Radiology

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

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Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data

Segmenting stroke lesions in Magnetic Resonance Imaging (MRI) is challenging due to diverse clinic...

Switchable deep beamformer for high-quality and real-time passive acoustic mapping

Passive acoustic mapping (PAM) is a promising tool for monitoring acoustic cavitation activities i...

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation

The segmentation of endoscopic images plays a vital role in computer-aided diagnosis and treatment...

U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities

Medical imaging is essential in healthcare to provide key insights into patient anatomy and pathol...

MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

Colorectal cancer is a prevalent form of cancer, and many patients develop colorectal cancer liver...

Deep Guess acceleration for explainable image reconstruction in sparse-view CT

Sparse-view Computed Tomography (CT) is an emerging protocol designed to reduce X-ray dose radiati...

Take Your Steps: Hierarchically Efficient Pulmonary Disease Screening via CT Volume Compression

Deep learning models are widely used to process Computed Tomography (CT) data in the automated scr...

Tomographic SAR Reconstruction for Forest Height Estimation

Tree height estimation serves as an important proxy for biomass estimation in ecological and fores...

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer

Accurate segmentation of gross tumor volume (GTV) is essential for effective MRI-guided adaptive r...

Diagnostic Performance of AI-enabled Plaque Quantification from Coronary CT Angiography Compared with Intravascular Ultrasound.

Purpose To assess the diagnostic performance of a coronary CT angiography (CCTA) artificial intellig...

Dec 2024 39540820
Accelerated Cardiac MRI with Deep Learning-based Image Reconstruction for Cine Imaging.

Purpose To assess the influence of deep learning (DL)-based image reconstruction on acquisition time...

Dec 2024 39540821
Understanding Occlusion and Temporomandibular Joint Function Using Deep Learning and Predictive Modeling.

OBJECTIVES: Advancements in artificial intelligence (AI)-driven predictive modeling in dentistry are...

Dec 2024 39563180
Advancements in Cardiac CT Imaging: The Era of Artificial Intelligence.

In the last decade, artificial intelligence (AI) has influenced the field of cardiac computed tomogr...

Dec 2024 39584228
A multimodal vision transformer for interpretable fusion of functional and structural neuroimaging data.

Multimodal neuroimaging is an emerging field that leverages multiple sources of information to diagn...

Dec 2024 39600159
[Application progress and future prospects of interventional robotics in vascular injury hemostasis].

The field of traumatic hemostasis is currently confronted with numerous challenges, particularly in ...

Dec 2024 39606991
Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages.

Background High-quality translations of radiology reports are essential for optimal patient care. Be...

Dec 2024 39688492
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