Radiology

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

14,697 articles
Stay Ahead - Weekly Radiology research updates
Subscribe
Browse Categories
Showing 10459-10479 of 14,697 articles
Light Weight CNN for classification of Brain Tumors from MRI Images

This study presents a convolutional neural network (CNN)-based approach for the multi-class classi...

LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic Insight

This study integrates PET metabolic information with CT anatomical structures to establish a 3D mu...

SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses

While deep learning has shown strong performance in musculoskeletal imaging, existing work has lar...

Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images

This paper proposes an Incremental Learning (IL) approach to enhance the accuracy and efficiency o...

Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation

Lumbar disc herniation (LDH) is a common musculoskeletal disease that requires magnetic resonance ...

Improving Generalization in MRI-Based Deep Learning Models for Total Knee Replacement Prediction

Knee osteoarthritis (KOA) is a common joint disease that causes pain and mobility issues. While MR...

Video CLIP Model for Multi-View Echocardiography Interpretation

Echocardiography involves recording videos of the heart using ultrasound, enabling clinicians to e...

Iterative Event-based Motion Segmentation by Variational Contrast Maximization

Event cameras provide rich signals that are suitable for motion estimation since they respond to c...

Nearly isotropic segmentation for medial temporal lobe subregions in multi-modality MRI

Morphometry of medial temporal lobe (MTL) subregions in brain MRI is sensitive biomarker to Alzhei...

HepatoGEN: Generating Hepatobiliary Phase MRI with Perceptual and Adversarial Models

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays a crucial role in the detecti...

Towards a deep learning approach for classifying treatment response in glioblastomas

Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...

Towards a deep learning approach for classifying treatment response in glioblastomas

Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...

Physiological neural representation for personalised tracer kinetic parameter estimation from dynamic PET

Dynamic positron emission tomography (PET) with [$^{18}$F]FDG enables non-invasive quantification ...

Anatomy-constrained modelling of image-derived input functions in dynamic PET using multi-organ segmentation

Accurate kinetic analysis of [$^{18}$F]FDG distribution in dynamic positron emission tomography (P...

3D-1D modelling of cranial plate heating induced by low or medium frequency magnetic fields

Safety assessment of patients with one-dimensionally structured passive implants, like cranial pla...

Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images

This study performs a comprehensive evaluation of quantitative measurements as extracted from auto...

A detection-task-specific deep-learning method to improve the quality of sparse-view myocardial perfusion SPECT images

Myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT) is a wi...

Benchmarking the Reproducibility of Brain MRI Segmentation Across Scanners and Time

Accurate and reproducible brain morphometry from structural MRI is critical for monitoring neuroan...

Browse Categories