ABSTRACT. A novel nonlinear volumetric scale-space framework is pro- posed for multi-scale volumetric data representation. The.

Abstract A novel nonlinear volumetric scale-space framework is proposed for multi-scale volumetric data representation. The problem is formulated as a Bayesian ...

A novel nonlinear volumetric scale-space framework is proposed for multi-scale volumetric data representation. The problem is formulated as a Bayesian least- ...

A novel nonlinear volumetric scale-space framework is proposed for multi-scale volumetric data representation. The problem is formulated as a Bayesian ...

Abstract: A novel nonlinear volumetric scale-space framework is proposed for multi-scale volumetric data representation. The problem is formulated as a ...

Title, Multi-scale 3D representation via volumetric quasi-random scale space ; Publication Type, Conference Paper ; Year of Publication, 2011 ; Authors, Mishra, A.

Oct 1, 2010 · Abstract. A novel nonlinear scale space framework is proposed for the purpose of multi-scale image representation. The scale space decomposition ...

Readers: Everyone. Quasi-Random Scale Space Approach to Robust Keypoint ... Multi-scale 3D representation via volumetric quasi-random scale space · pdf ...

Multi-scale 3D representation via volumetric quasi-random scale space ... scale-space framework is proposed for multi-scale volumetric data representation ...

Dec 17, 2024 · We propose 3D Medical Diffusion (3D MedDiffusion), a large-scale 3D generative model designed for high-fidelity generation of medical images.