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Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

https://doi.org/10.1016/j.ejmp.2021.02.007
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LRF-CNN: An explainable lightweight receptive field-based CNN for colorectal cancer histopathological image classification
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The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms
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Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
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Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design
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Diegif: An efficient and secured DICOM to EGIF conversion framework for confidentiality in machine learning training
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Artificial Intelligence for Radiation Oncology Applications Using Public Datasets
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Regulatory Aspects of the Use of Artificial Intelligence Medical Software
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Towards real time AI-augmented fluorescence-guided surgery: Evidence and translational readiness across neurosurgical, gynaecological, and thoracic oncology
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Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact
inferred← citeshttps://doi.org/10.1038/s41598-026-44098-zopenalex-snapshot
A framework for a national cancer imaging repository in Nigeria
inferred← citeshttps://doi.org/10.1038/s41746-024-01012-zopenalex-snapshot
Diagnostic performance of artificial intelligence-assisted PET imaging for Parkinson’s disease: a systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1061/jccee5.cpeng-7313openalex-snapshot
OpenConstruction: A Systematic Synthesis of Open Visual Data Sets for Data-Centric Intelligence in Construction Monitoring
inferred← citeshttps://doi.org/10.1080/08820538.2023.2293030openalex-snapshot
Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls
inferred← citeshttps://doi.org/10.1080/19424396.2023.2195585openalex-snapshot
Artificial Intelligence Applications in Orthodontics
inferred← citeshttps://doi.org/10.1088/1361-6560/ac678aopenalex-snapshot
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
inferred← citeshttps://doi.org/10.1093/bioadv/vbac079openalex-snapshot
ImaGene: a web-based software platform for tumor radiogenomic evaluation and reporting
inferred← citeshttps://doi.org/10.1101/2024.09.19.24313976openalex-snapshot
MRISeqClassifier: A Deep Learning Toolkit for Precise MRI Sequence Classification
inferred← citeshttps://doi.org/10.1108/cms-07-2024-0540openalex-snapshot
Risk identification, quantification and governance strategies for generative artificial intelligence service
inferred← citeshttps://doi.org/10.1109/access.2023.3331118openalex-snapshot
Biometric Recognition in 3D Medical Images: A Survey
inferred← citeshttps://doi.org/10.1109/access.2025.3620427openalex-snapshot
A Fair Comparison in Deep Learning-Based QSM Reconstruction
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825353openalex-snapshot
AI-Ready Multimodal Data Pipeline to Enrich Cancer Care
inferred← citeshttps://doi.org/10.1109/bmeicon53485.2021.9745251openalex-snapshot
Artificial Computed Tomography Images with Progressively Growing Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/bmsb65076.2025.11165552openalex-snapshot
Intelligent Semantic Extraction and Transformation Pipeline for Large-Scale Multimedia Data Processing
inferred← citeshttps://doi.org/10.1109/cts67336.2025.11196701openalex-snapshot
Semi-Automated Method for Annotating Biomedical Images Using Artificial Intelligence Technologies
inferred← citeshttps://doi.org/10.1109/flics70075.2026.11621936openalex-snapshot
Open-Source Federated Learning Platform Adapted for DICOM Medical Image Processing: Application to Breast Cancer Detection
inferred← citeshttps://doi.org/10.1109/icabme59496.2023.10293096openalex-snapshot
3D Multimodal Visualization of Medical Data: Applied to Perfusion-Weighted MRI
inferred← citeshttps://doi.org/10.1109/icscds65426.2025.11166785openalex-snapshot
Evolution of ETL Tools: Trends and Insights from On-Premises to Cloud Solutions
inferred← citeshttps://doi.org/10.1109/ieecon68065.2026.11707066openalex-snapshot
Survival Prediction in Elderly UTI Patients using GRU and LSTM Networks with Robust Data Preparation
inferred← citeshttps://doi.org/10.1117/1.jmi.10.6.061403openalex-snapshot
medigan: a Python library of pretrained generative models for medical image synthesis
inferred← citeshttps://doi.org/10.1136/egastro-2023-100002openalex-snapshot
Application of artificial intelligence in the diagnosis of hepatocellular carcinoma
inferred← citeshttps://doi.org/10.1148/ryai.230006openalex-snapshot
Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence
inferred← citeshttps://doi.org/10.1155/2021/9025470openalex-snapshot
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
inferred← citeshttps://doi.org/10.11591/ijece.v13i4.pp4076-4086openalex-snapshot
Reinforcing optimization enabled interactive approach for liver tumor extraction in computed tomography images
inferred← citeshttps://doi.org/10.1177/11795972241278907openalex-snapshot
Breast Cancer Diagnosis Using Virtualization and Extreme Learning Algorithm Based on Deep Feed Forward Networks
inferred← citeshttps://doi.org/10.1177/26317745241306562openalex-snapshot
Application of artificial intelligence in gastrointestinal endoscopy in Vietnam: a narrative review
inferred← citeshttps://doi.org/10.1186/s13244-024-01833-2openalex-snapshot
Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology
inferred← citeshttps://doi.org/10.1186/s41747-022-00281-1openalex-snapshot
Position of the AI for Health Imaging (AI4HI) network on metadata models for imaging biobanks
inferred← citeshttps://doi.org/10.1186/s41747-023-00408-yopenalex-snapshot
Image annotation and curation in radiology: an overview for machine learning practitioners
inferred← citeshttps://doi.org/10.1227/ons.0000000000001217openalex-snapshot
Percutaneous Screw Distraction for Anatomic Restoration: Case Series
inferred← citeshttps://doi.org/10.21105/joss.03632openalex-snapshot
CleanX: A Python library for data cleaning of large sets of radiology images
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3364743/v1openalex-snapshot
Factors Influencing Open Science Participation Through Research Data Sharing and Reuse Among Researchers: a Systematic Literature Review
inferred← citeshttps://doi.org/10.2174/0123520965407792250811093550openalex-snapshot
Artificial Intelligence and Machine Learning Approaches in Radiology for Medical Imaging Diagnostics
inferred← citeshttps://doi.org/10.2196/37236openalex-snapshot
Bridging the European Data Sharing Divide in Genomic Science
inferred← citeshttps://doi.org/10.2196/63834openalex-snapshot
Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study
inferred← citeshttps://doi.org/10.2196/73884openalex-snapshot
Process for Quality Management of Electronic Medical Records–Based Data: Case Study Using Real Colorectal Cancer Data
inferred← citeshttps://doi.org/10.2196/preprints.73884openalex-snapshot
A Process for Quality Management of EMR-Based Data: A Case Study Using Real Colorectal Cancer Data (Preprint)
inferred← citeshttps://doi.org/10.24203/ajas.v10i3.6998openalex-snapshot
Deep Learning Techniques for COVID-19 Detection Based on Chest X-ray and CT-scan Images: A Short Review and Future Perspective
inferred← citeshttps://doi.org/10.26634/jse.19.4.22184openalex-snapshot
Advancements and applications of artificial intelligence in python programming: Trends, challenges, and future directions
inferred← citeshttps://doi.org/10.3233/shti240613openalex-snapshot
Cohort Builder: A Software Pipeline for Generating Patient Cohorts with Predetermined Baseline Characteristics from Medical Records and Raw Ophthalmic Imaging Data
inferred← citeshttps://doi.org/10.3389/fcvm.2022.829512openalex-snapshot
A Collaborative Approach for the Development and Application of Machine Learning Solutions for CMR-Based Cardiac Disease Classification
inferred← citeshttps://doi.org/10.3389/fmed.2025.1563950openalex-snapshot
How life-cycle real-world evidence can bridge evidentiary gaps in precision oncology
inferred← citeshttps://doi.org/10.3389/fmed.2025.1569615openalex-snapshot
Tuberculosis diagnosis using artificial intelligence: current trends and future prospects
inferred← citeshttps://doi.org/10.3389/fonc.2022.742701openalex-snapshot
CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools
inferred← citeshttps://doi.org/10.3389/fonc.2025.1603593openalex-snapshot
Evaluating the impact of different deface algorithms on deep learning segmentation software performance
inferred← citeshttps://doi.org/10.3390/app12084079openalex-snapshot
Automatic Breast Tumor Screening of Mammographic Images with Optimal Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/app13106234openalex-snapshot
Machine Learning-Based Label Quality Assurance for Object Detection Projects in Requirements Engineering
inferred← citeshttps://doi.org/10.3390/app15115978openalex-snapshot
Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review
inferred← citeshttps://doi.org/10.3390/app16073490openalex-snapshot
SegMed: An Open-Source Desktop Tool for Deploying Pretrained Deep Learning Models in 3D Medical Image Segmentation
inferred← citeshttps://doi.org/10.3390/biomedicines13040835openalex-snapshot
Using Artificial Intelligence to Enhance Myelodysplastic Syndrome Diagnosis, Prognosis, and Treatment
inferred← citeshttps://doi.org/10.3390/cancers15092573openalex-snapshot
Artificial Intelligence in CT and MR Imaging for Oncological Applications
inferred← citeshttps://doi.org/10.3390/diagnostics12102549openalex-snapshot
Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine
inferred← citeshttps://doi.org/10.3390/diagnostics14020185openalex-snapshot
Automatization of CT Annotation: Combining AI Efficiency with Expert Precision
inferred← citeshttps://doi.org/10.3390/diagnostics15050550openalex-snapshot
Digital Age and Medicine: Visualization and Evaluation of Foot Anatomy with Artificial Intelligence
inferred← citeshttps://doi.org/10.3390/electronics12030590openalex-snapshot
Ischemic Stroke Lesion Segmentation Using Mutation Model and Generative Adversarial Network
inferred← citeshttps://doi.org/10.3390/electronics12204263openalex-snapshot
Enhancing Fashion Classification with Vision Transformer (ViT) and Developing Recommendation Fashion Systems Using DINOVA2
inferred← citeshttps://doi.org/10.3390/healthcare10050755openalex-snapshot
A Two-Stage De-Identification Process for Privacy-Preserving Medical Image Analysis
inferred← citeshttps://doi.org/10.3390/info15060311openalex-snapshot
Harnessing Artificial Intelligence for Automated Diagnosis
inferred← citeshttps://doi.org/10.3390/jcm14197066openalex-snapshot
Development and Validation of Echocardiography Artificial Intelligence Models: A Narrative Review
inferred← citeshttps://doi.org/10.3390/jcm14238466openalex-snapshot
Meta-Analysis of AI Integration in Abdominal Imaging for Liver Fibrosis and MASLD: Evaluating Diagnostic Accuracy and Clinical Impact
inferred← citeshttps://doi.org/10.3390/jimaging11020059openalex-snapshot
Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues
inferred← citeshttps://doi.org/10.3390/onco1020016openalex-snapshot
Open Data to Support CANCER Science—A Bioinformatics Perspective on Glioma Research
inferred← citeshttps://doi.org/10.3390/w17060876openalex-snapshot
Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA
inferred← citeshttps://doi.org/10.37336/2707-0700-2021-3-4openalex-snapshot
Artificial Intellect, Radiomics and Radiogenomics
inferred← citeshttps://doi.org/10.37394/23209.2026.23.3openalex-snapshot
Designing, Performing and Evaluating a Multilayer Classification Pipeline of Neural Network Architectures, for Automated Diagnosis of Critical Hip Conditions, in Plain Anteroposterior Pelvic X-rays
inferred← citeshttps://doi.org/10.37917/ijeee.18.2.2openalex-snapshot
Shapley Value is an Equitable Metric for Data Valuation
inferred← citeshttps://doi.org/10.3991/ijoe.v22i09.61427openalex-snapshot
Design and Development of an Artificial Intelligence–Based Image Measurement System to Support Medical Procedures
inferred← citeshttps://doi.org/10.4018/978-1-6684-4969-1.ch013openalex-snapshot
Framework for Blockchain-Based Smart Healthcare Systems
inferred← citeshttps://doi.org/10.4018/979-8-3373-0538-7.ch011openalex-snapshot
Digital Twins in Medicine, AI-Driven Personalized Healthcare, and Predictive Analytics
inferred← citeshttps://doi.org/10.4018/979-8-3373-0593-6.ch015openalex-snapshot
The Convergence of Blockchain and Artificial Intelligence
inferred← citeshttps://doi.org/10.4018/979-8-3693-9561-5.ch008openalex-snapshot
Impact of Artificial Intelligence on SEO and Online Visibility
inferred← citeshttps://doi.org/10.4018/979-8-3693-9816-6.ch012openalex-snapshot
Emerging Trends in Artificial Intelligence for Medical Application
inferred← citeshttps://doi.org/10.4018/joeuc.308814openalex-snapshot
Smart Health
inferred← citeshttps://doi.org/10.4324/9781032634487-10openalex-snapshot
Fairness of an AI System in the Case of a Biobank of Images and Imaging Biomarkers
inferred← citeshttps://doi.org/10.47144/phj.v57i4.2905openalex-snapshot
The Evolving Landscape of Medical Editing in Healthcare
inferred← citeshttps://doi.org/10.48550/arxiv.2109.09658openalex-snapshot
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
inferred← citeshttps://doi.org/10.48550/arxiv.2303.10473openalex-snapshot
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
inferred← citeshttps://doi.org/10.5121/ijmit.2024.161openalex-snapshot
inferred← citeshttps://doi.org/10.5121/ijmit.2024.16101openalex-snapshot
Synthetic Brain Images: Bridging the Gap in Brain Mapping With Generative Adversarial Model
inferred← citeshttps://doi.org/10.5204/thesis.eprints.250839openalex-snapshot
Machine learning models for radiogenomics in cancer
inferred← citeshttps://doi.org/10.5397/cise.2026.00661openalex-snapshot
Artificial intelligence for postoperative plain radiographic assessment after reverse total shoulder arthroplasty: current evidence, clinical readiness, and limitations
inferred← citeshttps://doi.org/10.5498/wjp.v15.i3.103321openalex-snapshot
Advancing the diagnosis of major depressive disorder: Integrating neuroimaging and machine learning
inferred← citeshttps://doi.org/10.57019/jmv.1306685openalex-snapshot
Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability
inferred← citeshttps://doi.org/10.5772/intechopen.114142openalex-snapshot
Digital Frontiers in Healthcare: Integrating mHealth, AI, and Radiology for Future Medical Diagnostics
inferred← citeshttps://doi.org/10.61092/iaea.9olq-aqa9openalex-snapshot
Clinical Implementation of Artificial Intelligence Systems in Medical Imaging and Radiotherapy
inferred← citeshttps://doi.org/10.68159/j563691456openalex-snapshot
Evidence-Line Attribution for Clinical Text Generation: A Grounding Standard for Retrieval-Augmented Summarization
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