Radiology

Deep-fUS: A Deep Learning Platform for Functional Ultrasound Imaging of the Brain Using Sparse Data.

Functional ultrasound (fUS) is a rapidly emerging modality that enables whole-brain imaging of neura...

Closed-loop transcranial ultrasound stimulation with a fuzzy controller for modulation of motor response and neural activity of mice.

. We propose a closed-loop transcranial ultrasound stimulation (TUS) with a fuzzy controller to real...

A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms.

One of the most promising research areas in the healthcare industry and the scientific community is ...

Deep learning to diagnose Hashimoto's thyroiditis from sonographic images.

Hashimoto's thyroiditis (HT) is the main cause of hypothyroidism. We develop a deep learning model c...

The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.

This is a review focused on advances and current limitations of computer vision (CV) and how CV can ...

Deep Learning-based Post Hoc CT Denoising for Myocardial Delayed Enhancement.

Background To improve myocardial delayed enhancement (MDE) CT, a deep learning (DL)-based post hoc d...

Robot-assisted anterior resection for rectal cancer with double inferior vena cava: A case report.

Double inferior vena cava (DIVC) is a rare but generally asymptomatic condition that is often detect...

Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation.

OBJECTIVES: Automated whole brain segmentation from magnetic resonance images is of great interest f...

Deep Learning-Based Real-Time Discriminate Correlation Analysis for Breast Cancer Detection.

Breast cancer is the most common cancer in women, and the breast mass recognition model can effectiv...

Active learning of causal structures with deep reinforcement learning.

We study the problem of experiment design to learn causal structures from interventional data. We co...

Deep learning based low-activity PET reconstruction of [C]PiB and [F]FE-PE2I in neurodegenerative disorders.

PURPOSE: Positron Emission Tomography (PET) can support a diagnosis of neurodegenerative disorder by...

Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.

BACKGROUND: Recently, computed tomography (CT) manufacturers have developed deep-learning-based reco...

Application of Recurrent Neural Network Algorithm in Intelligent Detection of Clinical Ultrasound Images of Human Lungs.

Lung ultrasound has great application value in the differential diagnosis of pulmonary exudative les...

Artificial Intelligence Curriculum Needs Assessment for a Pediatric Radiology Fellowship Program: What, How, and Why?

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) holds enormous potential for improvements in ...

Eliminating CT radiation for clinical PET examination using deep learning.

Clinical PET/CT examinations rely on CT modality for anatomical localization and attenuation correct...

Prediction of Motor Outcome of Stroke Patients Using a Deep Learning Algorithm with Brain MRI as Input Data.

BACKGROUND: Deep learning techniques can outperform traditional machine learning techniques and lear...

Multimodal Magnetic Resonance Imaging to Diagnose Knee Osteoarthritis under Artificial Intelligence.

This work aimed to investigate the application value of the multimodal magnetic resonance imaging (M...

Editorial for "Perfusion Maps Acquired from Dynamic Angiography MRI Using Deep Learning Approaches".

Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI.

Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary imaging is a...

Perfusion Maps Acquired From Dynamic Angiography MRI Using Deep Learning Approaches.

BACKGROUND: A typical stroke MRI protocol includes perfusion-weighted imaging (PWI) and MR angiograp...

A neural network-based algorithm for simultaneous event positioning and timestamping in monolithic scintillators.

. Monolithic scintillator crystals coupled to silicon photomultiplier (SiPM) arrays are promising de...