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Showing 1240-1260 of 5,219 articles

Posterior-Mean Denoising Diffusion Model for Realistic PET Image Reconstruction

Positron Emission Tomography (PET) is a functional imaging modality that enables the visualization...

Mar 2025 http://arxiv.org/abs/2503.08546v1

Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework

Deep learning has significantly advanced PET image re-construction, achieving remarkable improveme...

Mar 2025 http://arxiv.org/abs/2503.08339v1

Dynamic PET Image Reconstruction via Non-negative INR Factorization

The reconstruction of dynamic positron emission tomography (PET) images from noisy projection data...

Mar 2025 http://arxiv.org/abs/2503.08025v1

Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study

Targeted Radionuclide Therapy (TRT) is a modern strategy in radiation oncology that aims to admini...

Mar 2025 http://arxiv.org/abs/2503.05367v1

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

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

Organ segmentation in Positron Emission Tomography (PET) plays a vital role in cancer quantificati...

Mar 2025 http://arxiv.org/abs/2503.03786v1

Developing a PET/CT Foundation Model for Cross-Modal Anatomical and Functional Imaging

In oncology, Positron Emission Tomography-Computed Tomography (PET/CT) is widely used in cancer di...

Mar 2025 http://arxiv.org/abs/2503.02824v1

Semantic Prior Distillation with Vision Foundation Model for Enhanced Rapid Bone Scintigraphy Image Restoration

Rapid bone scintigraphy is an essential tool for diagnosing skeletal diseases and tumor metastasis...

Mar 2025 http://arxiv.org/abs/2503.02321v2

AI-Augmented Thyroid Scintigraphy for Robust Classification

Thyroid scintigraphy is a key imaging modality for diagnosing thyroid disorders. Deep learning mod...

Mar 2025 http://arxiv.org/abs/2503.00366v1

FedDA-TSformer: Federated Domain Adaptation with Vision TimeSformer for Left Ventricle Segmentation on Gated Myocardial Perfusion SPECT Image

Background and Purpose: Functional assessment of the left ventricle using gated myocardial perfusi...

Feb 2025 http://arxiv.org/abs/2502.16709v1

SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images

Positron Emission Tomography (PET) imaging plays a crucial role in modern medical diagnostics by r...

Feb 2025 http://arxiv.org/abs/2502.14351v2

Freezing of Gait as a Complication of Pallidal Deep Brain Stimulation in DYT- KMT2B Patients with Evidence of Striatonigral Degeneration

Background: Mutations in KMT2B are a recognized cause of early-onset complex dystonia, with deep b...

Feb 2025 http://arxiv.org/abs/2502.13888v1

Exploiting network optimization stability for enhanced PET image denoising using deep image prior

PET is affected by statistical noise due to constraints on tracer dose and scan duration, impactin...

Feb 2025 http://arxiv.org/abs/2502.11259v1

High-Throughput Computational Screening and Interpretable Machine Learning of Metal-organic Frameworks for Iodine Capture

The removal of leaked radioactive iodine isotopes in humid environments holds significant importan...

Feb 2025 http://arxiv.org/abs/2502.15764v1

ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis

Multimodal Federated Learning (MFL) has emerged as a promising approach for collaboratively traini...

Feb 2025 http://arxiv.org/abs/2502.12180v1

Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections

PET is a functional imaging method that visualizes metabolic processes. TOF information can be der...

Feb 2025 http://arxiv.org/abs/2502.07630v2

Quantitative evaluation of unsupervised clustering algorithms for dynamic total-body PET image analysis

Background. Recently, dynamic total-body positron emission tomography (PET) imaging has become pos...

Feb 2025 http://arxiv.org/abs/2502.07511v2

Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging

Accurate classification and anatomical localization are essential for effective medical diagnostic...

Feb 2025 http://arxiv.org/abs/2502.06632v1

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

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

Vision-Language Modeling in PET/CT for Visual Grounding of Positive Findings

Vision-language models can connect the text description of an object to its specific location in a...

Feb 2025 http://arxiv.org/abs/2502.00528v1