Nuclear Medicine

Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction

Medical image reconstruction with pre-trained score-based generative models (SGMs) has advantages ...

Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction

Large high-quality medical image datasets are difficult to acquire but necessary for many deep lea...

Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling

Score-based generative models (SGMs) have recently shown promising results for image reconstructio...

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms

As a sensitive functional imaging technique, positron emission tomography (PET) plays a critical r...

Deep Convolutional Neural Networks on Multiclass Classification of Three-Dimensional Brain Images for Parkinson's Disease Stage Prediction

Parkinson's disease (PD), a degenerative disorder of the central nervous system, is commonly diagn...

Brain-Aware Readout Layers in GNNs: Advancing Alzheimer's early Detection and Neuroimaging

Alzheimer's disease (AD) is a neurodegenerative disorder characterized by progressive memory and c...

Cerebral microbleeds: Association with cognitive decline and pathology build-up

Cerebral microbleeds, markers of brain damage from vascular and amyloid pathologies, are linked to...

Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning.

OBJECTIVE: If excellent response (ER) occurs after radioactive iodine (RAI) treatment in patients wi...

PET Myocardial Flow Reserve Estimation from 4D-Coronary-CT using Deep Neural Network.

The myocardial flow reserve (MFR) index proves to be a highly effective means of assessing the sever...

Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction.

Positron Emission Tomography (PET) is a medical imaging modality relying on numerical methods that i...

AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.

Background Visual assessment of amyloid PET scans relies on the availability of radiologist expertis...

AI chatbots in pet health care: Opportunities and challenges for owners.

The integration of artificial intelligence (AI) into health care has seen remarkable advancements, w...

Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.

Given the prevalence of dementia and the development of pathology-specific disease-modifying therapi...

Imaging Evaluation of Peritoneal Metastasis: Current and Promising Techniques.

Early diagnosis, accurate assessment, and localization of peritoneal metastasis (PM) are essential f...

[[PET] 9. Current Status of the Artificial Intelligence Image Reconstruction on Clinical PET Equipment].

Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning.

BACKGROUND: Patients with malignant tumors often develop bone metastases. SPECT bone scintigraphy is...

[Changes in FDG-PET Images of Small Lung and Liver Masses Caused by the Deep Learning-based Time-of-flight Processing].

PURPOSE: The deep learning time-of-flight (DL-ToF) aims to replicate the ToF effects through post-pr...

[A Case of Juvenile AFP-Producing Gastric Cancer with Virchow Lymph Node Metastasis Achieved Long-Term Survival with Multimodal Therapy].

A 25-year-old male received palliative total gastrectomy plus D1 dissection plus Roux-en-Y reconstru...

[Axillary Lymph Node Recurrence after Curative Surgery for Transverse Colon Cancer-A Case Report].

We report the rare case of an 89-year-old female with axillary lymph node recurrence after curative ...

[Application of artificial intelligence in the diagnosis of prostate cancer].

With the rise of precision medicine, the continuous expansionWith the rise of precision medicine, th...

MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.

Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disea...