Radiology

Nuclear Medicine

Latest AI and machine learning research in nuclear medicine for healthcare professionals.

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A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.

Neuroimaging has made it possible to measure pathological brain changes associated with Alzheimer's ...

Machine learning-based kinetic modeling: a robust and reproducible solution for quantitative analysis of dynamic PET data.

A variety of compartment models are used for the quantitative analysis of dynamic positron emission ...

A Novel Fusion Framework Based on Adaptive PCNN in NSCT Domain for Whole-Body PET and CT Images.

The PET and CT fusion images, combining the anatomical and functional information, have important cl...

MR-based synthetic CT generation using a deep convolutional neural network method.

PURPOSE: Interests have been rapidly growing in the field of radiotherapy to replace CT with magneti...

Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.

Alzheimer's disease (AD) is the most common type of dementia and will be an increasing health proble...

Novel 1,2,3-triazolium-functionalized starch derivatives: Synthesis, characterization, and evaluation of antifungal property.

Four novel 1,2,3-triazolium-functionalized starch derivatives were synthesized by N-alkylating the p...

Phantom Validation of Tc-99m Absolute Quantification in a SPECT/CT Commercial Device.

. Similar to PET, absolute quantitative imaging is becoming available in commercial SPECT/CT devices...

Type 2 gastric neuroendocrine tumor: report of one case.

In this article we reported a female patient with type 2 gastric neuroendocrine tumor (NET). The pat...

Living with the animals: animal or robotic companions for the elderly in smart homes?

Although the use of pet robots in senior living facilities and day-care centres, particularly for in...

Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation.

Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPEC...

Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach.

BACKGROUND: Neuroimaging studies have yielded significant advances in the understanding of neural pr...

Antithyroid drug-associated MPO-ANCA-positive tubulointerstitial nephritis in a type 2 diabetes patient: a case report.

A 54-year-old man diagnosed with type 2 diabetes and hyperthyroidism was prescribed propylthiouracil...

Computer-assisted framework for machine-learning-based delineation of GTV regions on datasets of planning CT and PET/CT images.

We have proposed a computer-assisted framework for machine-learning-based delineation of gross tumor...

A neural network-based method for spectral distortion correction in photon counting x-ray CT.

Spectral CT using a photon counting x-ray detector (PCXD) shows great potential for measuring materi...

Externalising moods and psychological states in a cloud based system to enhance a pet-robot and child's interaction.

BACKGROUND: This PATRICIA research project is about using pet robots to reduce pain and anxiety in h...

Assessment of mold contamination and physicochemical properties of crude palm oil sold in Jos, Nigeria.

Due to increasing reports on poor-quality palm oil in the market, there has been a continual decreas...

ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography.

Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiot...

Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer inje...

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