Radiology

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

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ESICA: A Scalable Framework for Text-Guided 3D Medical Image Segmentation

Text guided 3D medical image segmentation offers a flexible alternative to class based and spatial p...

EXACT: an explainable anomaly-aware vision foundation model for analysis of 3D chest CT

Chest computed tomography (CT) is central to the detection and management of thoracic disease, yet t...

Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction

Wide Field-of-View (WFoV) reconstruction enhances 3D ultrasound imaging by providing valuable anatom...

Point Cloud Registration for Fusion between SPECT MPI and CTA Images

Clinical fusion of Single Photon Emission Computed Tomography Myocardial Perfusion Imaging (SPECT MP...

Comparative Study of Weighted and Coupled Second- and Fourth-Order PDEs for Image Despeckling in Grayscale, Color, SAR, and Ultrasound

Partial Differential Equation (PDE)-based approaches have gained significant attention in image desp...

VitaminP: cross-modal learning enables whole-cell segmentation from routine histology

Accurate whole-cell and nuclear segmentation is essential for precision pathology and spatial omics,...

Focus on What Matters: Two-Stage ROI-Aware Refinement for Anatomy-Preserving Fetal Ultrasound Reconstruction

Measurement-critical ultrasound tasks often depend on a small anatomical region, making global recon...

Mammographic Lesion Segmentation with Lightweight Models: A Comparative Study

Breast cancer is a leading cause of cancer-related mortality among women worldwide, with mammography...

GlioVision: A Multi-Modal MRI Framework for Non-Invasive Glioma Molecular Biomarkers Prediction

Gliomas are aggressive primary brain tumors that necessitate critical molecular biomarker prediction...

CGC: Compositional Grounded Contrast for Fine-Grained Multi-Image Understanding

Although Multimodal Large Language Models (MLLMs) have advanced rapidly, they still face notable cha...

Are Natural-Domain Foundation Models Effective for Accelerated Cardiac MRI Reconstruction?

The emergence of large-scale pretrained foundation models has transformed computer vision, enabling ...

How Many Visual Levers Drive Urban Perception? Interventional Counterfactuals via Multiple Localised Edits

Street-view perception models predict subjective attributes such as safety at scale, but remain corr...

Accessible and Reproducible Renal Cell Carcinoma Research Through Open-Sourcing Data and Annotations

Background: Medical imaging, especially computed tomography and magnetic resonance imaging, is essen...

Recovering Clinical Detail in AI-Generated Responses for Low Back Pain Through Prompt Design

Introduction Large language models are increasingly being used in healthcare. In interventional pain...

an interpretable vision transformer framework for automated brain tumor classification

Brain tumors represent one of the most critical neurological conditions, where early and accurate di...

PanGuide3D: Cohort-Robust Pancreas Tumor Segmentation via Probabilistic Pancreas Conditioning and a Transformer Bottleneck

Pancreatic tumor segmentation in contrast-enhanced computed tomography (CT) is clinically important ...

WFM: 3D Wavelet Flow Matching for Ultrafast Multi-Modal MRI Synthesis

Diffusion models have achieved remarkable quality in multi-modal MRI synthesis, but their computatio...

Physics-Informed Conditional Diffusion for Motion-Robust Retinal Temporal Laser Speckle Contrast Imaging

Retinal laser speckle contrast imaging (LSCI) is a noninvasive optical modality for monitoring retin...

Structure-Adaptive Sparse Diffusion in Voxel Space for 3D Medical Image Enhancement

Three-dimensional (3D) medical image enhancement, including denoising and super-resolution, is criti...

AI Approach for MRI-only Full-Spine Vertebral Segmentation and 3D Reconstruction in Paediatric Scoliosis

MRI is preferred over CT in paediatric imaging because it avoids ionising radiation, but its use in ...

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