Radiology

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

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Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning

Purpose: To develop a data-efficient strategy for accelerated MRI reconstruction with Diffusion Prob...

Causal Cellular Context Transfer Learning (C3TL): An Efficient Architecture for Prediction of Unseen Perturbation Effects

Predicting the effects of chemical and genetic perturbations on quantitative cell states is a centra...

Diffusion-Based Feature Denoising and Using NNMF for Robust Brain Tumor Classification

Brain tumor classification from magnetic resonance imaging, which is also known as MRI, plays a sens...

TumorCLIP: Lightweight Vision-Language Fusion for Explainable MRI-Based Brain Tumor Classification

Accurate classification of brain tumors from MRI is critical for guiding clinical decision-making; h...

Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography

Positron emission tomography (PET) is a key nuclear medicine imaging modality that visualizes radiot...

Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning

The differentiation between tumor recurrence and radiation-induced contrast enhancements in post-tre...

Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting

Structured radiology reporting promises faster, more consistent communication than free text, but au...

Paper Title: LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments

Longitudinal brain MRI is essential for characterizing the progression of neurological diseases such...

Evidential learning driven Breast Tumor Segmentation with Stage-divided Vision-Language Interaction

Breast cancer is one of the most common causes of death among women worldwide, with millions of fata...

MRI2Qmap: multi-parametric quantitative mapping with MRI-driven denoising priors

Magnetic Resonance Fingerprinting (MRF) and other highly accelerated transient-state parameter mappi...

Integrating AI-powered automated neurovascular bundle segmentation and radiomics for prostate cancer staging

Background: Assessment of the prostatic neurovascular bundles on MRI is clinically relevant for stag...

PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation

PET/CT imaging is pivotal in oncology and nuclear medicine, yet summarizing complex findings into pr...

UltrasoundAgents: Hierarchical Multi-Agent Evidence-Chain Reasoning for Breast Ultrasound Diagnosis

Breast ultrasound diagnosis typically proceeds from global lesion localization to local sign assessm...

Bridging the Skill Gap in Clinical CBCT Interpretation with CBCTRepD

Generative AI has advanced rapidly in medical report generation; however, its application to oral an...

Med-DualLoRA: Local Adaptation of Foundation Models for 3D Cardiac MRI

Foundation models (FMs) show great promise for robust downstream performance across medical imaging ...

FusionNet: a frame interpolation network for 4D heart models

Cardiac magnetic resonance (CMR) imaging is widely used to visualise cardiac motion and diagnose hea...

Automated Segmentation of Intracranial Arteries on 4D Flow MRI for Hemodynamic Quantification

Accurate vessel segmentation is essential for reliable hemodynamic quantification in 4D Flow MRI. Au...

UniField: A Unified Field-Aware MRI Enhancement Framework

Magnetic Resonance Imaging (MRI) field-strength enhancement holds immense value for both clinical di...

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