Radiology

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Deep learning-based neurodevelopmental assessment in preterm infants

Preterm infants (born between 28 and 37 weeks of gestation) face elevated risks of neurodevelopmenta...

Visual question answering-based image-finding generation for pulmonary nodules on chest CT from structured annotations

Interpretation of imaging findings based on morphological characteristics is important for diagnosin...

Bridging Modalities: Joint Synthesis and Registration Framework for Aligning Diffusion MRI with T1-Weighted Images

Multimodal image registration between diffusion MRI (dMRI) and T1-weighted (T1w) MRI images is a cri...

Vision-Language Models vs Autonomous AI Agents for Anterior Capsular Radial Folds: A Diagnostic Study

ImportanceVision-language models (VLMs) enable generalist multimodal reasoning, but their ability to...

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

BackgroundThe pancreas is essential for metabolic homeostasis. Alterations in morphology and parench...

TomoSegNet: Augmented membrane segmentation for cryo-electron tomography by simulating the cellular context

Membrane segmentation is an essential task in the workflow for processing cryo-electron tomography d...

Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer

Accurate survival prediction in Non-Small Cell Lung Cancer (NSCLC) requires the integration of heter...

Deep learning enables diagnosis of atrial cardiomyopathy from routine 12-lead electrocardiogram

BackgroundAtrial cardiomyopathy (AtCM) is both a cause and a consequence of atrial fibrillation and ...

Predicting intervertebral disc degeneration using Pyradiomics features and XGBoost classification

BackgroundDisc degeneration is the primary cause of low back pain, although the disc itself is not u...

Onco-Seg: Adapting Promptable Concept Segmentation for Multi-Modal Medical Imaging

Medical image segmentation remains a critical bottleneck in clinical workflows, from diagnostic radi...

MorphoLearn: A morphology-driven workflow to decipher 3D electron microscopy segmentation in diatoms

Three-dimensional electron microscopy (3D EM) enables the quantitative analysis of cellular ultrastr...

POWDR: Pathology-preserving Outpainting with Wavelet Diffusion for 3D MRI

Medical imaging datasets often suffer from class imbalance and limited availability of pathology-ric...

Frequency Error-Guided Under-sampling Optimization for Multi-Contrast MRI Reconstruction

Magnetic resonance imaging (MRI) plays a vital role in clinical diagnostics, yet it remains hindered...

Machine learning based diagnostics of veterinary cancer on ultrasound and optical imaging data.

Study advances current diagnostic efficiency of canine/feline (sub-)cutaneous tumors using machine l...

Dec 2025 40444796
Breast tumor diagnosis via multimodal deep learning using ultrasound B-mode and Nakagami images.

PURPOSE: We propose and evaluate multimodal deep learning (DL) approaches that combine ultrasound (U...

Nov 2025 40375887
Intelligent transformation of ultrasound-assisted novel solvent extraction plant active ingredients: Tools for machine learning and deep learning.

Ultrasound-assisted novel solvent extraction enhances plant bioactive compound yield via cavitation,...

Sep 2025 40349518
Evaluation of synthetic images derived from a neural network in pediatric brain magnetic resonance imaging.

UNLABELLED: Synthetic MRI (SyMRI) is a technique used to estimate tissue properties and generate mul...

Sep 2025 40389019
Denoising of high-resolution 3D UTE-MR angiogram data using lightweight and efficient convolutional neural networks.

High-resolution magnetic resonance angiography (∼ 50 μm MRA) data plays a critical role in the accur...

Sep 2025 40412739
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