Related references
Note: Only part of the references are listed.Deep-Learning Generation of Synthetic Intermediate Projections Improves 177Lu SPECT Images Reconstructed with Sparsely Acquired Projections
Tobias Ryden et al.
JOURNAL OF NUCLEAR MEDICINE (2021)
Reducing scan time of paediatric 99mTc-DMSA SPECT via deep learning
C. Lin et al.
CLINICAL RADIOLOGY (2021)
Explainable AI: A Review of Machine Learning Interpretability Methods
Pantelis Linardatos et al.
ENTROPY (2021)
Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging
Amirhossein Sanaat et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)
Event selection and background rejection in time projection chambers using convolutional neural networks and a specific application to the AdEPT gamma-ray polarimeter mission
Richard L. Garnett et al.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2021)
Modeling the effect of oxygen on the chemical stage of water radiolysis using GPU-based microscopic Monte Carlo simulations, with an application in FLASH radiotherapy
Youfang Lai et al.
PHYSICS IN MEDICINE AND BIOLOGY (2021)
Modeling complex particles phase space with GAN for Monte Carlo SPECT simulations: a proof of concept
D. Sarrut et al.
PHYSICS IN MEDICINE AND BIOLOGY (2021)
Feasibility of Deep Learning-Guided Attenuation and Scatter Correction of Whole-Body 68Ga-PSMA PET Studies in the Image Domain
Samaneh Mostafapour et al.
CLINICAL NUCLEAR MEDICINE (2021)
An analysis of scatter characteristics in x-ray CT spectral correction
Tao Zhang et al.
PHYSICS IN MEDICINE AND BIOLOGY (2021)
Artificial neural networks for positioning of gamma interactions in monolithic PET detectors
Milan Decuyper et al.
PHYSICS IN MEDICINE AND BIOLOGY (2021)
Advanced Monte Carlo simulations of emission tomography imaging systems with GATE
David Sarrut et al.
PHYSICS IN MEDICINE AND BIOLOGY (2021)
Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection
Enrique Munoz et al.
SCIENTIFIC REPORTS (2021)
A Deep Learning Approach to Correctly Identify the Sequence of Coincidences in Cross-Strip CZT Detectors
Nahid Nasiri et al.
MEDICAL IMAGING 2021: PHYSICS OF MEDICAL IMAGING (2021)
Deep dose plugin: towards real-time Monte Carlo dose calculation through a deep learning-based denoising algorithm
Ti Bai et al.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY (2021)
Magnetic resonance-guided radiation therapy: A review
Stephen Chin et al.
JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY (2020)
Synthetic CT generation from CBCT images via deep learning
Liyuan Chen et al.
MEDICAL PHYSICS (2020)
CBCT-based synthetic CT generation using deep-attention cycleGAN for pancreatic adaptive radiotherapy
Yingzi Liu et al.
MEDICAL PHYSICS (2020)
DeepDose: Towards a fast dose calculation engine for radiation therapy using deep learning
C. Kontaxis et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
Deep learning-guided joint attenuation and scatter correction in multitracer neuroimaging studies
Hossein Arabi et al.
HUMAN BRAIN MAPPING (2020)
RapidBrachyDL: Rapid Radiation Dose Calculations in Brachytherapy Via Deep Learning
Ximeng Mao et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2020)
Technical Note: GATE-RTion: a GATE/Geant4 release for clinical applications in scanned ion beam therapy
L. Grevillot et al.
MEDICAL PHYSICS (2020)
Theory of deep convolutional neural networks: Downsampling
Ding-Xuan Zhou
NEURAL NETWORKS (2020)
Preliminary results in using Deep Learning to emulate BLOB, a nuclear interaction model
A. Ciardiello et al.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS (2020)
A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder
Brent van der Heyden et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
Depth of Interaction Estimation in a Preclinical PET Scanner Equipped with Monolithic Crystals Coupled to SiPMs Using a Deep Neural Network
Amirhossein Sanaat et al.
APPLIED SCIENCES-BASEL (2020)
Deep learning on image denoising: An overview
Chunwei Tian et al.
NEURAL NETWORKS (2020)
Improving depth-of-interaction resolution in pixellated PET detectors using neural networks
Artem Zatcepin et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
DoseGAN: a generative adversarial network for synthetic dose prediction using attention-gated discrimination and generation
Vasant Kearney et al.
SCIENTIFIC REPORTS (2020)
Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy
Arthur Lalonde et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
An introduction to deep learning in medical physics: advantages, potential, and challenges
Chenyang Shen et al.
PHYSICS IN MEDICINE AND BIOLOGY (2020)
First Human Imaging Studies with the EXPLORER Total-Body PET Scanner
Ramsey D. Badawi et al.
JOURNAL OF NUCLEAR MEDICINE (2019)
A deep learning method for prediction of three-dimensional dose distribution of helical tomotherapy
Zhiqiang Liu et al.
MEDICAL PHYSICS (2019)
pGPUMCD: an efficient GPU-based Monte Carlo code for accurate proton dose calculations
Daniel Maneval et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
MRI-only based synthetic CT generation using dense cycle consistent generative adversarial networks
Yang Lei et al.
MEDICAL PHYSICS (2019)
Scatter correction of cone-beam CT using a deep residual convolution neural network (DRCNN)
Yangkang Jiang et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
Deep-dose: a voxel dose estimation method using deep convolutional neural network for personalized internal dosimetry
Min Sun Lee et al.
SCIENTIFIC REPORTS (2019)
PET image denoising using unsupervised deep learning
Jianan Cui et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Physics-driven learning of x-ray skin dose distribution in interventional procedures
Philipp Roser et al.
MEDICAL PHYSICS (2019)
Generative adversarial networks (GAN) for compact beam source modelling in Monte Carlo simulations
D. Sarrut et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
DijetGAN: a Generative-Adversarial Network approach for the simulation of QCD dijet events at the LHC
Riccardo Di Sipio et al.
JOURNAL OF HIGH ENERGY PHYSICS (2019)
A Deep Learning-Based Scatter Correction of Simulated X-ray Images
Heesin Lee et al.
ELECTRONICS (2019)
Mitigating inherent noise in Monte Carlo dose distributions using dilated U-Net
Umair Javaid et al.
MEDICAL PHYSICS (2019)
Real-time scatter estimation for medical CT using the deep scatter estimation: Method and robustness analysis with respect to different anatomies, dose levels, tube voltages, and data truncation
Joscha Maier et al.
MEDICAL PHYSICS (2019)
Machine learning and the physical sciences
Giuseppe Carleo et al.
REVIEWS OF MODERN PHYSICS (2019)
Compton PET: a simulation study for a PET module with novel geometry and machine learning for position decoding
Peng Peng et al.
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS (2019)
Optical simulation study on the spatial resolution of a thick monolithic PET detector
Mariele Stockhoff et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture
Dan Nguyen et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
Challenges Related of Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions
Luciano M. Prevedello et al.
RADIOLOGY-ARTIFICIAL INTELLIGENCE (2019)
Methods for interpreting and understanding deep neural networks
Gregoire Montavon et al.
DIGITAL SIGNAL PROCESSING (2018)
Generative Adversarial Networks An overview
Antonia Creswell et al.
IEEE SIGNAL PROCESSING MAGAZINE (2018)
Estimating the NEMA characteristics of the J-PET tomograph using the GATE package
P. Kowalski et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects
Z. M. Niu et al.
PHYSICS LETTERS B (2018)
Use of Monte Carlo Techniques in Nuclear Medicine
Frederic H. Fahey et al.
JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY (2018)
Machine learning at the energy and intensity frontiers of particle physics
Alexander Radovic et al.
NATURE (2018)
Learning SPECT detector angular response function with neural network for accelerating Monte-Carlo simulations
D. Sarrut et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Deep Learning and Its Application to LHC Physics
Dan Guest et al.
ANNUAL REVIEW OF NUCLEAR AND PARTICLE SCIENCE, VOL 68 (2018)
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson et al.
18TH INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH (ACAT2017) (2018)
Generative models for fast simulation
S. Vallecorsa
18TH INTERNATIONAL WORKSHOP ON ADVANCED COMPUTING AND ANALYSIS TECHNIQUES IN PHYSICS RESEARCH (ACAT2017) (2018)
Scatter Artifacts Removal Usings Using Learning-Based Method for CBCT in IGRT System
Shipeng Xie et al.
IEEE ACCESS (2018)
Self-learning Monte Carlo with deep neural networks
Huitao Shen et al.
PHYSICAL REVIEW B (2018)
Characterization of highly multiplexed monolithic PET / gamma camera detector modules
L. A. Pierce et al.
PHYSICS IN MEDICINE AND BIOLOGY (2018)
Fast GPU-based Monte Carlo code for SPECT/CT reconstructions generates improved Lu-177 images
T. Ryden et al.
EJNMMI PHYSICS (2018)
Machine learning phases of matter
Juan Carrasquilla et al.
NATURE PHYSICS (2017)
A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras
Stefano Pedemonte et al.
PHYSICS IN MEDICINE AND BIOLOGY (2017)
Accelerated GPU based SPECT Monte Carlo simulations
Marie-Paule Garcia et al.
PHYSICS IN MEDICINE AND BIOLOGY (2016)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Sebastian Bach et al.
PLOS ONE (2015)
A review of the use and potential of the GATE Monte Carlo simulation code for radiation therapy and dosimetry applications
David Sarrut et al.
MEDICAL PHYSICS (2014)
The FLUKA Code: Developments and Challenges for High Energy and Medical Applications
T. T. Boehlen et al.
NUCLEAR DATA SHEETS (2014)
Application of Artificial Neural Network for Reducing Random Coincidences in PET
Josep F. Oliver et al.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2013)
Geant4-based Monte Carlo simulations on GPU for medical applications
Julien Bert et al.
PHYSICS IN MEDICINE AND BIOLOGY (2013)
3D position estimation using an artificial neural network for a continuous scintillator PET detector
Y. Wang et al.
PHYSICS IN MEDICINE AND BIOLOGY (2013)
Toward a better understanding of the gamma index: Investigation of parameters with a surface-based distance method
Heng Li et al.
MEDICAL PHYSICS (2011)
Toward IMRT 2D dose modeling using artificial neural networks: A feasibility study
Georgios Kalantzis et al.
MEDICAL PHYSICS (2011)
GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy
S. Jan et al.
PHYSICS IN MEDICINE AND BIOLOGY (2011)
The Monte Carlo Method in Nuclear Medicine: Current Uses and Future Potential
Wesley E. Bolch
JOURNAL OF NUCLEAR MEDICINE (2010)
Monte Carlo calculation of dose distribution in early stage NSCLC patients planned for accelerated hypofractionated radiation therapy in the NCIC-BR25 protocol
V. Moiseenko et al.
PHYSICS IN MEDICINE AND BIOLOGY (2010)
MIRD Pamphlet No. 21: A Generalized Schema for Radiopharmaceutical Dosimetry-Standardization of Nomenclature
Wesley E. Bolch et al.
JOURNAL OF NUCLEAR MEDICINE (2009)
Aleatory or epistemic? Does it matter?
Armen Der Kiureghian et al.
STRUCTURAL SAFETY (2009)
Characterization of scattered radiation in kV CBCT images using Monte Carlo simulations
Genevieve Jarry et al.
MEDICAL PHYSICS (2006)
On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields
Pietro Berkes et al.
NEURAL COMPUTATION (2006)
Reporting and analyzing statistical uncertainties in Monte Carlo-based treatment planning
Indrin J. Chetty et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2006)
Fast modelling of the collimator-detector response in Monte Carlo simulation of SPECT imaging using the angular response function
X Song et al.
PHYSICS IN MEDICINE AND BIOLOGY (2005)
A comparison of Monte Carlo dose calculation denoising techniques
I El Naqa et al.
PHYSICS IN MEDICINE AND BIOLOGY (2005)
Neural network-based position estimators for PET detectors using monolithic LSO blocks
P Bruyndonckx et al.
IEEE TRANSACTIONS ON NUCLEAR SCIENCE (2004)
Adaptive anisotropic diffusion filtering of Monte Carlo dose distributions
BH Miao et al.
PHYSICS IN MEDICINE AND BIOLOGY (2003)
GEANT4-a simulation toolkit
S Agostinelli et al.
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT (2003)
Smoothing Monte Carlo calculated dose distributions by iterative reduction of noise
M Fippel et al.
PHYSICS IN MEDICINE AND BIOLOGY (2003)
Accelerating Monte Carlo simulations of radiation therapy dose distributions using wavelet threshold de-noising
JO Deasy et al.
MEDICAL PHYSICS (2002)
On the de-noising of Monte Carlo calculated dose distributions
I Kawrakow
PHYSICS IN MEDICINE AND BIOLOGY (2002)
Denoising of electron beam Monte Carlo dose distributions using digital filtering techniques
JO Deasy
PHYSICS IN MEDICINE AND BIOLOGY (2000)