10 citations · 14 across the 3 of their papers we have counts for
3 papers
Recursive Variational Autoencoders for 3D Blood Vessel Generative Modeling
Paula Feldman, Miguel Fainstein, Viviana Siless +2
Anatomical trees play an important role in clinical diagnosis and treatment planning. Yet, accurately representing these structures poses significant challenges owing to their intr…
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
Miguel Fainstein, Viviana Siless, Emmanuel Iarussi
In recent years, there has been a growing interest in training Neural Networks to approximate Unsigned Distance Fields (UDFs) for representing open surfaces in the context of 3D re…
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
Paula Feldman, Miguel Fainstein, Viviana Siless +2
We present a data-driven generative framework for synthesizing blood vessel 3D geometry. This is a challenging task due to the complexity of vascular systems, which are highly vari…