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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 10648-10668 of 14,697 articles

Predicting early recurrence of hepatocellular carcinoma after thermal ablation based on longitudinal MRI with a deep learning approach.

BACKGROUND: Accurate prediction of early recurrence (ER) is essential to improve the prognosis of pa...

Mar 2025 40110765

Robotic Ultrasound-Guided Femoral Artery Reconstruction of Anatomically-Representative Phantoms

Femoral artery access is essential for numerous clinical procedures, including diagnostic angiogra...

Mar 2025 http://arxiv.org/abs/2503.06795v1

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets

Despite significant progress in robust deep learning techniques for mammogram breast cancer classi...

Mar 2025 http://arxiv.org/abs/2503.06759v1

X-GAN: A Generative AI-Powered Unsupervised Model for High-Precision Segmentation of Retinal Main Vessels toward Early Detection of Glaucoma

Structural changes in main retinal blood vessels serve as critical biomarkers for the onset and pr...

Mar 2025 http://arxiv.org/abs/2503.06743v2

ImplicitCell: Resolution Cell Modeling of Joint Implicit Volume Reconstruction and Pose Refinement in Freehand 3D Ultrasound

Freehand 3D ultrasound enables volumetric imaging by tracking a conventional ultrasound probe duri...

Mar 2025 http://arxiv.org/abs/2503.06686v1

MultiCo3D: Multi-Label Voxel Contrast for One-Shot Incremental Segmentation of 3D Neuroimages

3D neuroimages provide a comprehensive view of brain structure and function, aiding in precise loc...

Mar 2025 http://arxiv.org/abs/2503.06598v1

Speech Audio Generation from dynamic MRI via a Knowledge Enhanced Conditional Variational Autoencoder

Dynamic Magnetic Resonance Imaging (MRI) of the vocal tract has become an increasingly adopted ima...

Mar 2025 http://arxiv.org/abs/2503.06588v1

HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast

Most current federated learning frameworks are modeled as static processes, ignoring the dynamic c...

Mar 2025 http://arxiv.org/abs/2503.06511v1

Attention on the Wires (AttWire): A Foundation Model for Detecting Devices and Catheters in X-ray Fluoroscopic Images

Objective: Interventional devices, catheters and insertable imaging devices such as transesophagea...

Mar 2025 http://arxiv.org/abs/2503.06190v1

Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis

Cervical spondylosis, a complex and prevalent condition, demands precise and efficient diagnostic ...

Mar 2025 http://arxiv.org/abs/2503.06114v1

GrInAdapt: Scaling Retinal Vessel Structural Map Segmentation Through Grounding, Integrating and Adapting Multi-device, Multi-site, and Multi-modal Fundus Domains

Retinal vessel segmentation is critical for diagnosing ocular conditions, yet current deep learnin...

Mar 2025 http://arxiv.org/abs/2503.05991v1

LapLoss: Laplacian Pyramid-based Multiscale loss for Image Translation

Contrast enhancement, a key aspect of image-to-image translation (I2IT), improves visual quality b...

Mar 2025 http://arxiv.org/abs/2503.05974v1

SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging

Accurate segmentation of anatomical structures in ultrasound (US) images, particularly small ones,...

Mar 2025 http://arxiv.org/abs/2503.05916v1

Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation

Multi-contrast magnetic resonance imaging (MRI) plays a vital role in brain tumor segmentation and...

Mar 2025 http://arxiv.org/abs/2503.05682v1

CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning

Cardiac ultrasound (US) scanning is a commonly used techniques in cardiology to diagnose the healt...

Mar 2025 http://arxiv.org/abs/2503.05604v1

Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients

Deep learning models achieve high predictive performance but lack intrinsic interpretability, hind...

Mar 2025 http://arxiv.org/abs/2503.05424v1

Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis

Given the scarcity and cost of high-field MRI, the synthesis of high-field MRI from low-field MRI ...

Mar 2025 http://arxiv.org/abs/2503.05339v1

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation

Accurate analysis of prenatal ultrasound (US) is essential for early detection of developmental an...

Mar 2025 http://arxiv.org/abs/2503.05245v2

Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach

Magnetic Resonance Imaging (MRI) is crucial for clinical diagnostics but is hindered by prolonged ...

Mar 2025 http://arxiv.org/abs/2503.05063v2

Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes

Alzheimer's disease (AD) is a major neurodegenerative condition that affects millions around the w...

Mar 2025 http://arxiv.org/abs/2503.05031v1

Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing

Most Wearable Ultrasound (WUS) devices lack the computational power to process signals at the edge...

Mar 2025 http://arxiv.org/abs/2503.04581v1