Related references
Note: Only part of the references are listed.Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach
David Minarik et al.
JOURNAL OF NUCLEAR MEDICINE (2020)
Machine Learning in PET: From Photon Detection to Quantitative Image Reconstruction
Kuang Gong et al.
PROCEEDINGS OF THE IEEE (2020)
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
Saiprasad Ravishankar et al.
PROCEEDINGS OF THE IEEE (2020)
Deep learning-based attenuation map generation for myocardial perfusion SPECT
Luyao Shi et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2020)
Machine Learning in Nuclear Medicine: Part 1-Introduction
Carlos F. Uribe et al.
JOURNAL OF NUCLEAR MEDICINE (2019)
Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain 18F-FDG PET
Jaewon Yang et al.
PHYSICS IN MEDICINE AND BIOLOGY (2019)
DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem
Ida Haggstrom et al.
MEDICAL IMAGE ANALYSIS (2019)
EJNMMI supplement: bringing AI and radiomics to nuclear medicine
Patrick Veit-Haibach et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Next generation research applications for hybrid PET/MR and PET/CT imaging using deep learning
Greg Zaharchuk
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Accelerated SPECT image reconstruction with FBP and an image enhancement convolutional neural network
Martijn M. A. Dietze et al.
EJNMMI PHYSICS (2019)
PET image denoising using unsupervised deep learning
Jianan Cui et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2019)
Improved quantitative 90Y bremsstrahlung SPECT/CT reconstruction with Monte Carlo scatter modeling
Yuni K. Dewaraja et al.
MEDICAL PHYSICS (2017)
Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
Hayit Greenspan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)
Quantitative Monte Carlo-Based 90Y SPECT Reconstruction
Mattijs Elschot et al.
JOURNAL OF NUCLEAR MEDICINE (2013)
Quantitative Accuracy of Clinical Tc-99m SPECT/CT Using Ordered-Subset Expectation Maximization with 3-Dimensional Resolution Recovery, Attenuation, and Scatter Correction
Johannes Zeintl et al.
JOURNAL OF NUCLEAR MEDICINE (2010)
4D XCAT phantom for multimodality imaging research
W. P. Segars et al.
MEDICAL PHYSICS (2010)
Scatter correction based on an artificial neural network for 99mTc and 123I dual-isotope SPECT in myocardial and brain imaging
Jingming Bai et al.
ANNALS OF NUCLEAR MEDICINE (2007)
Share Paper
