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Preparing Medical Imaging Data for Machine Learning
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inferred← citeshttps://doi.org/10.1007/978-3-031-96902-7_10openalex-snapshot
Artificial Intelligence in CT-Guided and MR-Guided Interventions
inferred← citeshttps://doi.org/10.1007/978-3-031-99270-4_4openalex-snapshot
Predicting Alzheimer’s Disease: A Case Study Using Federated Learning Framework
inferred← citeshttps://doi.org/10.1007/978-3-032-04978-0_25openalex-snapshot
Frequency Strikes Back: Boosting Parameter-Efficient Foundation Model Adaptation for Medical Imaging
inferred← citeshttps://doi.org/10.1007/978-3-032-05080-9_2openalex-snapshot
AI Methods: Understanding AI Models, Radiomic Analysis and Performance Metrics in Medical Imaging
inferred← citeshttps://doi.org/10.1007/978-3-032-05144-8_14openalex-snapshot
Wearable Ultrasound–A Review
inferred← citeshttps://doi.org/10.1007/978-3-032-05169-1_27openalex-snapshot
HyperSORT: Self-organising Robust Training with Hyper-networks
inferred← citeshttps://doi.org/10.1007/978-3-032-06674-9_45openalex-snapshot
Automated Laryngoscope Using AI Image Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-17216-7_16openalex-snapshot
Quality-Guided Focal Loss: Enhancing Minority Class Detection in Haematological Imaging
inferred← citeshttps://doi.org/10.1007/978-3-032-22202-2_31openalex-snapshot
Detecting Canine Cataracts: A Deep Learning and Clustering Approach
inferred← citeshttps://doi.org/10.1007/978-3-032-26908-9_17openalex-snapshot
Next-Generation Multimodal AI for Early Oral Cancer Prediction and Patient- Specific Treatment
inferred← citeshttps://doi.org/10.1007/978-3-032-38082-1_15openalex-snapshot
EchoPilot: Training-Free Ultrasound Video Segmentation via Scale-Space Semantic Prompting and Reliability-Gated Memory
inferred← citeshttps://doi.org/10.1007/978-3-032-38797-4_12openalex-snapshot
Hybrid Architectures and Vision Transformer for the Early Diagnosis of Non-alcoholic Fatty Liver Disease from Computed Tomography Images
inferred← citeshttps://doi.org/10.1007/978-3-032-39898-7_29openalex-snapshot
Educational Annotation Systems for Computer Vision: Automatic Evaluation and Dataset Generation for Medical Applications
inferred← citeshttps://doi.org/10.1007/978-3-658-44037-4_83openalex-snapshot
Unified Retrieval for Streamlining Biomedical Image Dataset Aggregation and Standardization
inferred← citeshttps://doi.org/10.1007/978-981-16-1244-2_3openalex-snapshot
Improving Prediction Accuracy Using Machine Learning Classification Techniques for Alzheimer’s Disease in Healthcare Services
inferred← citeshttps://doi.org/10.1007/978-981-16-6285-0_25openalex-snapshot
Machine Learning, Deep Learning and Image Processing for Healthcare: A Crux for Detection and Prediction of Disease
inferred← citeshttps://doi.org/10.1007/978-981-16-6775-6_34openalex-snapshot
Forming of Validation Dataset for Deep Learning Based Model of Medical Image Grouping
inferred← citeshttps://doi.org/10.1007/978-981-19-1657-1_20openalex-snapshot
A Survey on Medical Image Diagnosis Systems: Problems and Prospects
inferred← citeshttps://doi.org/10.1007/978-981-19-8296-5_9openalex-snapshot
RPA Revolution in the Healthcare Industry During COVID-19
inferred← citeshttps://doi.org/10.1007/978-981-95-2680-2_14openalex-snapshot
Image Quality Enhancement for Adaptive Radiotherapy in Breast Cancer Surgery Patients
inferred← citeshttps://doi.org/10.1007/978-981-96-0960-4_3openalex-snapshot
Act Like a Radiologist: Radiology Report Generation Across Anatomical Regions
inferred← citeshttps://doi.org/10.1007/978-981-97-6992-6_8openalex-snapshot
REED-NET: Residual Enhanced Encoder-Decoder Network for Low-Dose CT Reconstruction
inferred← citeshttps://doi.org/10.1007/978-981-99-8307-0_1openalex-snapshot
Introduction to Co-simulations of Microwave Circuits and High-Frequency Electromagnetic Fields
inferred← citeshttps://doi.org/10.1007/978-981-99-9029-0_6openalex-snapshot
The Emerging Applications of Machine Learning in the Diagnosis of Multiple Sclerosis
inferred← citeshttps://doi.org/10.1007/s00146-023-01684-3openalex-snapshot
Beyond ideals: why the (medical) AI industry needs to motivate behavioural change in line with fairness and transparency values, and how it can do it
inferred← citeshttps://doi.org/10.1007/s00234-021-02890-wopenalex-snapshot
The R-AI-DIOLOGY checklist: a practical checklist for evaluation of artificial intelligence tools in clinical neuroradiology
inferred← citeshttps://doi.org/10.1007/s00234-023-03126-9openalex-snapshot
Assessment of artificial intelligence (AI) reporting methodology in glioma MRI studies using the Checklist for AI in Medical Imaging (CLAIM)
inferred← citeshttps://doi.org/10.1007/s00246-020-02518-5openalex-snapshot
Retraining Convolutional Neural Networks for Specialized Cardiovascular Imaging Tasks: Lessons from Tetralogy of Fallot
inferred← citeshttps://doi.org/10.1007/s00247-020-04895-8openalex-snapshot
Artificial intelligence research within reach: an object detection model to identify rickets on pediatric wrist radiographs
inferred← citeshttps://doi.org/10.1007/s00247-022-05368-wopenalex-snapshot
Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review
inferred← citeshttps://doi.org/10.1007/s00247-022-05483-8openalex-snapshot
The requirements for performing artificial-intelligence-related research and model development
inferred← citeshttps://doi.org/10.1007/s00247-023-05746-yopenalex-snapshot
The unintended consequences of artificial intelligence in paediatric radiology
inferred← citeshttps://doi.org/10.1007/s00247-026-06542-0openalex-snapshot
A modern radiologist’s guide to artificial intelligence
inferred← citeshttps://doi.org/10.1007/s00247-026-06547-9openalex-snapshot
Artificial intelligence in paediatric neuroradiology: current landscape, challenges, and future directions
inferred← citeshttps://doi.org/10.1007/s00247-026-06551-zopenalex-snapshot
Data mining in pediatric radiology in the era of artificial intelligence
inferred← citeshttps://doi.org/10.1007/s00256-021-03824-6openalex-snapshot
Musculoskeletal trauma and artificial intelligence: current trends and projections
inferred← citeshttps://doi.org/10.1007/s00259-020-05167-1openalex-snapshot
Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging
inferred← citeshttps://doi.org/10.1007/s00259-023-06422-xopenalex-snapshot
Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning
inferred← citeshttps://doi.org/10.1007/s00261-020-02741-xopenalex-snapshot
Development of a volumetric pancreas segmentation CT dataset for AI applications through trained technologists: a study during the COVID 19 containment phase
inferred← citeshttps://doi.org/10.1007/s00261-024-04379-5openalex-snapshot
Automated selection of abdominal MRI series using a DICOM metadata classifier and selective use of a pixel-based classifier
inferred← citeshttps://doi.org/10.1007/s00261-025-04963-3openalex-snapshot
State of the art review of AI in renal imaging
inferred← citeshttps://doi.org/10.1007/s00261-025-05370-4openalex-snapshot
AI for screening in healthcare: promise and challenges
inferred← citeshttps://doi.org/10.1007/s00330-018-5810-7openalex-snapshot
The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
inferred← citeshttps://doi.org/10.1007/s00330-020-07056-5openalex-snapshot
Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics
inferred← citeshttps://doi.org/10.1007/s00330-020-07148-2openalex-snapshot
Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow
inferred← citeshttps://doi.org/10.1007/s00330-021-07781-5openalex-snapshot
An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude
inferred← citeshttps://doi.org/10.1007/s00330-021-07782-4openalex-snapshot
An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education
inferred← citeshttps://doi.org/10.1007/s00330-022-08724-4openalex-snapshot
CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images
inferred← citeshttps://doi.org/10.1007/s00330-022-09056-zopenalex-snapshot
Inter-observer variability of expert-derived morphologic risk predictors in aortic dissection
inferred← citeshttps://doi.org/10.1007/s00330-022-09184-6openalex-snapshot
SAM-X: sorting algorithm for musculoskeletal x-ray radiography
inferred← citeshttps://doi.org/10.1007/s00330-023-09860-1openalex-snapshot
Cybersecurity considerations for radiology departments involved with artificial intelligence
inferred← citeshttps://doi.org/10.1007/s00330-024-10907-0openalex-snapshot
Deep learning in pulmonary nodule detection and segmentation: a systematic review
inferred← citeshttps://doi.org/10.1007/s00330-025-11621-1openalex-snapshot
ESR Essentials: a step-by-step guide of segmentation for radiologists—practice recommendations by the European Society of Medical Imaging Informatics
inferred← citeshttps://doi.org/10.1007/s00345-025-06144-9openalex-snapshot
Diagnostic performance of artificial intelligence in detecting bladder carcinoma
inferred← citeshttps://doi.org/10.1007/s00414-023-02958-7openalex-snapshot
Automated localization of the medial clavicular epiphyseal cartilages using an object detection network: a step towards deep learning-based forensic age assessment
inferred← citeshttps://doi.org/10.1007/s00417-024-06420-1openalex-snapshot
An automated process for bulk downloading optical coherence tomography scans
inferred← citeshttps://doi.org/10.1007/s00428-023-03589-4openalex-snapshot
Reliability of whole mount radical prostatectomy histopathology as the ground truth for artificial intelligence assisted prostate imaging
inferred← citeshttps://doi.org/10.1007/s00521-025-11448-3openalex-snapshot
VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models
inferred← citeshttps://doi.org/10.1007/s00530-021-00884-5openalex-snapshot
A holistic overview of deep learning approach in medical imaging
inferred← citeshttps://doi.org/10.1007/s00586-022-07155-5openalex-snapshot
Spinopelvic measurements of sagittal balance with deep learning: systematic review and critical evaluation
inferred← citeshttps://doi.org/10.1007/s00784-023-04992-6openalex-snapshot
Investigation of the best effective fold of data augmentation for training deep learning models for recognition of contiguity between mandibular third molar and inferior alveolar canal on panoramic radiographs
inferred← citeshttps://doi.org/10.1007/s00784-025-06216-5openalex-snapshot
Exploring a decade of deep learning in dentistry: A comprehensive mapping review
inferred← citeshttps://doi.org/10.1007/s10140-023-02120-1openalex-snapshot
Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel
inferred← citeshttps://doi.org/10.1007/s10140-024-02306-1openalex-snapshot
Artificial intelligence in emergency and trauma radiology: ASER AI/ML expert panel Delphi consensus statement on research guidelines, practices, and priorities
inferred← citeshttps://doi.org/10.1007/s10266-026-01401-8openalex-snapshot
Diagnostic performance of artificial intelligence in periapical radiography: a systematic review
inferred← citeshttps://doi.org/10.1007/s10278-020-00413-2openalex-snapshot
Unsupervised Deep Anomaly Detection in Chest Radiographs
inferred← citeshttps://doi.org/10.1007/s10278-021-00450-5openalex-snapshot
Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper
inferred← citeshttps://doi.org/10.1007/s10278-021-00505-7openalex-snapshot
The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications
inferred← citeshttps://doi.org/10.1007/s10278-022-00594-yopenalex-snapshot
Effect of Training Data Volume on Performance of Convolutional Neural Network Pneumothorax Classifiers
inferred← citeshttps://doi.org/10.1007/s10278-022-00605-yopenalex-snapshot
Rethinking Clinical Trial Radiology Workflows and Student Training: Integrated Virtual Student Shadowing Experience, Education, and Evaluation
inferred← citeshttps://doi.org/10.1007/s10278-022-00649-0openalex-snapshot
An Orchestration Platform that Puts Radiologists in the Driver’s Seat of AI Innovation: a Methodological Approach
inferred← citeshttps://doi.org/10.1007/s10278-022-00658-zopenalex-snapshot
Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper
inferred← citeshttps://doi.org/10.1007/s10278-022-00690-zopenalex-snapshot
Improving the Automatic Classification of Brain MRI Acquisition Contrast with Machine Learning
inferred← citeshttps://doi.org/10.1007/s10278-022-00717-5openalex-snapshot
Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model
inferred← citeshttps://doi.org/10.1007/s10278-022-00748-yopenalex-snapshot
Local Axial Scale-Attention for Universal Lesion Detection
inferred← citeshttps://doi.org/10.1007/s10278-024-01083-0openalex-snapshot
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey
inferred← citeshttps://doi.org/10.1007/s10278-024-01095-wopenalex-snapshot
Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository
inferred← citeshttps://doi.org/10.1007/s10278-025-01823-wopenalex-snapshot
Large-Scale Foundation Models for Radiological Image Analysis: Clinical Applications, Technical Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/s10278-026-02076-xopenalex-snapshot
Multimodal Large Language Model for Zero-Shot L3 Body Composition Segmentation on CT: Improved Accuracy via Automated Candidate Selection
inferred← citeshttps://doi.org/10.1007/s10278-026-02246-xopenalex-snapshot
LOCUS-Diff: Location-Controlled Thyroid Ultrasound Synthesis for Advancing Nodule Detection
inferred← citeshttps://doi.org/10.1007/s10278-026-02305-3openalex-snapshot
A Node-Based Workflow Management System for End-to-End and Human-in-the-Loop Medical Image Processing
inferred← citeshttps://doi.org/10.1007/s10278-026-02312-4openalex-snapshot
Multicohort Evaluation of Acquisition Confounding in Single-Site Lung-CT Malignancy Classification with Frozen Foundation-Model Features
inferred← citeshttps://doi.org/10.1007/s10278-026-02348-6openalex-snapshot
Getting Beyond Plain Text: Long-Term Adoption Rates and Survey of Radiologist Experience with Interactive Multimedia Reporting Technology
inferred← citeshttps://doi.org/10.1007/s10334-026-01401-3openalex-snapshot
Mapping concussion-induced cerebellar injury: a personalized approach using diffusion tensor imaging (DTI)
inferred← citeshttps://doi.org/10.1007/s10439-023-03232-yopenalex-snapshot
ChatGPT in Colorectal Surgery: A Promising Tool or a Passing Fad?
inferred← citeshttps://doi.org/10.1007/s10462-022-10256-8openalex-snapshot
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences
inferred← citeshttps://doi.org/10.1007/s10462-026-11632-4openalex-snapshot
Fairness in federated medical imaging: a systematic review through the dual fairness lens
inferred← citeshttps://doi.org/10.1007/s10479-025-06823-1openalex-snapshot
Federated propensity score matching: a method for estimating average treatment effect based on data in Islands
inferred← citeshttps://doi.org/10.1007/s10489-026-07211-3openalex-snapshot
Deep learning models for digital medical imaging: a survey
inferred← citeshttps://doi.org/10.1007/s10589-022-00392-wopenalex-snapshot
Constrained and unconstrained deep image prior optimization models with automatic regularization
inferred← citeshttps://doi.org/10.1007/s10664-024-10521-0openalex-snapshot
Challenges and practices of deep learning model reengineering: A case study on computer vision
inferred← citeshttps://doi.org/10.1007/s10792-025-03806-wopenalex-snapshot
Artificial intelligence-driven diagnosis for age-related macular degeneration bridging pathology and engineering: a survey
inferred← citeshttps://doi.org/10.1007/s10916-025-02263-3openalex-snapshot
A Pretraining Approach for Small-sample Training Employing Radiographs (PASTER): a Multimodal Transformer Trained by Chest Radiography and Free-text Reports
inferred← citeshttps://doi.org/10.1007/s11042-022-12932-xopenalex-snapshot
A concept for movement-based computerized segmentation of connective tissue in ultrasound imaging
inferred← citeshttps://doi.org/10.1007/s11042-022-13991-wopenalex-snapshot
Integrating CNN along with FAST descriptor for accurate retrieval of medical images with reduced error probability
inferred← citeshttps://doi.org/10.1007/s11042-022-14305-wopenalex-snapshot
Machine learning and deep learning approach for medical image analysis: diagnosis to detection
inferred← citeshttps://doi.org/10.1007/s11042-024-20292-xopenalex-snapshot
Objective quality assessment of medical images and videos: review and challenges
inferred← citeshttps://doi.org/10.1007/s11042-025-20802-5openalex-snapshot
Ultrasound-based AI for COVID-19 detection: a comprehensive review of public and private lung ultrasound datasets and studies
inferred← citeshttps://doi.org/10.1007/s11060-025-05094-xopenalex-snapshot
Super-resolution sodium MRI of human gliomas at 3T using physics-based generative artificial intelligence
inferred← citeshttps://doi.org/10.1007/s11227-023-05448-0openalex-snapshot
Improving generalization in deep neural network using knowledge transformation based on fisher criterion
inferred← citeshttps://doi.org/10.1007/s11227-026-08875-xopenalex-snapshot
A dual-stream deep learning approach for accurate diagnosis of osteopenia and osteoporosis
inferred← citeshttps://doi.org/10.1007/s11263-024-02145-0openalex-snapshot
Towards Task Sampler Learning for Meta-Learning
inferred← citeshttps://doi.org/10.1007/s11282-025-00839-wopenalex-snapshot
Applicability and performance of convolutional neural networks for the identification of periodontal bone loss in periapical radiographs: a scoping review
inferred← citeshttps://doi.org/10.1007/s11282-026-00968-wopenalex-snapshot
A narrative review of artificial intelligence in dental imaging: from dataset design to clinical translation
inferred← citeshttps://doi.org/10.1007/s11517-023-02867-2openalex-snapshot
Automatic Alberta Stroke Program Early Computed Tomographic Scoring in patients with acute ischemic stroke using diffusion-weighted imaging
inferred← citeshttps://doi.org/10.1007/s11517-024-03066-3openalex-snapshot
Lung pneumonia severity scoring in chest X-ray images using transformers
inferred← citeshttps://doi.org/10.1007/s11548-024-03213-zopenalex-snapshot
Using diffusion models to generate synthetic labeled data for medical image segmentation
inferred← citeshttps://doi.org/10.1007/s11548-026-03656-6openalex-snapshot
Evaluating data heterogeneity's impact on convolutional neural network performance in medical imaging
inferred← citeshttps://doi.org/10.1007/s11604-022-01249-2openalex-snapshot
Anomaly detection in chest 18F-FDG PET/CT by Bayesian deep learning
inferred← citeshttps://doi.org/10.1007/s11831-025-10416-3openalex-snapshot
Deep LearnIng and Machine Learning for Brain Tumor Detection: A Review, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/s11831-026-10702-8openalex-snapshot
From CNNs to Vision Transformers: A Survey on Addressing Domain Shift and Adaptation Concepts in Medical Image Analysis
inferred← citeshttps://doi.org/10.1007/s11882-025-01207-8openalex-snapshot
AI-Driven Biomarker Discovery and Personalized Allergy Treatment: Utilizing Machine Learning and NGS
inferred← citeshttps://doi.org/10.1007/s11883-025-01316-9openalex-snapshot
Artificial Intelligence-Enabled Point-of-Care Echocardiography: Bringing Precision Imaging to the Bedside
inferred← citeshttps://doi.org/10.1007/s11912-021-01054-6openalex-snapshot
Role of Machine Learning and Artificial Intelligence in Interventional Oncology
inferred← citeshttps://doi.org/10.1007/s12094-025-03939-5openalex-snapshot
Insights into radiomics: a comprehensive review for beginners
inferred← citeshttps://doi.org/10.1007/s12194-024-00827-5openalex-snapshot
Investigation of distributed learning for automated lesion detection in head MR images
inferred← citeshttps://doi.org/10.1007/s12325-025-03198-4openalex-snapshot
The Limitations of Artificial Intelligence in Head and Neck Oncology
inferred← citeshttps://doi.org/10.1007/s12553-021-00586-yopenalex-snapshot
Prostate cancer prediction from multiple pretrained computer vision model
inferred← citeshttps://doi.org/10.1007/s12574-023-00611-1openalex-snapshot
Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing
inferred← citeshttps://doi.org/10.1007/s12672-025-03307-3openalex-snapshot
Application of artificial intelligence in medical imaging for tumor diagnosis and treatment: a comprehensive approach
inferred← citeshttps://doi.org/10.1007/s13246-024-01408-xopenalex-snapshot
Semi-supervised learning towards automated segmentation of PET images with limited annotations: application to lymphoma patients
inferred← citeshttps://doi.org/10.1007/s13369-025-10778-7openalex-snapshot
A Bottleneck Fusion Framework for Intra-domain Transfer Learning in Stroke Lesion Segmentation on Multimodal MRI Data
inferred← citeshttps://doi.org/10.1007/s13721-024-00491-0openalex-snapshot
Survey of AI-driven techniques for ovarian cancer detection: state-of-the-art methods and open challenges
inferred← citeshttps://doi.org/10.1007/s13755-025-00405-yopenalex-snapshot
Design and validation of a responsible artificial intelligence-based system for the referral of diabetic retinopathy patients
inferred← citeshttps://doi.org/10.1007/s40313-026-01276-8openalex-snapshot
A Novel Reinforcement Learning-Based Leveling Control Method for Multi-cylinder Hydraulic Press: Lyapunov Distributional Soft Actor–Critic
inferred← citeshttps://doi.org/10.1007/s42979-023-01882-2openalex-snapshot
Optimized Machine Learning for Classifying Colorectal Tissues
inferred← citeshttps://doi.org/10.1007/s42979-024-03025-7openalex-snapshot
Integrated Dataset-Preparation System for ML-Based Medical Image Diagnosis with High Clinical Applicability in Various Modalities and Diagnoses
inferred← citeshttps://doi.org/10.1007/s43545-024-00954-1openalex-snapshot
A hybrid approach to analysing large scale surveys: individual values, opinions and perceptions
inferred← citeshttps://doi.org/10.1007/s43681-023-00329-xopenalex-snapshot
Algorithmic bias, generalist models, and clinical medicine
inferred← citeshttps://doi.org/10.1007/s44206-022-00009-zopenalex-snapshot
Assigning Obligations in AI Regulation: A Discussion of Two Frameworks Proposed By the European Commission
inferred← citeshttps://doi.org/10.1016/b978-0-12-821983-6.00004-7openalex-snapshot
Artificial intelligence in cardiovascular imaging
inferred← citeshttps://doi.org/10.1016/b978-0-12-823299-6.00003-1openalex-snapshot
Deep learning and generative adversarial networks in oral and maxillofacial surgery
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