Radiology

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

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EdgeSRIE: A hybrid deep learning framework for real-time speckle reduction and image enhancement on portable ultrasound systems

Speckle patterns in ultrasound images often obscure anatomical details, leading to diagnostic unce...

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans

Focal liver lesions (FLL) are common clinical findings during physical examination. Early diagnosi...

Segmentation of separated Lumens in 3D CTA images of Aortic Dissection

Aortic dissection is a serious pathology and requires an emergency management. It is characterized...

An Advanced Deep Learning Framework for Ischemic and Hemorrhagic Brain Stroke Diagnosis Using Computed Tomography (CT) Images

Brain stroke is one of the leading causes of mortality and long-term disability worldwide, highlig...

Hybrid-View Attention Network for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound

Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, and accurate identifi...

Hybrid-View Attention for csPCa Classification in TRUS

Prostate cancer (PCa) is a leading cause of cancer-related mortality in men, and accurate identifi...

Adaptive Gate-Aware Mamba Networks for Magnetic Resonance Fingerprinting

Magnetic Resonance Fingerprinting (MRF) enables fast quantitative imaging by matching signal evolu...

Outcome prediction and individualized treatment effect estimation in patients with large vessel occlusion stroke

Mechanical thrombectomy has become the standard of care in patients with stroke due to large vesse...

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis

Recent evidence suggests that modeling higher-order interactions (HOIs) in functional magnetic res...

3D Heart Reconstruction from Sparse Pose-agnostic 2D Echocardiographic Slices

Echocardiography (echo) plays an indispensable role in the clinical practice of heart diseases. Ho...

CineMyoPS: Segmenting Myocardial Pathologies from Cine Cardiac MR

Myocardial infarction (MI) is a leading cause of death worldwide. Late gadolinium enhancement (LGE...

Modality-agnostic, patient-specific digital twins modeling temporally varying digestive motion

Objective: Clinical implementation of deformable image registration (DIR) requires voxel-based spa...

A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs

Low-dose computed tomography (LDCT) imaging employed in lung cancer screening (LCS) programs is in...

Medical-Knowledge Driven Multiple Instance Learning for Classifying Severe Abdominal Anomalies on Prenatal Ultrasound

Fetal abdominal malformations are serious congenital anomalies that require accurate diagnosis to ...

Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality.

The integration of artificial intelligence (AI) in cancer research has significantly advanced radiol...

Jul 2025 40598940
Rapid Salient Object Detection with Difference Convolutional Neural Networks

This paper addresses the challenge of deploying salient object detection (SOD) on resource-constra...

SonoGym: High Performance Simulation for Challenging Surgical Tasks with Robotic Ultrasound

Ultrasound (US) is a widely used medical imaging modality due to its real-time capabilities, non-i...

MTCNet: Motion and Topology Consistency Guided Learning for Mitral Valve Segmentationin 4D Ultrasound

Mitral regurgitation is one of the most prevalent cardiac disorders. Four-dimensional (4D) ultraso...

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