Radiology

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

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Standardisation of Convex Ultrasound Data Through Geometric Analysis and Augmentation

The application of ultrasound in healthcare has seen increased diversity and importance. Unlike ot...

A Physics-Informed Deep Learning Model for MRI Brain Motion Correction

Background: MRI is crucial for brain imaging but is highly susceptible to motion artifacts due to ...

MRUCT: Mixed Reality Assistance for Acupuncture Guided by Ultrasonic Computed Tomography

Chinese acupuncture practitioners primarily depend on muscle memory and tactile feedback to insert...

Rapid Whole Brain Motion-robust Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation

High-resolution whole-brain in vivo MR imaging at mesoscale resolutions remains challenging due to...

Ultrasound Image Generation using Latent Diffusion Models

Diffusion models for image generation have been a subject of increasing interest due to their abil...

Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion

The growing availability of longitudinal Magnetic Resonance Imaging (MRI) datasets has facilitated...

From Brainwaves to Brain Scans: A Robust Neural Network for EEG-to-fMRI Synthesis

While functional magnetic resonance imaging (fMRI) offers valuable insights into brain activity, i...

Automatic Prostate Volume Estimation in Transabdominal Ultrasound Images

Prostate cancer is a leading health concern among men, requiring accurate and accessible methods f...

The establishment of static digital humans and the integration with spinal models

Adolescent idiopathic scoliosis (AIS), a prevalent spinal deformity, significantly affects individ...

Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections

PET is a functional imaging method that visualizes metabolic processes. TOF information can be der...

Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis

Background. Recently, dynamic total-body positron emission tomography (PET) imaging has become pos...

Explaining 3D Computed Tomography Classifiers with Counterfactuals

Counterfactual explanations enhance the interpretability of deep learning models in medical imagin...

Can ChatGPT Diagnose Alzheimer's Disease?

Can ChatGPT diagnose Alzheimer's Disease (AD)? AD is a devastating neurodegenerative condition tha...

Multi-Scale Feature Fusion with Image-Driven Spatial Integration for Left Atrium Segmentation from Cardiac MRI Images

Accurate segmentation of the left atrium (LA) from late gadolinium-enhanced magnetic resonance ima...

Evaluation of Vision Transformers for Multimodal Image Classification: A Case Study on Brain, Lung, and Kidney Tumors

Neural networks have become the standard technique for medical diagnostics, especially in cancer d...

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge

Multi-class segmentation of the aorta in computed tomography angiography (CTA) scans is essential ...

Graph Contrastive Learning for Connectome Classification

With recent advancements in non-invasive techniques for measuring brain activity, such as magnetic...

Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation

Medical ultrasound has been widely used to examine vascular structure in modern clinical practice....

MedMimic: Physician-Inspired Multimodal Fusion for Early Diagnosis of Fever of Unknown Origin

Fever of unknown origin FUO remains a diagnostic challenge. MedMimic is introduced as a multimodal...

Reducing the workload of medical diagnosis through artificial intelligence: A narrative review.

Artificial intelligence (AI) has revolutionized medical diagnostics by enhancing efficiency, improvi...

Feb 2025 39928829
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