NURBS-Based Deformable Image Registration

被引:0
|
作者
Jacobson, T. [1 ]
Murphy, M. [1 ]
机构
[1] Virginia Commonwealth Univ, Richmond, VA USA
关键词
D O I
10.1118/1.4735822
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
引用
收藏
页码:3875 / 3875
页数:1
相关论文
共 50 条
  • [41] A Transformer-Based Network for Deformable Medical Image Registration
    Wang, Yibo
    Qian, Wen
    Li, Mengqi
    Zhang, Xuming
    ARTIFICIAL INTELLIGENCE, CICAI 2022, PT I, 2022, 13604 : 502 - 513
  • [42] Physically-Based Validation of Deformable Medical Image Registration
    Lee, Huai-Ping
    Lin, Ming C.
    Foskey, Mark
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2008, PT II, PROCEEDINGS, 2008, 5242 : 830 - 838
  • [43] Deformable Image Registration Based on Functions of Bounded Generalized Deformation
    Ziwei Nie
    Chen Li
    Hairong Liu
    Xiaoping Yang
    International Journal of Computer Vision, 2021, 129 : 1341 - 1358
  • [44] Transfer Learning Based Deformable Image Registration in Pancreatic SBRT
    Wessels, C.
    Rao, C.
    Givehchi, N.
    Scheib, S.
    MEDICAL PHYSICS, 2019, 46 (06) : E563 - E564
  • [45] The need for application-based adaptation of deformable image registration
    Kirby, Neil
    Chuang, Cynthia
    Ueda, Utako
    Pouliot, Jean
    MEDICAL PHYSICS, 2013, 40 (01)
  • [46] Deformable Image Registration Based on Functions of Bounded Generalized Deformation
    Nie, Ziwei
    Li, Chen
    Liu, Hairong
    Yang, Xiaoping
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 129 (05) : 1341 - 1358
  • [47] A Comparative Evaluation of Deformable Image Registration Algorithms Based On the Jacobian
    Li, E.
    Zhong, Z.
    An, Y.
    Huang, S.
    Zheng, W.
    Lian, J.
    Yang, X.
    MEDICAL PHYSICS, 2022, 49 (06) : E735 - E735
  • [48] Reducing uncertainties in volumetric image based deformable organ registration
    Liang, J
    Yan, D
    MEDICAL PHYSICS, 2003, 30 (08) : 2116 - 2122
  • [49] Recurrent Registration Neural Networks for Deformable Image Registration
    Sandkuhler, Robin
    Andermatt, Simon
    Bauman, Grzegorz
    Nyilas, Sylvia
    Jud, Christoph
    Cattin, Philippe C.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
  • [50] NURBS-based isogeometric analysis for stable and accurate peeling computations
    Agrawal, Vishal
    Gautam, Sachin S.
    SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES, 2021, 46 (01):