Cover Image

Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Elsayed, Nazik, Osman, Yousuf Babiker M., Li, Cheng, Zhang, Jiong, Wang, Shanshan
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
by: Diakite, Alou, et al.
Published: (2024)

Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study
by: Sadegheih, Yousef, et al.
Published: (2024)

Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning
by: Sadegheih, Yousef, et al.
Published: (2025)

Deep Learning for Automated Wound Classification And Segmentation
by: Jahangir, Md. Zihad Bin, et al.
Published: (2024)

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

Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
by: Liang, Guoyan, et al.
Published: (2025)

Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
by: Sadegheih, Yousef, et al.
Published: (2026)

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
by: Qayyum, Abdul, et al.
Published: (2024)

Deep Generative Models-Assisted Automated Labeling for Electron Microscopy Images Segmentation
by: Yuan, Wenhao, et al.
Published: (2024)

Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
by: Sourabh, Suman, et al.
Published: (2024)

High-Resolution Magnetic Particle Imaging System Matrix Recovery Using a Vision Transformer with Residual Feature Network
by: Khair, Abuobaida M., et al.
Published: (2025)

Deep Learning-Based Automated Post-Operative Gross Tumor Volume Segmentation in Glioblastoma Patients
by: Muthusivarajan, Rajarajeswari, et al.
Published: (2024)

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
by: Zhang, Zhenxuan, et al.
Published: (2025)

Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation
by: Song, Pengwu, et al.
Published: (2025)

Advanced Deep Learning Techniques for Automated Segmentation of Type B Aortic Dissections
by: Xu, Hao, et al.
Published: (2025)

LiNUS: Lightweight Automatic Segmentation of Deep Brain Nuclei for Real-Time DBS Surgery
by: Zhang, Shuo, et al.
Published: (2026)

Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging
by: Qayyum, Abdul, et al.
Published: (2025)

Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
by: Vajiram, Jayanthi, et al.
Published: (2024)

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

Dual Agreement Consistency Learning with Foundation Models for Semi-Supervised Fetal Heart Ultrasound Segmentation and Diagnosis
by: Wang, Fangyijie, et al.
Published: (2026)

Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation
by: Han, Hua, et al.
Published: (2024)

A Deep Convolutional Network to Extract Real-Time Landmarks for UAV Navigation
by: Tokluoglu, Osman, et al.
Published: (2026)

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
by: Shoeibi, Afshin, et al.
Published: (2020)

Modeling the Label Distributions for Weakly-Supervised Semantic Segmentation
by: Wu, Linshan, et al.
Published: (2024)

DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography
by: Xue, Zhihao, et al.
Published: (2024)

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

The R-Vessel-X Project
by: Affane, Abir, et al.
Published: (2025)

Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends
by: Ghasemi, Nafiseh, et al.
Published: (2024)

AMGFormer: Adaptive Multi-Granular Transformer for Brain Tumor Segmentation with Missing Modalities
by: Guo, Chengxiang, et al.
Published: (2026)

MetaQAP - A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment
by: Ahmed, Nisar, et al.
Published: (2025)

Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)

Deep Learning-Based Desikan-Killiany Parcellation of the Brain Using Diffusion MRI
by: Sadegheih, Yousef, et al.
Published: (2025)

Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
by: Eichhorn, Hannah, et al.
Published: (2024)

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings
by: Fadugba, Jeremiah, et al.
Published: (2025)

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

Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
by: Schwehr, Zachary, et al.
Published: (2023)

Validation of Fully-Automated Deep Learning-Based Fibroglandular Tissue Segmentation for Efficient and Reliable Quantitation of Background Parenchymal Enhancement in Breast MRI
by: Kuo, Yu-Tzu, et al.
Published: (2025)

Graph-Based Multi-Modal Light-weight Network for Adaptive Brain Tumor Segmentation
by: Huo, Guohao, et al.
Published: (2025)

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts
by: Zhang, Xinru, et al.
Published: (2024)

Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
by: Zhang, Feifei, et al.
Published: (2025)