Regularizing Iterative Reconstruction with Deep Neural Networks

被引：0
|
作者：
Ozaki, S. [1 ]
Kaji, S. [2 ]
Haga, A. [3 ]
Nawa, K. [1 ]
Ohta, T. [1 ]
Nozawa, Y. [1 ]
Nakamoto, T. [1 ]
Imae, T. [1 ]
Nakagawa, K. [1 ]
机构：
[1] Univ Tokyo Hosp, Tokyo, Japan
[2] Kyushu Univ, Inst Math Ind, Kyushu, Japan
[3] Tokushima Univ, Tokushima, Japan
来源：
MEDICAL PHYSICS | 2020年 / 47卷 / 06期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
BReP-SNAP-
引用
收藏
页码：E437 / E438
页数：2
相关论文
共 50 条
  • [41] Classification and reconstruction of optical quantum states with deep neural networks
    Ahmed, Shahnawaz
    Sanchez Munoz, Carlos
    Nori, Franco
    Kockum, Anton Frisk
    PHYSICAL REVIEW RESEARCH, 2021, 3 (03):
  • [42] Full-Pulse Tomographic Reconstruction with Deep Neural Networks
    Ferreira, Diogo R.
    Carvalho, Pedro J.
    Fernandes, Horacio
    Abduallev, S.
    Abhangi, M.
    Abreu, P.
    Afzal, M.
    Aggarwal, K. M.
    Ahlgren, T.
    Ahn, J. H.
    Aho-Mantila, L.
    Aiba, N.
    Airila, M.
    Albanese, R.
    Aldred, V.
    Alegre, D.
    Alessi, E.
    Aleynikov, P.
    Alfier, A.
    Alkseev, A.
    Allinson, M.
    Alper, B.
    Alves, E.
    Ambrosino, G.
    Ambrosino, R.
    Amicucci, L.
    Amosov, V.
    Sunden, E. Andersson
    Angelone, M.
    Anghel, M.
    Angioni, C.
    Appel, L.
    Appelbee, C.
    Arena, P.
    Ariola, M.
    Arnichand, H.
    Arshad, S.
    Ash, A.
    Ashikawa, N.
    Aslanyan, V.
    Asunta, O.
    Auriemma, F.
    Austin, Y.
    Avotina, L.
    Axton, M. D.
    Ayres, C.
    Bacharis, M.
    Baciero, A.
    Baiao, D.
    Bailey, S.
    FUSION SCIENCE AND TECHNOLOGY, 2018, 74 (1-2) : 47 - 56
  • [43] Measuring CT Reconstruction Quality with Deep Convolutional Neural Networks
    Patwari, Mayank
    Gutjahr, Ralf
    Raupach, Rainer
    Maier, Andreas
    MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2019, 2019, 11905 : 113 - 124
  • [44] Fast Depth Reconstruction Using Deep Convolutional Neural Networks
    Maslov, Dmitrii
    Makarov, Ilya
    ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2021, PT I, 2021, 12861 : 456 - 467
  • [45] Regularizing Deep Networks Using Efficient Layerwise Adversarial Training
    Sankaranarayanan, Swami
    Jain, Arpit
    Chellappa, Rama
    Lim, Ser Nam
    THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, : 4008 - 4015
  • [46] Deep iterative reconstruction for phase retrieval
    Isil, Cagatay
    Oktem, Figen S.
    Koc, Aykut
    APPLIED OPTICS, 2019, 58 (20) : 5422 - 5431
  • [47] Itao: A New Iterative Thresholding Algorithm Based Optimizer for Deep Neural Networks
    Merrouchi, Mohamed
    Atifi, Khalid
    Skittou, Mustapha
    Gadi, Taoufiq
    IEEE ACCESS, 2022, 10 : 120880 - 120890
  • [48] Non-iterative deep neural networks for compressed coded aperture imaging
    Cheng Zhang
    Mingsheng Chen
    Qianwen Chen
    Chuan Shen
    Sui Wei
    Journal of Optics, 2023, 52 : 474 - 482
  • [49] Iterative Annotation of Biomedical NER Corpora with Deep Neural Networks and Knowledge Bases
    Silvestri, Stefano
    Gargiulo, Francesco
    Ciampi, Mario
    APPLIED SCIENCES-BASEL, 2022, 12 (12):
  • [50] Non-iterative deep neural networks for compressed coded aperture imaging
    Zhang, Cheng
    Chen, Mingsheng
    Chen, Qianwen
    Shen, Chuan
    Wei, Sui
    JOURNAL OF OPTICS-INDIA, 2023, 52 (02): : 474 - 482
12345