Radiology

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Vision-Language Models vs Human: Perceptual Image Quality Assessment

Psychophysical experiments remain the most reliable approach for perceptual image quality assessment...

Mamba-driven MRI-to-CT Synthesis for MRI-only Radiotherapy Planning

Radiotherapy workflows for oncological patients increasingly rely on multi-modal medical imaging, co...

Curriculum-Driven 3D CT Report Generation via Language-Free Visual Grafting and Zone-Constrained Compression

Automated radiology report generation from 3D computed tomography (CT) volumes is challenging due to...

Single-Subject Multi-View MRI Super-Resolution via Implicit Neural Representations

Clinical MRI frequently acquires anisotropic volumes with high in-plane resolution and low through-p...

Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging

Though self-supervised learning (SSL) has demonstrated incredible ability to learn robust representa...

Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition

Full data acquisition in MRI is inherently slow, which limits clinical throughput and increases pati...

Clinical Graph-Mediated Distillation for Unpaired MRI-to-CFI Hypertension Prediction

Retinal fundus imaging enables low-cost and scalable hypertension (HTN) screening, but HTN-related r...

Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentation

Accurate segmentation of coronary arteries from computed tomography angiography (CTA) images is of p...

SHAPE: Structure-aware Hierarchical Unsupervised Domain Adaptation with Plausibility Evaluation for Medical Image Segmentation

Unsupervised Domain Adaptation (UDA) is essential for deploying medical segmentation models across d...

When Minor Edits Matter: LLM-Driven Prompt Attack for Medical VLM Robustness in Ultrasound

Ultrasound is widely used in clinical practice due to its portability, cost-effectiveness, safety, a...

Representation-Level Adversarial Regularization for Clinically Aligned Multitask Thyroid Ultrasound Assessment

Thyroid ultrasound is the first-line exam for assessing thyroid nodules and determining whether biop...

Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisition

Cardiac ultrasound diagnosis is critical for cardiovascular disease assessment, but acquiring standa...

Enhancing Brain Tumor Classification Using Vision Transformers with Colormap-Based Feature Representation on BRISC2025 Dataset

Accurate classification of brain tumors from magnetic resonance imaging (MRI) plays a critical role ...

A Unified Platform and Quality Assurance Framework for 3D Ultrasound Reconstruction with Robotic, Optical, and Electromagnetic Tracking

Three-dimensional (3D) Ultrasound (US) can facilitate diagnosis, treatment planning, and image-guide...

Clinical Research Collaboration for Stroke in Korea Imaging Repository:A Prospective Multicenter Neuroimaging Repository

Background: Prospective stroke registries have advanced our understanding of cerebrovascular disease...

X-Cell: Scaling Causal Perturbation Prediction Across Diverse Cellular Contexts via Diffusion Language Models

Causal models of cellular systems hold the promise to empower broad biological discovery, including ...

AURORA: Adaptive Unified Representation for Robust Ultrasound Analysis

Ultrasound images vary widely across scanners, operators, and anatomical targets, which often causes...

TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis

Contrast-enhanced magnetic resonance imaging (CE-MRI) plays a crucial role in brain tumor assessment...

Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images

Prostate cancer is a leading cause of mortality in men, yet interpretation of T2-weighted prostate M...

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