Radiology

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

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Diagnostic tools in respiratory medicine (Review).

Recent advancements in diagnostic technologies have significantly transformed the landscape of respi...

Jul 2025 40420977
Multi-task learning for joint prediction of breast cancer histological indicators in dynamic contrast-enhanced magnetic resonance imaging.

OBJECTIVES: Achieving efficient analysis of multiple pathological indicators has great significance ...

Jul 2025 40334302
A diffusion-stimulated CT-US registration model with self-supervised learning and synthetic-to-real domain adaptation.

In abdominal interventional procedures, achieving precise registration of 2D ultrasound (US) frames ...

Jul 2025 40344746
Machine learning approaches for classifying major depressive disorder using biological and neuropsychological markers: A meta-analysis.

Traditional diagnostic methods for major depressive disorder (MDD), which rely on subjective assessm...

Jul 2025 40354957
Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images.

Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo...

Jul 2025 40359725
SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images.

Quality control (QC) of structures segmentation in volumetric medical images is important for identi...

Jul 2025 40373660
REPAIR: Reciprocal assistance imputation-representation learning for glioma diagnosis with incomplete MRI sequences.

The absence of MRI sequences is a common occurrence in clinical practice, posing a significant chall...

Jul 2025 40378558
A review of explainable AI techniques and their evaluation in mammography for breast cancer screening.

Explainable AI (XAI) methods are gaining prominence in medical imaging, addressing the critical need...

Jul 2025 40378639
A survey of deep-learning-based radiology report generation using multimodal inputs.

Automatic radiology report generation can alleviate the workload for physicians and minimize regiona...

Jul 2025 40382855
Automatic transformer-based grading of multiple retinal inflammatory signs in uveitis on fluorescein angiography.

BACKGROUND: Grading fluorescein angiography (FA) for uveitis is complex, often leading to the oversi...

Jul 2025 40403640
Meta-analysis of AI-based pulmonary embolism detection: How reliable are deep learning models?

RATIONALE AND OBJECTIVES: Deep learning (DL)-based methods show promise in detecting pulmonary embol...

Jul 2025 40412084
Artificial intelligence based malignant lymphoma type prediction using enhanced super resolution image and hybrid feature extraction algorithm.

In the medical field, the most common and frequent type of blood cancer is lymphoma. Accurately pred...

Jul 2025 40450823
SHFormer: Dynamic spectral filtering convolutional neural network and high-pass kernel generation transformer for adaptive MRI reconstruction.

Attention Mechanism (AM) selectively focuses on essential information for imaging tasks and captures...

Jul 2025 40086134
$μ^2$Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation

Automated radiology report generation (RRG) aims to produce detailed textual reports from clinical...

Multimodal, Multi-Disease Medical Imaging Foundation Model (MerMED-FM)

Current artificial intelligence models for medical imaging are predominantly single modality and s...

Supervised Diffusion-Model-Based PET Image Reconstruction

Diffusion models (DMs) have recently been introduced as a regularizing prior for PET image reconst...

GroundingDINO-US-SAM: Text-Prompted Multi-Organ Segmentation in Ultrasound with LoRA-Tuned Vision-Language Models

Accurate and generalizable object segmentation in ultrasound imaging remains a significant challen...

MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction

Magnetic Resonance Imaging (MRI) reconstruction is essential in medical diagnostics. As the latest...

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