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A Novel DOI Positioning Algorithm for Monolithic Scintillator Crystals in PET Based on Gradient Tree Boosting
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Speeding Up Image Reconstruction Methods in Coded Mask γ Cameras Using Neural Networks: Application to the EM Algorithm
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A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning
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PET Image Denoising Using a Deep Neural Network Through Fine Tuning
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Predicting and optimizing the thermal-hydraulic, natural circulation, and neutronics parameters in the NuScale nuclear reactor using nanofluid as a coolant via machine learning methods through GA, PSO and HPSOGA algorithms
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October 2021 |
Predicting VMAT patient-specific QA results using a support vector classifier trained on treatment plan characteristics and linac QC metrics
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April 2019 |
Multi-objective genetic algorithm optimization of a directionally sensitive radiation detection system using a surrogate transport model
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September 2021 |
Physics-Informed Neural Network Solution of Point Kinetics Equations for a Nuclear Reactor Digital Twin
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October 2022 |
A new approach to nuclear reactor design optimization using genetic algorithms and regression analysis
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November 2015 |
Utility of radiomic zones for risk classification and clinical outcome predictions using supervised machine learning during simultaneous 11C‐choline PET/MRI acquisition in prostate cancer patients
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July 2021 |
Simultaneous cosegmentation of tumors in PET‐CT images using deep fully convolutional networks
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January 2019 |
Automated Isotope Identification Algorithm Using Artificial Neural Networks
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July 2017 |
Prediction of the individual multileaf collimator positional deviations during dynamic IMRT delivery priori with artificial neural network
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January 2020 |
High bias machine learning for antineutrino-based safeguards for small reactors
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May 2022 |
Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network
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August 2018 |
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data
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August 2020 |
Evaluation of Machine Learning Algorithms for Localization of Photons in Undivided Scintillator Blocks for PET Detectors
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Artificial neural network algorithms for pulse shape discrimination and recovery of piled-up pulses in organic scintillators
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Artificial neural network models for volatile fission product release during severe accident conditions
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April 1999 |
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
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January 2023 |
New Advances in Machine Learning
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Quantification of uptake in pelvis F‐18 FLT PET‐CT images using a 3D localization and segmentation CNN
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Deep Learning MR Imaging–based Attenuation Correction for PET/MR Imaging
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February 2018 |
Machine Learning for Patient-Specific Quality Assurance of VMAT: Prediction and Classification Accuracy
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November 2019 |
Deep Learning Based Attenuation Correction of PET/MRI in Pediatric Brain Tumor Patients: Evaluation in a Clinical Setting
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January 2019 |
Automated detection and classification of tumor histotypes on dynamic PET imaging data through machine-learning driven voxel classification
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June 2022 |
More than pretty pictures: 3‐D treatment planning and conformal therapy
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December 2022 |
Dynamic PET Image Denoising Using Deep Image Prior Combined With Regularization by Denoising
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January 2021 |
Deep Learning-Based Fault Classification and Location for Underground Power Cable of Nuclear Facilities
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January 2022 |
Automated detection of lung cancer at ultralow dose PET/CT by deep neural networks – Initial results
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December 2018 |
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study
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July 2021 |
Artificial Intelligence for Response Evaluation With PET/CT
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March 2021 |
Deep learning for patient‐specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks
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December 2018 |
Automated detection and segmentation of non-small cell lung cancer computed tomography images
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June 2022 |
An Artificial Neural Network System for Photon-Based Active Interrogation Applications
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January 2021 |
Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks
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October 2017 |
Error detection model developed using a multi‐task convolutional neural network in patient‐specific quality assurance for volumetric‐modulated arc therapy
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July 2021 |
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA
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November 2020 |
Detecting MLC modeling errors using radiomics‐based machine learning in patient‐specific QA with an EPID for intensity‐modulated radiation therapy
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January 2021 |
Regenerative neural network for rotating scatter mask radiation imaging
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April 2021 |
The structural similarity index for IMRT quality assurance: radiomics‐based error classification
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Machine learning for automated quality assurance in radiotherapy: A proof of principle using EPID data description
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Physics-informed neural networks for the point kinetics equations for nuclear reactor dynamics
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Prediction of Axial DNBR Distribution in a Hot Fuel Rod Using Support Vector Regression Models
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Development of fault diagnosis for nuclear power plant using deep learning and infrared sensor equipped UAV
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Domain knowledge driven 3D dose prediction using moment-based loss function
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Nested block self‐attention multiple resolution residual network for multiorgan segmentation from CT
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June 2022 |
The application of artificial neural network in material identification by multi-energy photon attenuation technique
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June 2023 |
Automatic and Real-Time Identification of Radionuclides in Gamma-Ray Spectra: A New Method Based on Convolutional Neural Network Trained With Synthetic Data Set
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April 2020 |
Machine learning‐generated decision boundaries for prediction and exploration of patient‐specific quality assurance failures in stereotactic radiosurgery plans
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February 2022 |
Operating a treatment planning system using a deep‐reinforcement learning‐based virtual treatment planner for prostate cancer intensity‐modulated radiation therapy treatment planning
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Using convolutional neural networks to estimate time-of-flight from PET detector waveforms
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Fault Detection and Isolation of a Pressurized Water Reactor Based on Neural Network and K-Nearest Neighbor
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Reconstruction method for gamma-ray coded-aperture imaging based on convolutional neural network
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 934
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A mathematical framework for virtual IMRT QA using machine learning
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Pile-up correction by Genetic Algorithm and Artificial Neural Network
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PET image denoising using unsupervised deep learning
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Systematic method for a deep learning‐based prediction model for gamma evaluation in patient‐specific quality assurance of volumetric modulated arc therapy
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Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 986
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