5 citations · 8 across the 5 of their papers we have counts for
6 papers
The Antipodal Method: Fast, Accurate, and Robust 3D Generalized Winding Numbers
Cedric Martens, Philip Trettner, Mikhail Bessmeltsev
Generalized winding numbers provide a robust measure of point insidedness for 3D surfaces - whether open, self-intersecting, or non-manifold - and are central to numerous geometry…
One-Shot Method for Computing Generalized Winding Numbers
Cedric Martens, Mikhail Bessmeltsev
The generalized winding number is an essential part of the geometry processing toolkit, allowing to quantify how much a given point is inside a surface, even when the surface has b…
Frenet-Serret Frame-based Decomposition for Part Segmentation of 3D Curvilinear Structures
Leslie Gu, Jason Ken Adhinarta, Mikhail Bessmeltsev +7
Accurately segmenting 3D curvilinear structures in medical imaging remains challenging due to their complex geometry and the scarcity of diverse, large-scale datasets for algorithm…
Volumetric Parameterization of the Placenta to a Flattened Template
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev +3
We present a volumetric mesh-based algorithm for parameterizing the placenta to a flattened template to enable effective visualization of local anatomy and function. MRI shows pote…
Learning Manifold Patch-Based Representations of Man-Made Shapes
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
Choosing the right representation for geometry is crucial for making 3D models compatible with existing applications. Focusing on piecewise-smooth man-made shapes, we propose a new…
Placental Flattening via Volumetric Parameterization
S. Mazdak Abulnaga, Esra Abaci Turk, Mikhail Bessmeltsev +3
We present a volumetric mesh-based algorithm for flattening the placenta to a canonical template to enable effective visualization of local anatomy and function. Monitoring placent…