Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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A Cascaded Deep Learning Framework for Detecting Aortic Dissection Using Non-contrast Enhanced Computed Tomography.

Aortic dissection (AD) is a rare but potentially fatal disease with high mortality. The aim of this ...

Nov 2021 34891855
XAI Feature Detector for Ultrasound Feature Matching.

Feature matching is a crucial component of computer vision that has various applications. With the e...

Nov 2021 34891858
Automatic Segmentation of Mandibular Ramus and Condyles.

In order to diagnose TMJ pathologies, we developed and tested a novel algorithm, MandSeg, that combi...

Nov 2021 34891864
Learned Parameters and Increment for Iterative Photoacoustic Image Reconstruction via Deep Learning.

Photoacoustic (PA) tomography is a relatively new medical imaging technique that combines traditiona...

Nov 2021 34891873
An Approach for Live Motion Correction for TRUS-MR Prostate Fusion Biopsy using Deep Learning.

TRUS-MR fusion guided biopsy highly depends on the quality of alignment between pre-operative Magnet...

Nov 2021 34891874
Deep learning based timing calibration for PET.

Neural network has been found an increasingly wide utilization in all fields. Owing to the fact that...

Nov 2021 34891918
MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation.

Automatic breast ultrasound image (BUS) segmentation is still a challenging task due to poor image q...

Nov 2021 34891920
An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images.

Cell segmentation is a common step in cell behavior analysis. Reliably and automatically segmenting ...

Nov 2021 34891922
Brain Tumors Classification for MR images based on Attention Guided Deep Learning Model.

Magnetic Resonance Imaging (MRI) technology has been widely applied to generate high-resolution imag...

Nov 2021 34891930
Nonlinear registration as an effective preprocessing technique for Deep learning based classification of disease.

A number of machine learning (ML), and particularly in recent years, deep learning (DL) approaches h...

Nov 2021 34891933
Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.

Neuropsychiatric disorders such as schizophrenia are very heterogeneous in nature and typically diag...

Nov 2021 34891938
XCloud-pFISTA: A Medical Intelligence Cloud for Accelerated MRI.

Machine learning and artificial intelligence have shown remarkable performance in accelerated magnet...

Nov 2021 34891943
A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection.

Ultrasound scanning is essential in several medical diagnostic and therapeutic applications. It is u...

Nov 2021 34891951
Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector.

Positron Emission Tomography (PET) is among the most commonly used medical imaging modalities in cli...

Nov 2021 34891961
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil.

Automatic segmentation of the prostate on Magnetic Resonance Imaging (MRI) is one of the topics on w...

Nov 2021 34891962
Learning to Generate Missing Pulse Sequence in MRI using Deep Convolution Neural Network Trained with Visual Turing Test.

Magnetic resonance imaging (MRI) is widely used in clinical applications due to its ability to acqui...

Nov 2021 34891974
A CNN and LSTM Network for Eye-Blink Classification from MRI Scanner Monitoring Videos.

Eye closure changes brain activity, so eye-blink tracking of subjects undergoing resting-state funct...

Nov 2021 34891985
Forward Model and Deep Learning Based Iterative Deconvolution for Robust Dynamic CT Perfusion.

Perfusion maps obtained from low-dose computed tomography (CT) data suffer from poor signal to noise...

Nov 2021 34892004
Robot-Assisted Electrical Impedance Scanning system for 2D Electrical Impedance Tomography tissue inspection.

The electrical impedance tomography (EIT) technology is an important medical imaging approach to sho...

Nov 2021 34892047
Motion Extraction of the Right Ventricle from 4D Cardiac Cine MRI Using A Deep Learning-Based Deformable Registration Framework.

Cardiac Cine Magnetic Resonance (CMR) Imaging has made a significant paradigm shift in medical imagi...

Nov 2021 34892062
Stratification of carotid atheromatous plaque using interpretable deep learning methods on B-mode ultrasound images.

Carotid atherosclerosis is the major cause of ischemic stroke resulting in significant rates of mort...

Nov 2021 34892085
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