar 2026 22:58:59 GMT https://pypi.org/project/corticalfields/0.1.3/ Geodesic-aware Gaussian Process normative modeling on cortical surfaces with spectral shape descriptors, Bayesian analysis, and information-theoretic surprise maps. r.debona@ufrj.br Wed, 25 Mar 2026 08:58:19 GMT https://pypi.org/project/corticalfields/0.1.1/ Geodesic-aware Gaussian Process normative modeling on cortical surfaces with spectral shape descriptors and information-theoretic surprise maps. r.debona@ufrj.br Mon, 23 Mar 2026 18:22:37 GMT