De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient Privacy
Fuente:
arXiv
Saved in:
| Main Authors: | Rempe, Moritz, Heine, Lukas, Seibold, Constantin, Hörst, Fabian, Kleesiek, Jens |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
by: Kalisch, Hamza, et al.
Published: (2024)
by: Kalisch, Hamza, et al.
Published: (2024)
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
by: Rempe, Moritz, et al.
Published: (2025)
by: Rempe, Moritz, et al.
Published: (2025)
Generative Modeling of Complex-Valued Brain MRI Data
by: Schlimbach, Marco, et al.
Published: (2026)
by: Schlimbach, Marco, et al.
Published: (2026)
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
by: Jaus, Alexander, et al.
Published: (2024)
by: Jaus, Alexander, et al.
Published: (2024)
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction
by: Lackner, Michael, et al.
Published: (2024)
by: Lackner, Michael, et al.
Published: (2024)
Universal Medical Imaging Model for Domain Generalization with Data Privacy
by: Radwan, Ahmed, et al.
Published: (2024)
by: Radwan, Ahmed, et al.
Published: (2024)
MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
by: Ulrich, Constantin, et al.
Published: (2023)
by: Ulrich, Constantin, et al.
Published: (2023)
MedicoSAM: Robust Improvement of SAM for Medical Imaging
by: Archit, Anwai, et al.
Published: (2025)
by: Archit, Anwai, et al.
Published: (2025)
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
by: Roy, Saikat, et al.
Published: (2023)
by: Roy, Saikat, et al.
Published: (2023)
Comprehensive Review of Reinforcement Learning for Medical Ultrasound Imaging
by: Elmekki, Hanae, et al.
Published: (2025)
by: Elmekki, Hanae, et al.
Published: (2025)
Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)
by: Liua, Zhaoshan, et al.
Published: (2024)
Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation
by: Huang, Zhengyong, et al.
Published: (2026)
by: Huang, Zhengyong, et al.
Published: (2026)
Keyed Nonlinear Transform: Lightweight Privacy-Enhancing Feature Sharing for Medical Image Analysis
by: Lee, Haebom, et al.
Published: (2026)
by: Lee, Haebom, et al.
Published: (2026)
Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation
by: Ferreira, André, et al.
Published: (2025)
by: Ferreira, André, et al.
Published: (2025)
Taming Vision-Language Models for Medical Image Analysis: A Comprehensive Review
by: Lin, Haoneng, et al.
Published: (2025)
by: Lin, Haoneng, et al.
Published: (2025)
Learned Image Compression for HE-stained Histopathological Images via Stain Deconvolution
by: Fischer, Maximilian, et al.
Published: (2024)
by: Fischer, Maximilian, et al.
Published: (2024)
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
by: Götz, Michael, et al.
Published: (2024)
by: Götz, Michael, et al.
Published: (2024)
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
by: Reithmeir, Anna, et al.
Published: (2024)
by: Reithmeir, Anna, et al.
Published: (2024)
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
by: Clunie, David A., et al.
Published: (2023)
by: Clunie, David A., et al.
Published: (2023)
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
by: Heidari, Moein, et al.
Published: (2024)
by: Heidari, Moein, et al.
Published: (2024)
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation
by: Jiangtao, Wang, et al.
Published: (2025)
by: Jiangtao, Wang, et al.
Published: (2025)
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
by: Kumari, Pratibha, et al.
Published: (2023)
by: Kumari, Pratibha, et al.
Published: (2023)
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
by: Kirchhoff, Yannick, et al.
Published: (2024)
by: Kirchhoff, Yannick, et al.
Published: (2024)
Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data
by: Feng, Yinqiu, et al.
Published: (2024)
by: Feng, Yinqiu, et al.
Published: (2024)
Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images
by: Tupper, Adam, et al.
Published: (2024)
by: Tupper, Adam, et al.
Published: (2024)
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)
by: Gao, Yifan, et al.
Published: (2023)
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge
by: Kovacs, Balint, et al.
Published: (2024)
by: Kovacs, Balint, et al.
Published: (2024)
Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting
by: Rokuss, Maximilian, et al.
Published: (2024)
by: Rokuss, Maximilian, et al.
Published: (2024)
Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation
by: Cassidy, Bill, et al.
Published: (2025)
by: Cassidy, Bill, et al.
Published: (2025)
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods
by: Marinov, Zdravko, et al.
Published: (2024)
by: Marinov, Zdravko, et al.
Published: (2024)
Semi-Supervised Disease Classification based on Limited Medical Image Data
by: Zhang, Yan, et al.
Published: (2024)
by: Zhang, Yan, et al.
Published: (2024)
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
by: Kebaili, Aghiles, et al.
Published: (2023)
by: Kebaili, Aghiles, et al.
Published: (2023)
How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation
by: Ferreira, André, et al.
Published: (2024)
by: Ferreira, André, et al.
Published: (2024)
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
by: Marinov, Zdravko, et al.
Published: (2023)
by: Marinov, Zdravko, et al.
Published: (2023)
AI, Entrepreneurs, and Privacy: Deep Learning Outperforms Humans in Detecting Entrepreneurs from Image Data
by: Obschonka, Martin, et al.
Published: (2024)
by: Obschonka, Martin, et al.
Published: (2024)
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image Classification
by: EL-Assiouti, Omar S., et al.
Published: (2024)
by: EL-Assiouti, Omar S., et al.
Published: (2024)
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes
by: Zhang, Li, et al.
Published: (2024)
by: Zhang, Li, et al.
Published: (2024)
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
by: Liu, Zhaoshan, et al.
Published: (2023)
by: Liu, Zhaoshan, et al.
Published: (2023)
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey
by: Yang, Hao, et al.
Published: (2025)
by: Yang, Hao, et al.
Published: (2025)
A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
by: Zubair, Muhammad, et al.
Published: (2025)
by: Zubair, Muhammad, et al.
Published: (2025)
Similar Items
-
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
by: Kalisch, Hamza, et al.
Published: (2024) -
PhaseGen: A Diffusion-Based Approach for Complex-Valued MRI Data Generation
by: Rempe, Moritz, et al.
Published: (2025) -
Generative Modeling of Complex-Valued Brain MRI Data
by: Schlimbach, Marco, et al.
Published: (2026) -
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
by: Jaus, Alexander, et al.
Published: (2024) -
A Semi-automatic Cranial Implant Design Tool Based on Rigid ICP Template Alignment and Voxel Space Reconstruction
by: Lackner, Michael, et al.
Published: (2024)