Copertina

Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Thaler, Franz, Stern, Darko, Plank, Gernot, Urschler, Martin
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation
di: Thaler, Franz, et al.
Pubblicazione: (2025)

Multi-Source and Multi-Sequence Myocardial Pathology Segmentation Using a Cascading Refinement CNN
di: Thaler, Franz, et al.
Pubblicazione: (2024)

LA-CaRe-CNN: Cascading Refinement CNN for Left Atrial Scar Segmentation
di: Thaler, Franz, et al.
Pubblicazione: (2025)

Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
di: Viti, Bruno, et al.
Pubblicazione: (2024)

Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
di: Hudler, Michael, et al.
Pubblicazione: (2026)

More is Better: Deep Domain Adaptation with Multiple Sources
di: Zhao, Sicheng, et al.
Pubblicazione: (2024)

Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization
di: Enomoto, Shohei
Pubblicazione: (2025)

Domain Generalization by Rejecting Extreme Augmentations
di: Aminbeidokhti, Masih, et al.
Pubblicazione: (2023)

Domain-Generalizable Multiple-Domain Clustering
di: Rozner, Amit, et al.
Pubblicazione: (2023)

Federated Joint Learning for Domain and Class Generalization
di: Xu, Haoran, et al.
Pubblicazione: (2026)

Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation
di: Lee, Huisoo, et al.
Pubblicazione: (2025)

Asymmetric Co-Training for Source-Free Few-Shot Domain Adaptation
di: Li, Gengxu, et al.
Pubblicazione: (2025)

Class-Invariant Test-Time Augmentation for Domain Generalization
di: Lin, Zhicheng, et al.
Pubblicazione: (2025)

Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training
di: Zhang, Wenyu, et al.
Pubblicazione: (2024)

Self-training via Metric Learning for Source-Free Domain Adaptation of Semantic Segmentation
di: Akkaya, Ibrahim Batuhan, et al.
Pubblicazione: (2022)

Restora-Flow: Mask-Guided Image Restoration with Flow Matching
di: Hadzic, Arnela, et al.
Pubblicazione: (2025)

Preserving Domain Generalization in Fine-Tuning via Joint Parameter Selection
di: Pan, Bin, et al.
Pubblicazione: (2025)

Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation
di: Angarano, Simone, et al.
Pubblicazione: (2023)

Topology-Preserving Polygon Augmentation for Segmentation in Structured Visual Domains
di: Laudari, Sudip, et al.
Pubblicazione: (2026)

Semantic-Rearrangement-Based Multi-Level Alignment for Domain Generalized Segmentation
di: Jiao, Guanlong, et al.
Pubblicazione: (2024)

What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context
di: Wang, Jing, et al.
Pubblicazione: (2024)

Generalizing to Unseen Domains with Wasserstein Distributional Robustness under Limited Source Knowledge
di: Wang, Jingge, et al.
Pubblicazione: (2022)

Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
di: Ma, Qinghe, et al.
Pubblicazione: (2024)

Out-of-Domain Robustness via Targeted Augmentations
di: Gao, Irena, et al.
Pubblicazione: (2023)

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
di: Chen, Liang, et al.
Pubblicazione: (2024)

Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
di: Wang, Siqi, et al.
Pubblicazione: (2025)

Towards Integrating Uncertainty for Domain-Agnostic Segmentation
di: Brouwers, Jesse, et al.
Pubblicazione: (2025)

Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?
di: Cekmeceli, Kerem, et al.
Pubblicazione: (2024)

Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
di: Belal, Atif, et al.
Pubblicazione: (2024)

Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation
di: Chopra, Shivang, et al.
Pubblicazione: (2024)

Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation
di: Wang, Yucheng, et al.
Pubblicazione: (2024)

Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
di: Zhang, Zuyu, et al.
Pubblicazione: (2025)

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
di: Wei, Tianxin, et al.
Pubblicazione: (2025)

Exploring Single Domain Generalization of LiDAR-based Semantic Segmentation under Imperfect Labels
di: Kong, Weitong, et al.
Pubblicazione: (2025)

Contrastive Adversarial Training for Unsupervised Domain Adaptation
di: Chen, Jiahong, et al.
Pubblicazione: (2024)

Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels
di: Wang, Kening, et al.
Pubblicazione: (2026)

Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentation
di: Jacovella, Maxime, et al.
Pubblicazione: (2024)

Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
di: Son, Ha Min, et al.
Pubblicazione: (2025)

CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
di: Li, Jindong, et al.
Pubblicazione: (2025)

Robust Object Detection of Underwater Robot based on Domain Generalization
di: Song, Pinhao
Pubblicazione: (2025)