Cover Image

Recursive Variational Autoencoders for 3D Blood Vessel Generative Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feldman, Paula, Fainstein, Miguel, Siless, Viviana, Delrieux, Claudio, Iarussi, Emmanuel
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
by: Feldman, Paula, et al.
Published: (2023)

VesselGPT: Autoregressive Modeling of Vascular Geometry
by: Feldman, Paula, et al.
Published: (2025)

vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
by: Wittmann, Bastian, et al.
Published: (2024)

Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
by: Wittmann, Bastian, et al.
Published: (2024)

Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
by: Fadugba, Jeremiah, et al.
Published: (2024)

DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling
by: Fainstein, Miguel, et al.
Published: (2024)

Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging
by: Khan, Muhammad Ahmed, et al.
Published: (2026)

Wavelet-based Variational Autoencoders for High-Resolution Image Generation
by: Kiruluta, Andrew
Published: (2025)

Learned Image Transmission with Hierarchical Variational Autoencoder
by: Zhang, Guangyi, et al.
Published: (2024)

Variational Autoencoder for Anomaly Detection: A Comparative Study
by: Nguyen, Huy Hoang, et al.
Published: (2024)

Short-Time Fourier Transform for deblurring Variational Autoencoders
by: Dalal, Vibhu
Published: (2024)

3D Vessel Reconstruction from Sparse-View Dynamic DSA Images via Vessel Probability Guided Attenuation Learning
by: Liu, Zhentao, et al.
Published: (2024)

Automated Localization of Blood Vessels in Retinal Images
by: Safarzadeh, Vahid Mohammadi
Published: (2023)

Breaking the Data Barrier: Robust Few-Shot 3D Vessel Segmentation using Foundation Models
by: Yoshihara, Kirato, et al.
Published: (2026)

Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images
by: Faria, Fatema Tuj Johora, et al.
Published: (2024)

Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images
by: Lv, Jiaqi, et al.
Published: (2025)

COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation
by: Shi, Gen, et al.
Published: (2025)

Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes
by: Kebaili, Aghiles, et al.
Published: (2024)

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data
by: García-Ordás, María Teresa, et al.
Published: (2024)

X-GAN: A Generative AI-Powered Unsupervised Model for Main Vessel Segmentation of Glaucoma Screening
by: Huang, Cheng, et al.
Published: (2025)

Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine
by: Lee, In-Gyu, et al.
Published: (2024)

3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
by: Koland, Ethan, et al.
Published: (2025)

4DRGS: 4D Radiative Gaussian Splatting for Efficient 3D Vessel Reconstruction from Sparse-View Dynamic DSA Images
by: Liu, Zhentao, et al.
Published: (2024)

Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study
by: Rais, Khadija, et al.
Published: (2024)

Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
by: Das, Badhan Kumar, et al.
Published: (2025)

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation
by: Rygiel, Patryk, et al.
Published: (2024)

Repeat and Concatenate: 2D to 3D Image Translation with 3D to 3D Generative Modeling
by: Corona-Figueroa, Abril, et al.
Published: (2024)

Retinal Vessel Segmentation via Neuron Programming
by: Wu, Tingting, et al.
Published: (2024)

Methods for evaluating the resolution of 3D data derived from satellite images
by: Selby, Christina, et al.
Published: (2025)

Universal Vessel Segmentation for Multi-Modality Retinal Images
by: Wen, Bo, et al.
Published: (2025)

Retinal Vessel Segmentation with Deep Graph and Capsule Reasoning
by: Wei, Xinxu, et al.
Published: (2024)

Leveraging Frequency Domain Learning in 3D Vessel Segmentation
by: Wang, Xinyuan, et al.
Published: (2024)

Transesophageal Echocardiography Generation using Anatomical Models
by: Oladokun, Emmanuel, et al.
Published: (2024)

DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels
by: Jia, Dengqiang, et al.
Published: (2024)

Resolution Invariant Autoencoder
by: Patel, Ashay, et al.
Published: (2025)

Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
by: Mantripragada, Kiran, et al.
Published: (2022)

Full-scale Representation Guided Network for Retinal Vessel Segmentation
by: Seo, Sunyong, et al.
Published: (2025)

VesselSDF: Distance Field Priors for Vascular Network Reconstruction
by: Esposito, Salvatore, et al.
Published: (2025)

Deep Generative Models for 3D Medical Image Synthesis
by: Friedrich, Paul, et al.
Published: (2024)

Generative 3D Cardiac Shape Modelling for In-Silico Trials
by: Gasparovici, Andrei, et al.
Published: (2024)