Radiology

MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning.

BACKGROUND: Deep learning (DL) have been reported feasible in breast MRI. However, the effectiveness...

[Update: Small bowel diseases in computed tomography and magnetic resonance imaging].

CLINICAL/METHODICAL ISSUE: Radiological procedures play a crucial role in the diagnosis of small bow...

Transformers, codes and labels: large language modelling for natural language processing in clinical radiology.

Remote assessment of cognition and quality of life following radiotherapy for glioma: deep-learning-based predictive models and MRI correlates.

BACKGROUND: Glioma irradiation often unavoidably damages the brain volume and affects cognition. Thi...

A study on the optimal condition of ground truth area for liver tumor detection in ultrasound images using deep learning.

PURPOSE: In recent years, efforts to apply artificial intelligence (AI) to the medical field have be...

Remote assessment of cognition and quality of life following radiotherapy for nasopharyngeal carcinoma: deep-learning-based predictive models and MRI correlates.

PURPOSE: Irradiation of the brain regions from nasopharyngeal carcinoma (NPC) radiotherapy (RT) is f...

Pushing the limits of low-cost ultra-low-field MRI by dual-acquisition deep learning 3D superresolution.

PURPOSE: Recent development of ultra-low-field (ULF) MRI presents opportunities for low-power, shiel...

Review of Robot-Assisted HIFU Therapy.

This paper provides an overview of current robot-assisted high-intensity focused ultrasound (HIFU) s...

Robotics in interventional cardiology: a new era of safe and efficient procedures.

High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning.

. Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. Ho...

Investigating the robustness of a deep learning-based method for quantitative phase retrieval from propagation-based x-ray phase contrast measurements under laboratory conditions.

Quantitative phase retrieval (QPR) in propagation-based x-ray phase contrast imaging of heterogeneou...

MLF-IOSC: Multi-Level Fusion Network With Independent Operation Search Cell for Low-Dose CT Denoising.

Computed tomography (CT) is widely used in clinical medicine, and low-dose CT (LDCT) has become popu...

Phase Contrast Image Restoration by Formulating Its Imaging Principle and Reversing the Formulation With Deep Neural Networks.

Phase contrast microscopy, as a noninvasive imaging technique, has been widely used to monitor the b...

MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion.

Patient scans from MRI often suffer from noise, which hampers the diagnostic capability of such imag...

A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging.

PURPOSE: The purpose of this study was to develop and evaluate a deep learning model to detect bone ...

A hybrid model- and deep learning-based framework for functional lung image synthesis from multi-inflation CT and hyperpolarized gas MRI.

BACKGROUND: Hyperpolarized gas MRI is a functional lung imaging modality capable of visualizing regi...

Aggregated micropatch-based deep learning neural network for ultrasonic diagnosis of cirrhosis.

Despite the advancements in the diagnosis of early-stage cirrhosis, the accuracy in the diagnosis us...

BiTNet: Hybrid deep convolutional model for ultrasound image analysis of human biliary tract and its applications.

Certain life-threatening abnormalities, such as cholangiocarcinoma, in the human biliary tract are c...

Current State of Robotics in Interventional Radiology.

As a relatively new specialty with a minimally invasive nature, the field of interventional radiolog...

Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms.

There is a rapidly increasing number of artificial intelligence (AI) products cleared by the Food an...

Dental image enhancement network for early diagnosis of oral dental disease.

Intelligent robotics and expert system applications in dentistry suffer from identification and dete...