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Pixelwise Gradient Model with GAN for Virtual Contrast Enhancement in MRI Imaging

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A New Intraocular Lens Power Formula Integrating an Artificial Intelligence–Powered Estimation for Effective Lens Position Based on Chinese Eyes

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Explainable deep learning algorithm for identifying cerebral venous sinus thrombosis-related hemorrhage (CVST-ICH) from spontaneous intracerebral hemorrhage using computed tomography

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Artificial Intelligence with Radiology as a Trailblazer for Super-Diagnostics: An Essay

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Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement

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CraNeXt: Automatic Reconstruction of Skull Implants With Skull Categorization Technique

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TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

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Mathematical modeling of palatal suture pattern formation: morphological differences between sagittal and palatal sutures

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Emerging role of artificial intelligence in stroke imaging

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Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis

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Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes

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Artificial Intelligence Approach in Melanoma

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Artificial Intelligence and Machine Learning in Healthcare Sector

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Machine Learning in Invasive and Noninvasive Coronary Angiography

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Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

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The Effectiveness of Artificial Intelligence in Assisting Mothers with Assessing Infant Stool Consistency in a Breastfeeding Cohort Study in China

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A retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the United Kingdom

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Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans

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How Does Acknowledging Users’ Preferences Impact AI’s Ability to Make Conflicting Recommendations?

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Informatics in Emergency Medicine: A Literature Review

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Intracranial Hemorrhage Diagnosis Using Deep Learning: A Survey of Techniques, Frameworks, and Challenges

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Artificial Intelligence and Mechanical Circulatory Support

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Automatic Brain Midline Surface Delineation on 3D CT Images With Intracranial Hemorrhage

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Predicting skull fractures via CNN with classification algorithms

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Improved Densenet Model for Automatic Categorization of Brain Tumors

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Identification of Intracranial Hemorrhage using ResNeXt Model

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CMF defects database: A craniomaxillofacial defects dataset and a data-driven repair method

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Federated Convolutional Neural Networks for Predictive Analysis of Traumatic Brain Injury: Advancements in Decentralized Health Monitoring

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Image‐domain material decomposition for dual‐energy CT using unsupervised learning with data‐fidelity loss

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Precise Image-level Localization of Intracranial Hemorrhage on Head CT Scans with Deep Learning Models Trained on Study-level Labels

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Convolutional neural networks to identify malformations of cortical development: A feasibility study

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Adaptive kernel selection network with attention constraint for surgical instrument classification

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Clinical Artificial Intelligence Applications in Radiology

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Development and Validation of an Automatic System for Intracerebral Hemorrhage Medical Text Recognition and Treatment Plan Output

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Diagnosis after zooming in: A multilabel classification model by imitating doctor reading habits to diagnose brain diseases

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A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans

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Estimation of Renal Function Using Unenhanced Computed Tomography in Upper Urinary Tract Stones Patients

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Artificial intelligence in child abuse imaging

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Hybrid Convolutional Neural Network-Based Diagnosis System for Intracranial Hemorrhage

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A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT

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Automated Hematoma Detection and Outcome Prediction in Patients With Traumatic Brain Injury

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Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources

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Non-genetic factors determine deep learning identified ECG differences between black and white healthy subjects

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Diagnostic performance and clinical applications of artificial intelligence for intracranial bleeding detection: A meta-analysis

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Health system learning enables generalist neuroimaging models

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Unsupervised Lesion-Aware Transfer Learning for Diabetic Retinopathy Grading in Ultra-Wide-Field Fundus Photography

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An efficient stacked bidirectional GRU‐LSTM network for intracranial hemorrhage detection

Kothala, L. P., & Guntur, S. R. (2023) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22958 · Cited by 8

Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects

Kwarciak, K., & Wodziński, M. (2023) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw60793.2023.00114 · Cited by 9

Knowledge structure and global trends of machine learning in stroke over the past decade: A scientometric analysis

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Agrawal, D. K., Joshi, S., Bahel, V., Poonamallee, L., & Agrawal, A. (2024) · Journal of Neurosciences in Rural Practice · doi:10.25259/jnrp_490_2023 · Cited by 8

Assessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence Competition

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Adoption, orchestration, and deployment of artificial intelligence within the National Health Service—facilitators and barriers: an expert roundtable discussion

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SMART: Development and Application of a Multimodal Multi-organ Trauma Screening Model for Abdominal Injuries in Emergency Settings

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Automatic segmentation and volumetric analysis of intracranial hemorrhages in brain CT images

Yüce, M., Öztürk, S., Pamuk, G. G., Varlık, C., & Cimilli, T. (2025) · European Journal of Radiology · doi:10.1016/j.ejrad.2025.111952 · Cited by 8

Convolutional Neural Networks and Geometric Moments to Identify the Bilateral Symmetric Midplane in Facial Skeletons from CT Scans

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Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI Using Noisy Student-Based Training

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Intracerebral Hemorrhage Segmentation on Noncontrast Computed Tomography Using a Masked Loss Function U-Net Approach

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Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning

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Recurrent Sub-volume Analysis of Head CT Scans for the Detection of Intracranial Hemorrhage

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