Copertina

Universal Medical Imaging Model for Domain Generalization with Data Privacy

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Radwan, Ahmed, Osman, Islam, Shehata, Mohamed S.
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

MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks
di: Gupta, Anubhav, et al.
Pubblicazione: (2024)

Complex Style Image Transformations for Domain Generalization in Medical Images
di: Spanos, Nikolaos, et al.
Pubblicazione: (2024)

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
di: Codella, Noel C. F., et al.
Pubblicazione: (2024)

Advancing Healthcare: Innovative ML Approaches for Improved Medical Imaging in Data-Constrained Environments
di: Amin, Al, et al.
Pubblicazione: (2024)

Prompt-driven Latent Domain Generalization for Medical Image Classification
di: Yan, Siyuan, et al.
Pubblicazione: (2024)

Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
di: Zhang, Li, et al.
Pubblicazione: (2024)

De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
di: Rempe, Moritz, et al.
Pubblicazione: (2024)

Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
di: Shen, Zhiqiang, et al.
Pubblicazione: (2025)

MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
di: Liu, Zhaoshan, et al.
Pubblicazione: (2023)

Enhancing Medical Image Analysis through Geometric and Photometric transformations
di: Rais, Khadija, et al.
Pubblicazione: (2025)

Segmenting Medical Images with Limited Data
di: Liua, Zhaoshan, et al.
Pubblicazione: (2024)

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

Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
di: Bougourzi, Fares, et al.
Pubblicazione: (2024)

Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis
di: Lee, Haebom, et al.
Pubblicazione: (2026)

Empowering Healthcare through Privacy-Preserving MRI Analysis
di: Amin, Al, et al.
Pubblicazione: (2024)

Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
di: Ruan, Jiacheng, et al.
Pubblicazione: (2023)

Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging
di: Elmekki, Hanae, et al.
Pubblicazione: (2025)

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
di: Jiang, Hongxu, et al.
Pubblicazione: (2024)

Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans
di: Hoque, Md Mahmudul, et al.
Pubblicazione: (2026)

D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical Images
di: Bougourzi, Fares, et al.
Pubblicazione: (2024)

Wave-GMS: Lightweight Multi-Scale Generative Model for Medical Image Segmentation
di: Ahmed, Talha, et al.
Pubblicazione: (2025)

Generative Enhancement for 3D Medical Images
di: Zhu, Lingting, et al.
Pubblicazione: (2024)

Domain Generalization for Medical Image Analysis: A Review
di: Yoon, Jee Seok, et al.
Pubblicazione: (2023)

DB-SAM: Delving into High Quality Universal Medical Image Segmentation
di: Qin, Chao, et al.
Pubblicazione: (2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis
di: Li, Liu, et al.
Pubblicazione: (2024)

Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data
di: Feng, Yinqiu, et al.
Pubblicazione: (2024)

Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images
di: Tupper, Adam, et al.
Pubblicazione: (2024)

Temporal Evolution of Knee Osteoarthritis: A Diffusion-based Morphing Model for X-ray Medical Image Synthesis
di: Wang, Zhe, et al.
Pubblicazione: (2024)

Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution
di: Aghelan, Alireza, et al.
Pubblicazione: (2022)

CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
di: Abbas, Asmaa, et al.
Pubblicazione: (2025)

Diffusion-Based Approaches in Medical Image Generation and Analysis
di: Nafi, Abdullah al Nomaan, et al.
Pubblicazione: (2024)

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
di: Shirokikh, Boris, et al.
Pubblicazione: (2025)

Performance Estimation for Supervised Medical Image Segmentation Models on Unlabeled Data Using UniverSeg
di: Zou, Jingchen, et al.
Pubblicazione: (2025)

Cross-conditioned Diffusion Model for Medical Image to Image Translation
di: Xing, Zhaohu, et al.
Pubblicazione: (2024)

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

Foundation AI Model for Medical Image Segmentation
di: Bao, Rina, et al.
Pubblicazione: (2024)

3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-quality Medical Image Generation
di: Wang, Haoshen, et al.
Pubblicazione: (2024)

Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies
di: Jian, Bailiang, et al.
Pubblicazione: (2025)

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation
di: Lyu, Pengfei, et al.
Pubblicazione: (2025)

A Systematic Review of Generalization Research in Medical Image Classification
di: Matta, Sarah, et al.
Pubblicazione: (2024)