Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387211735> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4387211735 endingPage "76" @default.
- W4387211735 startingPage "67" @default.
- W4387211735 abstract "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 variating in shape, size, and structure. Existing model-based methods provide some degree of control and variation in the structures produced, but fail to capture the diversity of actual anatomical data. We developed VesselVAE, a recursive variational Neural Network that fully exploits the hierarchical organization of the vessel and learns a low-dimensional manifold encoding branch connectivity along with geometry features describing the target surface. After training, the VesselVAE latent space can be sampled to generate new vessel geometries. To the best of our knowledge, this work is the first to utilize this technique for synthesizing blood vessels. We achieve similarities of synthetic and real data for radius (.97), length (.95), and tortuosity (.96). By leveraging the power of deep neural networks, we generate 3D models of blood vessels that are both accurate and diverse, which is crucial for medical and surgical training, hemodynamic simulations, and many other purposes." @default.
- W4387211735 created "2023-10-01" @default.
- W4387211735 creator A5007211221 @default.
- W4387211735 creator A5021744956 @default.
- W4387211735 creator A5058156675 @default.
- W4387211735 creator A5058880838 @default.
- W4387211735 creator A5092442109 @default.
- W4387211735 date "2023-01-01" @default.
- W4387211735 modified "2023-10-08" @default.
- W4387211735 title "VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis" @default.
- W4387211735 cites W1540798880 @default.
- W4387211735 cites W1974668242 @default.
- W4387211735 cites W2000341187 @default.
- W4387211735 cites W2008150751 @default.
- W4387211735 cites W2032325716 @default.
- W4387211735 cites W2036036384 @default.
- W4387211735 cites W2044290154 @default.
- W4387211735 cites W2079137419 @default.
- W4387211735 cites W2136550549 @default.
- W4387211735 cites W2599472723 @default.
- W4387211735 cites W2963601843 @default.
- W4387211735 cites W2963627347 @default.
- W4387211735 cites W2986615800 @default.
- W4387211735 cites W3035050475 @default.
- W4387211735 cites W3035168834 @default.
- W4387211735 cites W3047625747 @default.
- W4387211735 cites W3096831136 @default.
- W4387211735 cites W3112980510 @default.
- W4387211735 cites W3136970255 @default.
- W4387211735 cites W4226126765 @default.
- W4387211735 cites W4318213687 @default.
- W4387211735 cites W4383753323 @default.
- W4387211735 doi "https://doi.org/10.1007/978-3-031-43907-0_7" @default.
- W4387211735 hasPublicationYear "2023" @default.
- W4387211735 type Work @default.
- W4387211735 citedByCount "0" @default.
- W4387211735 crossrefType "book-chapter" @default.
- W4387211735 hasAuthorship W4387211735A5007211221 @default.
- W4387211735 hasAuthorship W4387211735A5021744956 @default.
- W4387211735 hasAuthorship W4387211735A5058156675 @default.
- W4387211735 hasAuthorship W4387211735A5058880838 @default.
- W4387211735 hasAuthorship W4387211735A5092442109 @default.
- W4387211735 hasConcept C11413529 @default.
- W4387211735 hasConcept C127413603 @default.
- W4387211735 hasConcept C154945302 @default.
- W4387211735 hasConcept C162324750 @default.
- W4387211735 hasConcept C185250623 @default.
- W4387211735 hasConcept C187320778 @default.
- W4387211735 hasConcept C187736073 @default.
- W4387211735 hasConcept C2780451532 @default.
- W4387211735 hasConcept C41008148 @default.
- W4387211735 hasConcept C50644808 @default.
- W4387211735 hasConcept C529865628 @default.
- W4387211735 hasConcept C6648577 @default.
- W4387211735 hasConcept C78519656 @default.
- W4387211735 hasConceptScore W4387211735C11413529 @default.
- W4387211735 hasConceptScore W4387211735C127413603 @default.
- W4387211735 hasConceptScore W4387211735C154945302 @default.
- W4387211735 hasConceptScore W4387211735C162324750 @default.
- W4387211735 hasConceptScore W4387211735C185250623 @default.
- W4387211735 hasConceptScore W4387211735C187320778 @default.
- W4387211735 hasConceptScore W4387211735C187736073 @default.
- W4387211735 hasConceptScore W4387211735C2780451532 @default.
- W4387211735 hasConceptScore W4387211735C41008148 @default.
- W4387211735 hasConceptScore W4387211735C50644808 @default.
- W4387211735 hasConceptScore W4387211735C529865628 @default.
- W4387211735 hasConceptScore W4387211735C6648577 @default.
- W4387211735 hasConceptScore W4387211735C78519656 @default.
- W4387211735 hasLocation W43872117351 @default.
- W4387211735 hasOpenAccess W4387211735 @default.
- W4387211735 hasPrimaryLocation W43872117351 @default.
- W4387211735 hasRelatedWork W2081647779 @default.
- W4387211735 hasRelatedWork W2380313759 @default.
- W4387211735 hasRelatedWork W2386058197 @default.
- W4387211735 hasRelatedWork W2386387936 @default.
- W4387211735 hasRelatedWork W2386767533 @default.
- W4387211735 hasRelatedWork W2392110728 @default.
- W4387211735 hasRelatedWork W3128051602 @default.
- W4387211735 hasRelatedWork W4237750775 @default.
- W4387211735 hasRelatedWork W4379115344 @default.
- W4387211735 hasRelatedWork W1629725936 @default.
- W4387211735 isParatext "false" @default.
- W4387211735 isRetracted "false" @default.
- W4387211735 workType "book-chapter" @default.