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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 10795-10815 of 14,697 articles

Dark Brain Energy: Toward an Integrative Model of Spontaneous Slow Oscillations

Neural oscillations facilitate the functioning of the human brain in spatial and temporal dimensio...

Feb 2025 http://arxiv.org/abs/2502.04574v1

Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction

Although learning-based models hold great promise for MRI reconstruction, single-site models built...

Feb 2025 http://arxiv.org/abs/2502.04521v2

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic reso...

Feb 2025 http://arxiv.org/abs/2502.04493v2

Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation

Neoadjuvant chemotherapy (NAC) has become a standard clinical practice for tumor downsizing in bre...

Feb 2025 http://arxiv.org/abs/2502.04083v1

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma

Accurate differentiation of pseudoprogression (PsP) from True Progression (TP) following radiother...

Feb 2025 http://arxiv.org/abs/2502.03999v1

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation

Deep learning-based medical image segmentation models, such as U-Net, rely on high-quality annotat...

Feb 2025 http://arxiv.org/abs/2502.03825v1

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction

Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. How...

Feb 2025 http://arxiv.org/abs/2502.03783v2

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation

Domain adaptation (DA) for cardiac ultrasound image segmentation is clinically significant and val...

Feb 2025 http://arxiv.org/abs/2502.03781v1

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC), ranking as the third leading cause of cancer-related mortality wor...

Feb 2025 http://arxiv.org/abs/2502.03772v2

Brain Tumor Identification using Improved YOLOv8

Identifying the extent of brain tumors is a significant challenge in brain cancer treatment. The m...

Feb 2025 http://arxiv.org/abs/2502.03746v2

Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning

This study introduces a motion-based learning network with a global-local self-attention module (M...

Feb 2025 http://arxiv.org/abs/2502.03505v1

The role of the dopamine system in autism spectrum disorder revealed using machine learning: an ABIDE database-based study.

This study explores the diagnostic value of dopamine system imaging characteristics in children with...

Feb 2025 40036245

CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models

Deep learning models for medical image classification tasks are becoming widely implemented in AI-...

Feb 2025 http://arxiv.org/abs/2502.05214v2

3D Foundation AI Model for Generalizable Disease Detection in Head Computed Tomography

Head computed tomography (CT) imaging is a widely-used imaging modality with multitudes of medical...

Feb 2025 http://arxiv.org/abs/2502.02779v1

Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images

This study proposes a new loss function for deep neural networks, L1-weighted Dice Focal Loss (L1D...

Feb 2025 http://arxiv.org/abs/2502.02756v1

AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a medical imaging technique that...

Feb 2025 http://arxiv.org/abs/2502.02555v2

Browse Categories

Dark Brain Energy: Toward an Integrative Model of Spontaneous Slow Oscillations

Generative Autoregressive Transformers for Model-Agnostic Federated MRI Reconstruction

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

Automatic quantification of breast cancer biomarkers from multiple 18F-FDG PET image segmentation

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma

Synthetic Poisoning Attacks: The Impact of Poisoned MRI Image on U-Net Brain Tumor Segmentation

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction

Gaze-Assisted Human-Centric Domain Adaptation for Cardiac Ultrasound Image Segmentation

A Retrospective Systematic Study on Hierarchical Sparse Query Transformer-assisted Ultrasound Screening for Early Hepatocellular Carcinoma

Brain Tumor Identification using Improved YOLOv8

Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning

The role of the dopamine system in autism spectrum disorder revealed using machine learning: an ABIDE database-based study.

CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models

3D Foundation AI Model for Generalizable Disease Detection in Head Computed Tomography

Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images

AAD-DCE: An Aggregated Multimodal Attention Mechanism for Early and Late Dynamic Contrast Enhanced Prostate MRI Synthesis

A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation

Exploring the Feasibility of AI-Assisted Spine MRI Protocol Optimization Using DICOM Image Metadata

ReMiDi: Reconstruction of Microstructure Using a Differentiable Diffusion MRI Simulator

Human fields and their impact on brain waves A pilot study

Assessing the use of Diffusion models for motion artifact correction in brain MRI

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