Nuclear Medicine

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

5,509 articles

Radiology Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 673-693 of 5,509 articles

Detection of transient neurotransmitter response using personalized neural networks.

Measurement of stimulus-induced dopamine release and other types of transient neurotransmitter respo...

Dec 2020 PMID: 33065566

A physics-guided modular deep-learning based automated framework for tumor segmentation in PET.

An important need exists for reliable positron emission tomography (PET) tumor-segmentation methods ...

Dec 2020 PMID: 32235059

Reducing scan time of paediatric Tc-DMSA SPECT via deep learning.

AIM: To investigate the feasibility of reducing the scan time of paediatric technetium 99m (Tc) dime...

Dec 2020 PMID: 33339592

Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning.

This study aimed to investigate the predictive efficacy of positron emission tomography/computed tom...

Dec 2020 PMID: 33273490

Artiﬁcial intelligence applications for oncological positron emission tomography imaging.

Positron emission tomography (PET), a functional and dynamic molecular imaging technique, is general...

Nov 2020 PMID: 33307463

Conditional Generative Adversarial Networks Aided Motion Correction of Dynamic F-FDG PET Brain Studies.

This work set out to develop a motion-correction approach aided by conditional generative adversaria...

Nov 2020 PMID: 33246982

Comparison of 11 automated PET segmentation methods in lymphoma.

Segmentation of lymphoma lesions in FDG PET/CT images is critical in both assessing individual lesio...

Nov 2020 PMID: 32906088

An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images.

Accurate diagnosis of Parkinson's Disease (PD) at its early stages remains a challenge for modern cl...

Nov 2020 PMID: 33279760

Deep learning with noise-to-noise training for denoising in SPECT myocardial perfusion imaging.

PURPOSE: Post-reconstruction filtering is often applied for noise suppression due to limited data co...

Nov 2020 PMID: 33145782

FBP-Net for direct reconstruction of dynamic PET images.

Dynamic positron emission tomography (PET) imaging can provide information about metabolic changes o...

Nov 2020 PMID: 33049720

Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and aleatoric uncertainty.

There can be significant uncertainty when identifying cervical lymph node (LN) metastases in patient...

Nov 2020 PMID: 33179605

Artificial Intelligence for Response Evaluation With PET/CT.

Positron emission tomography (PET)/computed tomography (CT) are nuclear diagnostic imaging modalitie...

Nov 2020 PMID: 33509372

Artificial Intelligence for Optimization and Interpretation of PET/CT and PET/MR Images.

Artificial intelligence (AI) has recently attracted much attention for its potential use in healthca...

Nov 2020 PMID: 33509370

Obtaining PET/CT images from non-attenuation corrected PET images in a single PET system using Wasserstein generative adversarial networks.

Positron emission tomography (PET) imaging plays an indispensable role in early disease detection an...

Nov 2020 PMID: 32663812

Prediction of amyloid β PET positivity using machine learning in patients with suspected cerebral amyloid angiopathy markers.

Amyloid-β(Aβ) PET positivity in patients with suspected cerebral amyloid angiopathy (CAA) MRI marker...

Nov 2020 PMID: 33139780

Radiomics in PET/CT: Current Status and Future AI-Based Evolutions.

This short review aims at providing the readers with an update on the current status, as well as fut...

Nov 2020 PMID: 33509369

Intraprostatic Tumor Segmentation on PSMA PET Images in Patients with Primary Prostate Cancer with a Convolutional Neural Network.

Accurate delineation of the intraprostatic gross tumor volume (GTV) is a prerequisite for treatment ...

Oct 2020 PMID: 33127624

Attenuation correction using deep Learning and integrated UTE/multi-echo Dixon sequence: evaluation in amyloid and tau PET imaging.

PURPOSE: PET measures of amyloid and tau pathologies are powerful biomarkers for the diagnosis and m...

Oct 2020 PMID: 33108475

A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment.

We present a new large-scale three-fold annotated microscopy image dataset, aiming to advance the pl...

Oct 2020 PMID: 33110087

Fully 3D Active Surface with Machine Learning for PET Image Segmentation.

In order to tackle three-dimensional tumor volume reconstruction from Positron Emission Tomography (...

Oct 2020 PMID: 34460557

The prognostic role of end-of-treatment FDG-PET/CT in diffuse large B cell lymphoma: a pilot study application of neural networks to predict time-to-event.

PURPOSE: To evaluate the prognostic role of end-of-treatment (EoT) FDG-PET/CT parameters in diffuse ...

Oct 2020 PMID: 33094420

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