Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
出版年份 2022 全文链接
标题
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
作者
关键词
-
出版物
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-07-09
DOI
10.1007/s00259-022-05891-w
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure
- (2021) Yan-Ran (Joyce) Wang et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- AI applications to medical images: From machine learning to deep learning
- (2021) Isabella Castiglioni et al. Physica Medica-European Journal of Medical Physics
- Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks in Oncological Positron Emission Tomography
- (2021) Pierre Pinochet et al. Frontiers in Medicine
- Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT
- (2021) Riemer H. J. A. Slart et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
- (2021) Tyler J. Bradshaw et al. JOURNAL OF NUCLEAR MEDICINE
- Evaluation of conventional and deep learning based image harmonization methods in radiomics studies
- (2021) F Tixier et al. PHYSICS IN MEDICINE AND BIOLOGY
- Artificial Intelligence and the Future of Diagnostic and Therapeutic Radiopharmaceutical Development
- (2021) Bahar Ataeinia et al. PET Clinics
- International evaluation of an AI system for breast cancer screening
- (2020) Scott Mayer McKinney et al. NATURE
- Combined brain and spinal FDG PET allows differentiation between ALS and ALS mimics
- (2020) Donatienne Van Weehaeghe et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions
- (2020) Haowei Xiang et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- PET image super-resolution using generative adversarial networks
- (2020) Tzu-An Song et al. NEURAL NETWORKS
- Machine Learning in Nuclear Medicine: Part 2-Neural Networks and Clinical Aspects
- (2020) Katherine Zukotynski et al. JOURNAL OF NUCLEAR MEDICINE
- Transparency and reproducibility in artificial intelligence
- (2020) Benjamin Haibe-Kains et al. NATURE
- Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning
- (2020) Geoffrey Currie et al. SEMINARS IN NUCLEAR MEDICINE
- Deep neural network based artificial intelligence assisted diagnosis of bone scintigraphy for cancer bone metastasis
- (2020) Zhen Zhao et al. Scientific Reports
- Radiomics in PET/CT: Current Status and Future AI-Based Evolutions
- (2020) Mathieu Hatt et al. SEMINARS IN NUCLEAR MEDICINE
- Artificial Intelligence for Response Evaluation With PET/CT
- (2020) Lise Wei et al. SEMINARS IN NUCLEAR MEDICINE
- Joint correction of attenuation and scatter in image space using deep convolutional neural networks for dedicated brain 18F-FDG PET
- (2019) Jaewon Yang et al. PHYSICS IN MEDICINE AND BIOLOGY
- Generation of PET attenuation map for whole-body time-of-flight 18F-FDG PET/MRI using a deep neural network trained with simultaneously reconstructed activity and attenuation maps
- (2019) Donghwi Hwang et al. JOURNAL OF NUCLEAR MEDICINE
- Part 1: Introduction to Machine Learning in the Nuclear Medicine Context
- (2019) Carlos F. Uribe et al. JOURNAL OF NUCLEAR MEDICINE
- DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem
- (2019) Ida Häggström et al. MEDICAL IMAGE ANALYSIS
- Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications
- (2019) Dimitris Visvikis et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
- (2019) Martina Sollini et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and opportunities
- (2019) Parnian Afshar et al. IEEE SIGNAL PROCESSING MAGAZINE
- Deep-dose: a voxel dose estimation method using deep convolutional neural network for personalized internal dosimetry
- (2019) Min Sun Lee et al. Scientific Reports
- Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry
- (2019) Lien-Hsin Hu et al. European Heart Journal-Cardiovascular Imaging
- Radiomics: Data Are Also Images
- (2019) Mathieu Hatt et al. JOURNAL OF NUCLEAR MEDICINE
- Artificial Intelligence in Nuclear Medicine
- (2019) Felix Nensa et al. JOURNAL OF NUCLEAR MEDICINE
- Cognitive signature of brain FDG PET based on deep learning: domain transfer from Alzheimer’s disease to Parkinson’s disease
- (2019) Hongyoon Choi et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- The clinical feasibility of deep learning-based classification of amyloid PET images in visually equivocal cases
- (2019) Hye Joo Son et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Deep neural network for automatic characterization of lesions on 68Ga-PSMA-11 PET/CT
- (2019) Yu Zhao et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Machine learning for radiomics-based multimodality and multiparametric modeling
- (2019) Lise Wei et al. The quarterly journal of nuclear medicine and molecular imaging
- Modeling and predicting tumor response in radioligand therapy
- (2018) Peter Kletting et al. JOURNAL OF NUCLEAR MEDICINE
- The first MICCAI challenge on PET tumor segmentation
- (2018) Mathieu Hatt et al. MEDICAL IMAGE ANALYSIS
- Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
- (2018) Timo M. Deist et al. MEDICAL PHYSICS
- Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging
- (2018) Hyungseok Jang et al. MEDICAL PHYSICS
- Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning
- (2018) Julian Betancur et al. JACC-Cardiovascular Imaging
- Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study
- (2018) Julian A Betancur et al. JOURNAL OF NUCLEAR MEDICINE
- Artificial intelligence in the diagnosis of Parkinson’s disease from ioflupane-123 single-photon emission computed tomography dopamine transporter scans using transfer learning
- (2018) Daniel H. Kim et al. NUCLEAR MEDICINE COMMUNICATIONS
- From fixed activities to personalized treatments in radionuclide therapy: lost in translation?
- (2017) G. D. Flux et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Deep image mining for diabetic retinopathy screening
- (2017) Gwenolé Quellec et al. MEDICAL IMAGE ANALYSIS
- Radiomics: the bridge between medical imaging and personalized medicine
- (2017) Philippe Lambin et al. Nature Reviews Clinical Oncology
- Machine Learning for Predicting Patient Wait Times and Appointment Delays
- (2017) Catherine Curtis et al. Journal of the American College of Radiology
- Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation
- (2016) Julian Betancur et al. JOURNAL OF NUCLEAR MEDICINE
- 1,500 scientists lift the lid on reproducibility
- (2016) Monya Baker NATURE
- Imaging biomarker roadmap for cancer studies
- (2016) James P. B. O'Connor et al. Nature Reviews Clinical Oncology
- Machine Learning methods for Quantitative Radiomic Biomarkers
- (2015) Chintan Parmar et al. Scientific Reports
- FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0
- (2014) Ronald Boellaard et al. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
- Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population
- (2014) Reza Arsanjani et al. JOURNAL OF NUCLEAR CARDIOLOGY
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
- (2013) Kenneth Clark et al. JOURNAL OF DIGITAL IMAGING
- Comparison of Fully Automated Computer Analysis and Visual Scoring for Detection of Coronary Artery Disease from Myocardial Perfusion SPECT in a Large Population
- (2013) R. Arsanjani et al. JOURNAL OF NUCLEAR MEDICINE
- Radiomics: Extracting more information from medical images using advanced feature analysis
- (2012) Philippe Lambin et al. EUROPEAN JOURNAL OF CANCER
- Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization
- (2009) R. C. Petersen et al. NEUROLOGY
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started