Discussion on the value of image fusion based on artificial intelligence

Histopathology images predict NAC responses and prognoses in breast cancer patients

Multimodal Analysis of Pathological Radiomics Reveals Phenotypes of Intratumoral Heterogeneity and Their Clinical Correlations

Multistain Deep Learning for Predicting Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Radiomic Nomogram for Predicting Pathological Complete Response to Neoadjuvant Chemotherapy in HER2-Low Expressing Breast Cancer Using DCE-MRI

Differential Diagnosis of Triple-Negative and Non-Triple-Negative Breast Cancer Based on Multiparameter MRI Radiomics and Revealing Cell-Level Differences

MRI in Vivo Detection of Amyloid-β Protein Deposition in Different Brain Regions of AD and MCI Patients

Quantitative Assessment of Brain Structural Abnormalities in Children with Autism Spectrum Disorder Based on Artificial Intelligence Automatic Brain Segmentation Technology and Machine Learning Methods

Convolutional neural network-based diagnostic model for a solid, indeterminate solitary pulmonary nodule on computed tomography

The value of CT-based radiomics for predicting visceral pleural invasion in early-stage non-small cell lung cancer

Application of Generative Adversarial Network-based Deep Learning in Reducing Cardiac Magnetic Resonance Motion Artifacts

Measurement of Perfusion Heterogeneity within Tumor Habitats on Magnetic Resonance Imaging and Its Association with response to neoadjuvant chemotherapy in Breast Cancer Patients

Carotid and cerebrovascular dual-energy computed tomography angiography: Application of using 3D convolutional neural network in Virtual monoenergetic images

Energy Spectral Single-Energy Technique Based on Deep Learning Image Reconstruction: Study on Image Quality of Thoracic Aorta under Low Contrast Agent Flow Rate

Method for Constructing Raw Data for Coronary CCTA Calcification Artifact Suppression in AI Training

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Application of Improved Urate Analysis Algorithm Based on Spectral Parameters in Podagra

Diagnostic value of dual-energy CT in differential diagnosis of osteoblastic metastasis and bone island

Electron-density dual-energy CT: Improved visualization of lumbar disc especially calcified disc compared with standard gray-scale CT and virtual non-calcium

Quantitative Assessment of Lumbar Intervertebral Disc Degeneration and Its Correlation with Clinical Symptoms: A Study Utilizing Ultrashort Time-of-Echo and T2 Mapping as Biomarkers

Application Value of FineZ Reconstruction Technology in Improving the Image Quality of Middle and Inner Ear CT Scans

Differentiation of Tonsillar Squamous Cell Carcinoma from Tonsillar Lymphoma Using Multi-Parametric Dual-Energy CT

Reducing both radiation and contrast doses in 80-kV head and neck CT angiography with various strength deep learning image reconstruction combined contrast- enhancement-boost technology: comparison with 100-kV head and neck CT angiography

To Explore The Discrepancy Between HEAD AND NECK DUAL-ENERGY CTA And The PEAK PHASE OF CT BRAIN PERFUSION In Evaluating Cerebral Artery Stenosis

To investigate the relationship between net water uptake values measured on non-contrast CT images, virtual-non-contrast images, and water-based material maps, and their association with clinical outcome in patients with acute ischemic stroke

Exploring the asynchronous changes of superficial cartilage and osteochondral junction in knee osteoarthritis based on T2 mapping and ultrashort echo time imaging: a pilot study

The advantages of 3D proton density weighted fat suppression sequence for knee joint ligament injury

Alterations in surface-based amplitude of low-frequency fluctuations in primary open-angle glaucoma link to neurotransmitter profiling and visual impairment severity

Amplitude of low-frequency fluctuation (ALFF) alterations in heart transplant patients with cognitive impairment: A resting-state fMRI study

Application Value of Intelligent Quick Magnetic Resonance in Brain MR Scanning Speed Accelerating and Image Quality Improving of Acute Ischemic Stroke

Assessment of Cerebrovascular Reactivity in Moyamoya Disease: 2 Establishing ASL Thresholds Correlated with Xenon-CT

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Genetic Imaging Study of the Glymphatic System and motor dysfunction in Spinocerebellar Ataxia Type 3

Habenula functional connectivity predicts prior night’s sleep in healthy adults: A 5.0 T fMRI study

Hemodynamic Verification of Vertebrobasilar Artery System Based on Computational Fluid Dynamics

Quantitative analysis of orbital soft tissues using 3D cube-flex sequence for predicting methylprednisolone pulse therapy treatment efficacy in thyroid-associated ophthalmopathy

Histogram Metrics of T1 Delayed Subtraction maps for Enhanced Glioma Genotyping

Impaired glymphatic clearance in uremic encephalopathy with restless legs syndrome: A diffusion spectrum imaging study

Multi-parametric MRI assessment of NSC-Exos regulating the polarization of microglia in rats after cerebral ischemia/reperfusion injury

X-ray Lead Aprons in Multiple Departments of the Hospital

Optimizing Preprocessing Pipelines for 2-Hydroxyglutarate Detection in IDH-Mutant Gliomas with long-TE 1H MRS

Primary Quantitative Brain MRI Techniques：Comparison Among the Traditional Relaxometric Mapping, the Synthetic MRI and the MRF Sequence

Value of Deep Learning Accelerated T1WI and T2WI Dixon Sequences in Head and Neck Tumors

Sex differences in fetal intrinsic brain activity

Spontaneous Brain Activity Abnormalities in Patients With Amblyopia: A Meta-Analysis of 425 Patients

High-resolution dynamic contrast-enhanced MRI for pituitary microadenoma diagnosis using deep learning-based compressed sensing and super-resolution reconstruction

Study the correlation between focal lesions and insomnia after acute ischemic stroke using voxel-based lesion-symptom mapping and lesion-network mapping

The application of High-Resolution Vessel Wall MRI(HR-VW-MRI) in determining the stability of intracranial MCA and BA plaques

Predicting Value of Multi-b-value Diffusion-weighted Imaging Models for Pathological Grading of Clear Cell Renal Cell Carcinoma

Optimizing Bladder MR Imaging: Protocols, Patient Preparation, and Fast Scanning for Enhanced Image Quality

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A prospective multi-model study on diagnostic performance of magnetization transfer MR imaging in comparison with 18F-FAPI PET/CT or 18F-FDG PET/CT to detect intestinal fibrosis in Crohn’s disease

Preoperative prediction of microvascular invasion in hepatocellular carcinoma using T1 mapping on gadoxetic acid-enhanced MR imaging

Added Value of Histogram Analysis of Intravoxel Incoherent Motion and Diffusion Kurtosis Imaging for the Evaluation of Complete Response to Neoadjuvant Therapy in Locally Advanced Rectal Cancer

APPLICATION OF INTRAVOXEL INCOHERENT MOTION(IVIM) IN PREDICTING THERAPEUTIC RESPONSE OF UTERINE FIBROIDS AFTER HIGH-INTENSITY FOCUSED ULTRASOUND ABLATION

Assessment of pathological prognostic factors of rectal cancer based on diffusion-weighted imaging, intravoxel incoherent motion, and diffusion kurtosis imaging

Cervical carcinoma: an initial clinical experience of multiplexed sensitivity encoding diffusion-weighted imaging.

Clinical feasibility of water-excitation diffusion weighted imaging of the liver: Comparison with conventional diffusion weighted imaging

Computed DWI imaging based on MUSE sequence for prostate detection: Comparison with Acquired DWI imaging

Effect of respiratory curve characteristics on the quality of liver T2WI imaging

Improving image quality and decreasing SAR with high dielectric constant pad in 3.0T fetal MRI

Individualized prediction of post-acute pancreatitis diabetes mellitus by combining lipid metabolism and morphological characteristics of pancreaticobiliary junction

Integration of Dixon Fat Sequence Enhances Radiomics-based Prediction of Microvascular Invasion in Hepatocellular Carcinoma Using Enhanced MRI: A Retrospective Cohort Study

Multiparametric magnetic resonance imaging for evaluating renal functional injury in chronic kidney disease patients

Predicting the clinical stage of cervical cancer basedonthe clinical-imaging model of reduced field-of-viewdiffusion-weightedimaging

Prediction of cervical cancer prognosis based on MRI features and IVIM parameters

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