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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 10711-10731 of 14,697 articles

Deep Learning Radiopathomics Models Based on Contrast-enhanced MRI and Pathologic Imaging for Predicting Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.

Purpose To develop deep learning (DL) radiopathomics models based on contrast-enhanced MRI and patho...

Mar 2025 40084948

Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader.

Background The ScreenTrustCAD trial was a prospective study that evaluated the cancer detection rate...

Mar 2025 40100021

[Evaluating the accuracy of large language models in answering mammography screening questions in Italian and English: a study based on the Eusobi guidelines.].

INTRODUCTION: Artificial intelligence (AI) is transforming various aspects of everyday life, includi...

Mar 2025 40084446

A Non-contrast Head CT Foundation Model for Comprehensive Neuro-Trauma Triage

Recent advancements in AI and medical imaging offer transformative potential in emergency head CT ...

Feb 2025 http://arxiv.org/abs/2502.21106v1

Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport

Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image ...

Feb 2025 http://arxiv.org/abs/2502.21049v1

Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty

Quantitative magnetic resonance imaging (qMRI) requires multi-phase acqui-sition, often relying on...

Feb 2025 http://arxiv.org/abs/2502.20877v1

Delta-WKV: A Novel Meta-in-Context Learner for MRI Super-Resolution

Magnetic Resonance Imaging (MRI) Super-Resolution (SR) addresses the challenges such as long scan ...

Feb 2025 http://arxiv.org/abs/2502.20852v1

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis

Developing interpretable models for diagnosing neurodevelopmental disorders (NDDs) is highly valua...

Feb 2025 http://arxiv.org/abs/2502.20769v1

Glioma Classification using Multi-sequence MRI and Novel Wavelets-based Feature Fusion

Glioma, a prevalent and heterogeneous tumor originating from the glial cells, can be differentiate...

Feb 2025 http://arxiv.org/abs/2502.20715v1

SST-DUNet: Automated preclinical functional MRI skull stripping using Smart Swin Transformer and Dense UNet

Skull stripping is a common preprocessing step that is often performed manually in Magnetic Resona...

Feb 2025 http://arxiv.org/abs/2504.19937v1

Do computer vision foundation models learn the low-level characteristics of the human visual system?

Computer vision foundation models, such as DINO or OpenCLIP, are trained in a self-supervised mann...

Feb 2025 http://arxiv.org/abs/2502.20256v2

Multi-modal Contrastive Learning for Tumor-specific Missing Modality Synthesis

Multi-modal magnetic resonance imaging (MRI) is essential for providing complementary information ...

Feb 2025 http://arxiv.org/abs/2502.19390v2

Zero Echo Time Functional MRI in Humans

Motivation: Conventional echo planar imaging(EPI) based functional MRI(fMRI) uses the BOLD contras...

Feb 2025 http://arxiv.org/abs/2502.19146v1

From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review

Whole slide image (WSI) registration is an essential task for analysing the tumour microenvironmen...

Feb 2025 http://arxiv.org/abs/2502.19123v1

Subclass Classification of Gliomas Using MRI Fusion Technique

Glioma, the prevalent primary brain tumor, exhibits diverse aggressiveness levels and prognoses. P...

Feb 2025 http://arxiv.org/abs/2502.18775v1

eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR

eXplainMR is a Mixed Reality tutoring system designed for basic cardiac surface ultrasound trainin...

Feb 2025 http://arxiv.org/abs/2502.18640v1

Diffusion Models for conditional MRI generation

In this article, we present a Latent Diffusion Model (LDM) for the generation of brain Magnetic Re...

Feb 2025 http://arxiv.org/abs/2502.18620v1

A Novel Retinal Image Contrast Enhancement -- Fuzzy-Based Method

The vascular structure in retinal images plays a crucial role in ophthalmic diagnostics, and its a...

Feb 2025 http://arxiv.org/abs/2502.17850v2

TagGAN: A Generative Model for Data Tagging

Precise identification and localization of disease-specific features at the pixel-level are partic...

Feb 2025 http://arxiv.org/abs/2502.17836v1

SynthRAD2025 Grand Challenge dataset: generating synthetic CTs for radiotherapy

Medical imaging is essential in modern radiotherapy, supporting diagnosis, treatment planning, and...

Feb 2025 http://arxiv.org/abs/2502.17609v1

RELICT: A Replica Detection Framework for Medical Image Generation

Despite the potential of synthetic medical data for augmenting and improving the generalizability ...

Feb 2025 http://arxiv.org/abs/2502.17360v1