Dinomais, M.
* 2022: On the relevance of edge-conditioned convolution for GNN-based semantic image segmentation using spatial relationships
Dinopoulou, V.
* 2015: State-of-the-art and -practice review of public transport priority strategies
Dinov, I.[Ivo]
* 2016: Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures, A
Dinov, I.D.[Ivo D.]
* 2007: Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach
* 2007: Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging
* 2008: Anisotropic Laplace-Beltrami eigenmaps: Bridging Reeb graphs and skeletons
* 2008: Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
* 2008: Hamilton-Jacobi Skeleton on Cortical Surfaces
* 2009: Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement
* 2009: Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors
* 2009: Wavelet-Based Representation of Biological Shapes
* 2010: Computational Model of Multidimensional Shape, A
* 2010: Diffeomorphic sulcal shape analysis for cortical surface registration
* 2010: Nonlinear Elasticity Registration and Sobolev Gradients
* 2010: Robust Surface Reconstruction via Laplace-Beltrami Eigen-Projection and Boundary Deformation
* 2011: Fast edge-filtered image upsampling
* 2012: Diffeomorphic Sulcal Shape Analysis on the Cortex
* 2014: Fast Local Trust Region Technique for Diffusion Tensor Registration Using Exact Reorientation and Regularization
* 2018: 3D Cell Nuclear Morphology: Microscopy Imaging Dataset and Voxel-Based Morphometry Classification Results
Includes: Dinov, I.D.[Ivo D.] Dinov, I.D.
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