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 10564-10584 of 14,697 articles
Improving the generalization of deep learning models in the segmentation of mammography images

Mammography stands as the main screening method for detecting breast cancer early, enhancing treat...

NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text

Integrating functional magnetic resonance imaging (fMRI) connectivity data with phenotypic textual...

Comprehensive segmentation of deep grey nuclei from structural MRI data

Motivation: Lack of tools for comprehensive and complete segmentation of deep grey nuclei using a ...

iMedImage Technical Report

Background: Chromosome karyotype analysis is crucial for diagnosing hereditary diseases, yet detec...

Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI

Cardiac real-time magnetic resonance imaging (MRI) is an emerging technology that images the heart...

Implicit neural representations for end-to-end PET reconstruction

Implicit neural representations (INRs) have demonstrated strong capabilities in various medical im...

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound

Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultras...

AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction

Lung cancer remains one of the leading causes of cancer-related mortality worldwide. A crucial cha...

Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification

The rapid increase in the number of Computed Tomography (CT) scan examinations has created an urge...

Mamba-3D as Masked Autoencoders for Accurate and Data-Efficient Analysis of Medical Ultrasound Videos

Ultrasound videos are an important form of clinical imaging data, and deep learning-based automate...

SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI

Despite that deep learning (DL) methods have presented tremendous potential in many medical image ...

GRN+: A Simplified Generative Reinforcement Network for Tissue Layer Analysis in 3D Ultrasound Images for Chronic Low-back Pain

3D ultrasound delivers high-resolution, real-time images of soft tissues, which is essential for p...

InterSliceBoost: Identifying Tissue Layers in Three-dimensional Ultrasound Images for Chronic Lower Back Pain (cLBP) Assessment

Available studies on chronic lower back pain (cLBP) typically focus on one or a few specific tissu...

TrackRAD2025 challenge dataset: Real-time tumor tracking for MRI-guided radiotherapy

Purpose: Magnetic resonance imaging (MRI) to visualize anatomical motion is becoming increasingly ...

Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging

Whole-heart segmentation from CT and MRI scans is crucial for cardiovascular disease analysis, yet...

Learning to segment anatomy and lesions from disparately labeled sources in brain MRI

Segmenting healthy tissue structures alongside lesions in brain Magnetic Resonance Images (MRI) re...

Dual-domain Multi-path Self-supervised Diffusion Model for Accelerated MRI Reconstruction

Magnetic resonance imaging (MRI) is a vital diagnostic tool, but its inherently long acquisition t...

Browse Categories