Nuclear Medicine

Artificial intelligence in Nuclear Medicine Physics and Imaging.

No one can deny the significant impact of artificial intelligence (AI) on everyday life, especially ...

A Lightweight Low-dose PET Image Super-resolution Reconstruction Method based on Convolutional Neural Network.

BACKGROUND: PET imaging is one of the most widely used neurological disease screening and diagnosis ...

Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study.

BACKGROUND: Recently, deep learning reconstruction (DLR) technology aiming to improve image quality ...

An end-to-end multi-task system of automatic lesion detection and anatomical localization in whole-body bone scintigraphy by deep learning.

SUMMARY: Limited by spatial resolution and visual contrast, bone scintigraphy interpretation is susc...

Preservation of Split Renal Function After Laparoscopic and Robot-assisted Partial Nephrectomy.

BACKGROUND/AIM: To analyze the effects of laparoscopic partial nephrectomy (LPN) and robot-assisted ...

Influence of Robot-Assisted Partial Nephrectomy on Long-Term Renal Function as Assessed Using 99m-Tc DTPA Renal Scintigraphy.

The long-term split renal function after robot-assisted partial nephrectomy (RAPN) is yet to be elu...

Bone and Soft Tissue Tumors: Horizons in Radiomics and Artificial Intelligence.

AI can improve the quality of CT, MR and PET/CT images, while simultaneously reducing imaging time, ...

[[SPECT] 5. Application of Artificial Intelligence in Nuclear Medicine for SPECT].

Artificial Intelligence in Vascular-PET:: Translational and Clinical Applications.

Positron emission tomography (PET) offers an incredible wealth of diverse research applications in v...

Artificial Intelligence and Cardiac PET/Computed Tomography Imaging.

Artificial intelligence is an important technology, with rapidly expanding applications for cardiac ...

Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer.

The ability of a computer to perform tasks normally requiring human intelligence or artificial intel...

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging:: Towards Radiophenomics.

Artificial intelligence (AI) techniques have significant potential to enable effective, robust, and ...

Application of Artificial Intelligence in PET Instrumentation.

Artificial intelligence (AI) has been widely used throughout medical imaging, including PET, for dat...

Artificial Intelligence in Lymphoma PET Imaging:: A Scoping Review (Current Trends and Future Directions).

Malignant lymphomas are a family of heterogenous disorders caused by clonal proliferation of lymphoc...

Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer.

PET imaging with targeted novel tracers has been commonly used in the clinical management of prostat...

Self-normalized Classification of Parkinson's Disease DaTscan Images.

Classifying SPECT images requires a preprocessing step which normalizes the images using a normaliza...

Analysis of Human Head Motion and Robotic Compensation for PET Imaging Studies.

Functional medical imaging systems can provide insights into brain activity during various tasks, bu...

Development of a deep learning method for CT-free correction for an ultra-long axial field of view PET scanner.

INTRODUCTION: The possibility of low-dose positron emission tomography (PET) imaging using high sens...

Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector.

Positron Emission Tomography (PET) is among the most commonly used medical imaging modalities in cli...

Deep learning based timing calibration for PET.

Neural network has been found an increasingly wide utilization in all fields. Owing to the fact that...

Fully Automated Gross Tumor Volume Delineation From PET in Head and Neck Cancer Using Deep Learning Algorithms.

PURPOSE: The availability of automated, accurate, and robust gross tumor volume (GTV) segmentation a...