Related references
Note: Only part of the references are listed.Diagnostic Accuracy of Quantitative Multicontrast 5-Minute Knee MRI Using Prospective Artificial Intelligence Image Quality Enhancement
Akshay S. Chaudhari et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2021)
Prospective Deployment of Deep Learning inMRI: A Framework for Important Considerations, Challenges, and Recommendations for Best Practices
Akshay S. Chaudhari et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2021)
True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation
Kevin T. Chen et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)
Artificial intelligence enables whole-body positron emission tomography scans with minimal radiation exposure
Yan-Ran (Joyce) Wang et al.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING (2021)
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney et al.
NATURE (2020)
Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board
David A. Bluemke et al.
RADIOLOGY (2020)
Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study
Michael P. Recht et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2020)
Radiation Exposure From Pediatric CT Scans and Subsequent Cancer Risk in the Netherlands
Johanna M. Meulepas et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2019)
Radiation Exposure From Pediatric CT Scans and Subsequent Cancer Risk in the Netherlands
Johanna M. Meulepas et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2019)
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Diego Ardila et al.
NATURE MEDICINE (2019)
Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
Gabriele Campanella et al.
NATURE MEDICINE (2019)
Full-Dose PET Image Estimation from Low-Dose PET Image Using Deep Learning: a Pilot Study
Sydney Kaplan et al.
JOURNAL OF DIGITAL IMAGING (2019)
Ultra-Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
Kevin T. Chen et al.
RADIOLOGY (2019)
MR-assisted PET motion correction in simultaneous PET/MRI studies of dementia subjects
Kevin T. Chen et al.
JOURNAL OF MAGNETIC RESONANCE IMAGING (2018)
Super-resolution musculoskeletal MRI using deep learning
Akshay S. Chaudhari et al.
MAGNETIC RESONANCE IN MEDICINE (2018)
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
Yan Wang et al.
NEUROIMAGE (2018)
Reduction of 18F-FDG Dose in Clinical PET/MR Imaging by Using Silicon Photomultiplier Detectors
Tetsuro Sekine et al.
RADIOLOGY (2018)
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
John R. Zech et al.
PLOS MEDICINE (2018)
Quantitative Accuracy and Lesion Detectability of Low-Dose 18F-FDG PET for Lung Cancer Screening
Joshua D. Schaefferkoetter et al.
JOURNAL OF NUCLEAR MEDICINE (2017)
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
Hu Chen et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)
Simulation of Tracer Dose Reduction in 18F-FDG PET/MRI: Effects on Oncologic Reading, Image Quality, and Artifacts
Ferdinand Seith et al.
JOURNAL OF NUCLEAR MEDICINE (2017)
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva et al.
NATURE (2017)
Comparison of the diagnostic accuracy of PET/MRI to PET/CT-acquired FDG brain exams for seizure focus detection: a prospective study
Michael J. Paldino et al.
PEDIATRIC RADIOLOGY (2017)
Internal tissue references for 18Fluorodeoxyglucose vascular inflammation imaging: Implications for cardiovascular risk stratification and clinical trials
Mark A. Ahlman et al.
PLOS ONE (2017)
Assessment of atherosclerosis in large vessel walls: A comprehensive review of FDG-PET/CT image acquisition protocols and methods for uptake quantification
Saeid Gholami et al.
JOURNAL OF NUCLEAR CARDIOLOGY (2015)
Prediction of standard-dose brain PET image by using MRI and low-dose brain [18F]FDG PET images
Jiayin Kang et al.
MEDICAL PHYSICS (2015)
Positron Emission Tomography (PET) in Oncology
Andrea Gallamini et al.
CANCERS (2014)
Improvement in PET/CT Image Quality with a Combination of Point-Spread Function and Time-of-Flight in Relation to Reconstruction Parameters
Go Akamatsu et al.
JOURNAL OF NUCLEAR MEDICINE (2012)
Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study
Mark S. Pearce et al.
LANCET (2012)
Motion effects on SUV and lesion volume in 3D and 4D PET scanning
J. Callahan et al.
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE (2011)
From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors
Richard L. Wahl et al.
JOURNAL OF NUCLEAR MEDICINE (2009)
Whole-Body PET/CT Scanning: Estimation of Radiation Dose and Cancer Risk
Bingsheng Huang et al.
RADIOLOGY (2009)
Tutorial in biostatistics - Sample sizes for clinical trials with normal data
SA Julious
STATISTICS IN MEDICINE (2004)
Share Paper
