ArticleNeuroImage2023
DomainATM: Domain adaptation toolbox for medical data analysis.
Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Improving Generalization of Deep Learning for Glaucoma Classification Under Real-World Domain Shift via Unsupervised Domain Adaptation.Translational vision science & technology · 2026Article
- Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation.IEEE transactions on bio-medical engineering · 2026Review
- Evaluation of the reliability of markerless tumor tracking with single-energy and dual-energy imaging using machine learning.Journal of applied clinical medical physics · 2026Article
- Unpaired volumetric harmonization of brain MRI with conditional latent diffusion.Medical image analysis · 2026Article
- Deep learning-based automatic segmentation of cerebral infarcts on diffusion MRI.Scientific reports · 2025Article
- Disentangled latent energy-based style translation: An image-level structural MRI harmonization framework.Neural networks : the official journal of the International Neural Network Society · 2025Article
- Federated learning for medical image analysis: A survey.Pattern recognition · 2024Article
- Source-free domain transfer algorithm with reduced style sensitivity for medical image segmentation.PloS one · 2024Article
- Unsupervised contrastive graph learning for resting-state functional MRI analysis and brain disorder detection.Human brain mapping · 2023Article
- Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation.Machine learning in medical imaging. MLMI (Workshop) · 2023Article
- Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- DSMRI: Domain Shift Analyzer for Multi-Center MRI Datasets.Diagnostics (Basel, Switzerland) · 2023Article
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Authors and funding
2 authors.
Funding
Abstract
Domain adaptation (DA) is an important technique for modern machine learning-based medical data analysis, which aims at reducing distribution differences between different medical datasets. A proper domain adaptation method can significantly enhance the statistical power by pooling data acquired from multiple sites/centers. To this end, we have developed the Domain Adaptation Toolbox for Medical data analysis (DomainATM) - an open-source software package designed for fast facilitation and easy customization of domain adaptation methods for medical data analysis. The DomainATM is implemented in MATLAB with a user-friendly graphical interface, and it consists of a collection of popular data adaptation algorithms that have been extensively applied to medical image analysis and computer vision. With DomainATM, researchers are able to facilitate fast feature-level and image-level adaptation, visualization and performance evaluation of different adaptation methods for medical data analysis. More importantly, the DomainATM enables the users to develop and test their own adaptation methods through scripting, greatly enhancing its utility and extensibility. An overview characteristic and usage of DomainATM is presented and illustrated with three example experiments, demonstrating its effectiveness, simplicity, and flexibility. The software, source code, and manual are available online.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.