Radiology

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Risk evaluation and incidence prediction of endolymphatic hydrops using multilayer perceptron in patients with audiovestibular symptoms.

Endolymphatic hydrops (EH) has been visualized on magnetic resonance imaging (MRI) in patients with ...

Mar 2025 40101092
How Should We Evaluate Uncertainty in Accelerated MRI Reconstruction?

Reconstructing accelerated MRI is an ill-posed problem. Machine learning has recently shown great ...

Automatic quality control in multi-centric fetal brain MRI super-resolution reconstruction

Quality control (QC) has long been considered essential to guarantee the reliability of neuroimagi...

Fine-tuning Vision Language Models with Graph-based Knowledge for Explainable Medical Image Analysis

Accurate staging of Diabetic Retinopathy (DR) is essential for guiding timely interventions and pr...

The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging

We introduce the R2D2 Deep Neural Network (DNN) series paradigm for fast and scalable image recons...

Mono2D: A Trainable Monogenic Layer for Robust Knee Cartilage Segmentation on Out-of-Distribution 2D Ultrasound Data

Automated knee cartilage segmentation using point-of-care ultrasound devices and deep-learning net...

Are ECGs enough? Deep learning classification of cardiac anomalies using only electrocardiograms

Electrocardiography (ECG) is an essential tool for diagnosing multiple cardiac anomalies: it provi...

Reconstruct Anything Model: a lightweight foundation model for computational imaging

Most existing learning-based methods for solving imaging inverse problems can be roughly divided i...

Frequency selection for the diagnostic characterization of human brain tumours

The diagnosis of brain tumours is an extremely sensitive and complex clinical task that must rely ...

IA generativa aplicada a la detección del cáncer a través de Resonancia Magnética

Cognitive delegation to artificial intelligence (AI) systems is transforming scientific research b...

Posterior-Mean Denoising Diffusion Model for Realistic PET Image Reconstruction

Positron Emission Tomography (PET) is a functional imaging modality that enables the visualization...

nnInteractive: Redefining 3D Promptable Segmentation

Accurate and efficient 3D segmentation is essential for both clinical and research applications. W...

3D Medical Imaging Segmentation on Non-Contrast CT

This technical report analyzes non-contrast CT image segmentation in computer vision. It revisits ...

Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework

Deep learning has significantly advanced PET image re-construction, achieving remarkable improveme...

DDO-IN: Dual Domains Optimization for Implicit Neural Network to Eliminate Motion Artifact in Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) motion artifacts can seriously affect clinical diagnostics, makin...

Dynamic PET Image Reconstruction via Non-negative INR Factorization

The reconstruction of dynamic positron emission tomography (PET) images from noisy projection data...

2D/3D Registration of Acetabular Hip Implants Under Perspective Projection and Fully Differentiable Ellipse Fitting

This paper presents a novel method for estimating the orientation and the position of acetabular h...

A Comprehensive Survey on Magnetic Resonance Image Reconstruction

Magnetic resonance imaging (MRI) reconstruction is a fundamental task aimed at recovering high-qua...

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