Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study

被引:0
|
作者
Akshay S. Chaudhari
Erik Mittra
Guido A. Davidzon
Praveen Gulaka
Harsh Gandhi
Adam Brown
Tao Zhang
Shyam Srinivas
Enhao Gong
Greg Zaharchuk
Hossein Jadvar
机构
[1] Stanford University,Department of Radiology
[2] Stanford University,Department of Biomedical Data Science
[3] Subtle Medical,Division of Diagnostic Radiology
[4] Oregon Health & Science University,Department of Radiology
[5] University of Pittsburgh Medical Center,Department of Radiology
[6] University of Southern California,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Low-count whole-body PET with deep learning in a multicenter and externally validated study (vol 4, 127, 2021)
    Chaudhari, Akshay S.
    Mittra, Erik
    Davidzon, Guido A.
    Gulaka, Praveen
    Gandhi, Harsh
    Brown, Adam
    Zhang, Tao
    Srinivas, Shyam
    Gong, Enhao
    Zaharchuk, Greg
    Jadvar, Hossein
    NPJ DIGITAL MEDICINE, 2021, 4 (01)
  • [2] Non-Gaussian smoothing of low-count transmission scans for PET whole-body studies
    Pawitan, Y
    Bettinardi, V
    Teräs, M
    IEEE TRANSACTIONS ON MEDICAL IMAGING, 2005, 24 (01) : 122 - 129
  • [3] Deep learning based attenuation correction for whole-body PET studies
    Hwang, Donghwi
    Kim, Kyeong Yun
    Kang, Seung Kwan
    Seo, Seongho
    Paeng, Jin Chul
    Lee, Dong Soo
    Lee, Jae Sung
    JOURNAL OF NUCLEAR MEDICINE, 2018, 59
  • [4] Deep-Learning-Aided Intraframe Motion Correction for Low-Count Dynamic Brain PET
    Reimers, Erik
    Cheng, Ju-Chieh
    Sossi, Vesna
    IEEE Transactions on Radiation and Plasma Medical Sciences, 2024, 8 (01): : 53 - 63
  • [5] Deep-Learning-Aided Intraframe Motion Correction for Low-Count Dynamic Brain PET
    Reimers, Erik
    Cheng, Ju-Chieh
    Sossi, Vesna
    IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES, 2024, 8 (01) : 53 - 63
  • [6] A personalized deep learning denoising strategy for low-count PET images
    Liu, Qiong
    Liu, Hui
    Mirian, Niloufar
    Ren, Sijin
    Viswanath, Varsha
    Karp, Joel
    Surti, Suleman
    Liu, Chi
    PHYSICS IN MEDICINE AND BIOLOGY, 2022, 67 (14):
  • [7] A deep learning-based whole-body solution for PET/MRI attenuation correction
    Sahar Ahangari
    Anders Beck Olin
    Marianne Kinggård Federspiel
    Bjoern Jakoby
    Thomas Lund Andersen
    Adam Espe Hansen
    Barbara Malene Fischer
    Flemming Littrup Andersen
    EJNMMI Physics, 9
  • [8] A deep learning-based whole-body solution for PET/MRI attenuation correction
    Ahangari, Sahar
    Olin, Anders Beck
    Federspiel, Marianne Kinggard
    Jakoby, Bjoern
    Andersen, Thomas Lund
    Hansen, Adam Espe
    Fischer, Barbara Malene
    Andersen, Flemming Littrup
    EJNMMI PHYSICS, 2022, 9 (01)
  • [9] CT-aided Low-Count Whole-body PET Imaging Using Cross-Modality Attention Pyramid Network
    Yang, Xiaofeng
    Lei, Yang
    Fu, Yabo
    Wang, Tonghe
    Liu, Tian
    Higgins, Kristin
    Curran, Walter
    Mao, Hui
    Nye, Jonathon
    JOURNAL OF NUCLEAR MEDICINE, 2020, 61
  • [10] Whole-Body PET Estimation From Low Count Statistics Using Deep Convolutional Neural Networks
    Dong, X.
    Lei, Y.
    Wang, T.
    Higgins, K.
    Liu, T.
    Curran, W.
    Mao, H.
    Nye, J.
    Yang, X.
    MEDICAL PHYSICS, 2019, 46 (06) : E193 - E193