Radiology

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

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Segmentation of stroke lesions using transformers-augmented MRI analysis.

Accurate segmentation of chronic stroke lesions from mono-spectral magnetic resonance imaging scans ...

Aug 2024 39119860
A novel sand cat swarm optimization algorithm-based SVM for diagnosis imaging genomics in Alzheimer's disease.

In recent years, brain imaging genomics has advanced significantly in revealing underlying pathologi...

Aug 2024 39147391
Knowledge-Augmented Deep Learning for Segmenting and Detecting Cerebral Aneurysms With CT Angiography: A Multicenter Study.

Background Deep learning (DL) could improve the labor-intensive, challenging processes of diagnosing...

Aug 2024 39162636
Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.

Background Artificial intelligence (AI) systems can be used to identify interval breast cancers, alt...

Aug 2024 39189901
CNN-based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma.

OBJECTIVE: Breast cancer is one of the leading cancer causes among women worldwide. It can be classi...

Aug 2024 39215495
[Deep Learning-Based Artificial Intelligence Model for Automatic Carotid Plaque Identification].

This study aims at developing a dataset for determining the presence of carotid artery plaques in ul...

Jul 2024 39155246
AutoRG-Brain: Grounded Report Generation for Brain MRI

Radiologists are tasked with interpreting a large number of images in a daily base, with the respo...

Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data

Deep learning holds immense promise for aiding radiologists in breast cancer detection. However, a...

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation

Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain function a...

Revolutionizing MRI Data Processing Using FSL: Preliminary Findings with the Fugaku Supercomputer

The amount of Magnetic resonance imaging data has grown tremendously recently, creating an urgent ...

MARVEL: MR Fingerprinting with Additional micRoVascular Estimates using bidirectional LSTMs

The Magnetic Resonance Fingerprinting (MRF) approach aims to estimate multiple MR or physiological...

The Growing Role of Artificial Intelligence and Technology in Hip and Knee Arthroplasty.

Artificial intelligence and technology have continued to evolve over recent decades, and their utili...

Jul 2024 39024590
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports

Medical images and radiology reports are crucial for diagnosing medical conditions, highlighting t...

Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network

Accurate and reliable Magnetic Resonance Imaging (MRI) analysis is particularly important for adap...

An efficient pipeline to compute patient-specific cerebral aneurysm wall tension

Cerebral aneurysm rupture, leading to subarachnoid hemorrhage with a high mortality rate, dispropo...

Large-scale parameters framework with large convolutional kernel for encoding visual fMRI activity information.

Visual encoding models often use deep neural networks to describe the brain's visual cortex response...

Jul 2024 38997209
Deep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review.

Purpose To investigate the accuracy and robustness of prostate segmentation using deep learning acro...

Jul 2024 38568094
A case of robot-assisted resection for cecum cancer with anomalous venous confluence.

There are many reports on the positional relationship between the ileocolic artery and superior mese...

Jul 2024 38631698
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