Copertina

Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rygiel, Patryk, Alblas, Dieuwertje, Brune, Christoph, Yeung, Kak Khee, Wolterink, Jelmer M.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations
di: Özer, Caner, et al.
Pubblicazione: (2025)

Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces
di: Alblas, Dieuwertje, et al.
Pubblicazione: (2025)

Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation
di: Rygiel, Patryk, et al.
Pubblicazione: (2025)

Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models
di: Rygiel, Patryk, et al.
Pubblicazione: (2025)

Estimation of FFR in coronary arteries with deep learning
di: Rygiel, Patryk
Pubblicazione: (2024)

Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates
di: Rygiel, Patryk, et al.
Pubblicazione: (2026)

SegReg: Latent Space Regularization for Improved Medical Image Segmentation
di: Vaish, Puru, et al.
Pubblicazione: (2026)

Knowledge Distillation for Continual Learning of Biomedical Neural Fields
di: Visser, Wouter, et al.
Pubblicazione: (2025)

Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
di: Nannini, Guido, et al.
Pubblicazione: (2025)

Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma
di: Imre, Baris, et al.
Pubblicazione: (2024)

RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation
di: Sun, Zihong, et al.
Pubblicazione: (2023)

Improved Vessel Segmentation with Symmetric Rotation-Equivariant U-Net
di: Zhang, Jiazhen, et al.
Pubblicazione: (2025)

Joint Manifold Learning and Optimal Transport for Dynamic Imaging
di: Dummer, Sven, et al.
Pubblicazione: (2025)

Waveform-Specific Performance of Deep Learning-Based Super-Resolution for Ultrasound Contrast Imaging
di: Zorgdrager, Rienk, et al.
Pubblicazione: (2025)

SE(3)-Equivariant and Noise-Invariant 3D Rigid Motion Tracking in Brain MRI
di: Billot, Benjamin, et al.
Pubblicazione: (2023)

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

CoNeS: Conditional neural fields with shift modulation for multi-sequence MRI translation
di: Chen, Yunjie, et al.
Pubblicazione: (2023)

Vestibular schwannoma growth prediction from longitudinal MRI by time conditioned neural fields
di: Chen, Yunjie, et al.
Pubblicazione: (2024)

Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis
di: Bonazzi, Pietro, et al.
Pubblicazione: (2023)

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

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

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

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

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

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

Snake with Shifted Window: Learning to Adapt Vessel Pattern for OCTA Segmentation
di: Chen, Xinrun, et al.
Pubblicazione: (2024)

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

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
di: Ouyang, Yihao, et al.
Pubblicazione: (2025)

When Experts Disagree: Characterizing Annotator Variability for Vessel Segmentation in DSA Images
di: Geshvadi, M., et al.
Pubblicazione: (2025)

SPIRONet: Spatial-Frequency Learning and Topological Channel Interaction Network for Vessel Segmentation
di: Huang, De-Xing, et al.
Pubblicazione: (2024)

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

VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA
di: Iltaf, Adnan, et al.
Pubblicazione: (2025)

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

Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
di: Chen, Ruoyu, et al.
Pubblicazione: (2024)

Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection
di: La, Tran-Vu, et al.
Pubblicazione: (2024)

High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation
di: Ming, Ying, et al.
Pubblicazione: (2025)

A Self-training Framework for Semi-supervised Pulmonary Vessel Segmentation and Its Application in COPD
di: Zhao, Shuiqing, et al.
Pubblicazione: (2025)

Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing
di: Kareem, Daniya Najiha Abdul, et al.
Pubblicazione: (2024)

Contrast-Invariant Self-supervised Segmentation for Quantitative Placental MRI
di: Zhong, Xinliu, et al.
Pubblicazione: (2025)

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction
di: Song, Dongning, et al.
Pubblicazione: (2024)