Radiology

Artificial intelligence-enabled opportunistic identification of immune checkpoint inhibitor-related adverse events using [F]FDG PET/CT.

The use of imaging in the diagnosis and treatment of thromboembolic pulmonary hypertension.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a potentially life-threatening condition, c...

Myocardial Perfusion PET-CT: There's More Here Than Meets the (A)I.

Predicting abnormal fetal growth using deep learning.

Ultrasound assessment of fetal size and growth is the mainstay of monitoring fetal well-being during...

Evaluation of vascular cognitive impairment and identification of imaging markers using machine learning: a multimodal MRI study.

BACKGROUND: Vascular cognitive impairment (VCI) is prevalent but underdiagnosed due to its heterogen...

Bi-modal ultrasound radiomics and habitat analysis enhanced the pre-operative prediction of axillary lymph node burden in patients with early-stage breast cancer.

OBJECTIVE: This study aimed to evaluate the value of habitat analysis based bi-modal ultrasound radi...

TFKT V2: task-focused knowledge transfer from natural images for computed tomography perceptual image quality assessment.

PURPOSE: The accurate assessment of computed tomography (CT) image quality is crucial for ensuring d...

Computed Tomography-Based Radiomics Diagnostic Model for Fat-Poor Small Renal Tumor Subtypes.

Differentiating histologic subtypes of fat-poor small renal masses using conventional imaging remai...

Multi-Scale Vision Transformer with Optimized Feature Fusion for Mammographic Breast Cancer Classification.

: Breast cancer remains one of the leading causes of mortality among women worldwide, highlighting t...

The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer.

Differentiation of adrenal incidentalomas (AIs) remains a challenge in the oncological setting. The...

Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis.

Multiple sclerosis (MS) is a chronic inflammatory disease characterized by demyelinating lesions in ...

A deep learning model for accurate segmentation of the Drosophila melanogaster brain from Micro-CT imaging.

The use of microcomputed tomography (Micro-CT) for imaging biological samples has burgeoned in the p...

Artificial Intelligence Augmented Cerebral Nuclear Imaging.

Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), has signifi...

Incorporating organ deformation in biological modeling and patient outcome study for permanent prostate brachytherapy.

Permanent prostate brachytherapy has inherent intraoperative organ deformation due to the inflatable...

Multimodal artificial intelligence in radiology: Text-dominant reasoning limits image understanding.

Operationalizing postmortem pathology-MRI association studies in Alzheimer's disease and related disorders with MRI-guided histology sampling.

Postmortem neuropathological examination, while the gold standard for diagnosing neurodegenerative d...

Efficient feature extraction using light-weight CNN attention-based deep learning architectures for ultrasound fetal plane classification.

Ultrasound fetal imaging is beneficial to support prenatal development because it is affordable and ...

Fully automated Bayesian analysis for quantifying the extent and distribution of pulmonary perfusion changes on CT pulmonary angiography in CTEPH.

OBJECTIVES: This work aimed to develop an automated method for quantifying the distribution and seve...

Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibros...

RadCLIP: Enhancing Radiologic Image Analysis Through Contrastive Language-Image Pretraining.

The integration of artificial intelligence (AI) with radiology signifies a transformative era in med...

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI.

OBJECTIVE: Dynamic magnetic resonance imaging (MRI) plays an indispensable role in cardiac diagnosis...