Radiology

ADAptation: Reconstruction-based Unsupervised Active Learning for Breast Ultrasound Diagnosis

Deep learning-based diagnostic models often suffer performance drops due to distribution shifts be...

Improving Imaging Field of View of 3-D Transcranial Rat Brain Super-Resolution With Robotic Registered Compounding and Nonrigid Deformation Correction.

Large field-of-view (FOV) brain imaging with ultrasound has become increasingly achievable with the ...

How I Do It: Three-Dimensional MR Neurography and Zero Echo Time MRI for Rendering of Peripheral Nerve and Bone.

MR neurography sequences provide excellent nerve-to-background soft tissue contrast, whereas a zero ...

Magnetic resonance image generation using enhanced TransUNet in temporomandibular disorder patients.

OBJECTIVES: Temporomandibular disorder (TMD) patients experience a variety of clinical symptoms, and...

Radiation and contrast dose reduction in coronary CT angiography for slender patients with 70 kV tube voltage and deep learning image reconstruction.

OBJECTIVE: To evaluate the radiation and contrast dose reduction potential of combining 70 kV with d...

Multitask Deep Learning for Automated Detection of Endoleak at Digital Subtraction Angiography during Endovascular Aneurysm Repair.

Purpose To develop and evaluate a novel multitask deep learning framework for automated detection an...

Deep Learning Model for Real-Time Nuchal Translucency Assessment at Prenatal US.

Purpose To develop and evaluate an artificial intelligence-based model for real-time nuchal transluc...

Accelerating CEST MRI With Deep Learning-Based Frequency Selection and Parameter Estimation.

Chemical exchange saturation transfer (CEST) MRI is a powerful molecular imaging technique for detec...

Physiological Confounds in BOLD-fMRI and Their Correction.

Functional magnetic resonance imaging (fMRI) has opened new frontiers in neuroscience by instrumenta...

Acquisition and Reconstruction Techniques for Coronary CT Angiography: Current Status and Trends over the Past Decade.

Coronary CT angiography (CCTA) has been widely used as a noninvasive modality for accurate assessmen...

Agreement between Routine-Dose and Lower-Dose CT with and without Deep Learning-based Denoising for Active Surveillance of Solid Small Renal Masses: A Multiobserver Study.

Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT s...

[A deep learning method for differentiating nasopharyngeal carcinoma and lymphoma based on MRI].

To development a deep learning（DL） model based on conventional MRI for automatic segmentation and di...

Correction to "Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data".

Computed Tomography Advancements in Plaque Analysis: From Histology to Comprehensive Plaque Burden Assessment.

Advancements in coronary computed tomography angiography (CCTA) facilitated the transition from trad...

Automatic Detection of B-Lines in Lung Ultrasound Based on the Evaluation of Multiple Characteristic Parameters Using Raw RF Data.

B-line artifacts in lung ultrasound, pivotal for diagnosing pulmonary conditions, warrant automated ...

A Closed-Loop Environmental Health Management Platform: A Multifunctional MgFeO Nanoparticle Enabling AI-Enhanced Detection, Bioimaging, and Degradation of Tetracycline Antibiotics.

Emerging pollutants such as tetracycline antibiotics (TCs) have garnered attention due to their ecol...

A combined attention mechanism for brain tumor segmentation of lower-grade glioma in magnetic resonance images.

Low-grade gliomas (LGGs) are among the most problematic brain tumors to reliably segment in FLAIR MR...

Methodological Challenges in Deep Learning-Based Detection of Intracranial Aneurysms: A Scoping Review.

Artificial intelligence (AI), particularly deep learning, has demonstrated high diagnostic performan...

Deep Learning Image Reconstruction (DLIR) Algorithm to Maintain High Image Quality and Diagnostic Accuracy in Quadruple-low CT Angiography of Children with Pulmonary Sequestration: A Case Control Study.

RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abn...

Development and validation of a fusion model based on multi-phase contrast CT radiomics combined with clinical features for predicting Ki-67 expression in gastric cancer.

The present study aimed to develop and validate a fusion model based on multi-phase contrast-enhance...

Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational study.

BACKGROUND: Chronic back pain (CBP) affects over 80 million people in Europe, contributing to substa...