170 related articles for article (PubMed ID: 36738711)
1. An unsupervised image registration method employing chest computed tomography images and deep neural networks.
Ho TT; Kim WJ; Lee CH; Jin GY; Chae KJ; Choi S
Comput Biol Med; 2023 Mar; 154():106612. PubMed ID: 36738711
[TBL] [Abstract][Full Text] [Related]
2. LungRegNet: An unsupervised deformable image registration method for 4D-CT lung.
Fu Y; Lei Y; Wang T; Higgins K; Bradley JD; Curran WJ; Liu T; Yang X
Med Phys; 2020 Apr; 47(4):1763-1774. PubMed ID: 32017141
[TBL] [Abstract][Full Text] [Related]
3. 4D-CT deformable image registration using multiscale unsupervised deep learning.
Lei Y; Fu Y; Wang T; Liu Y; Patel P; Curran WJ; Liu T; Yang X
Phys Med Biol; 2020 Apr; 65(8):085003. PubMed ID: 32097902
[TBL] [Abstract][Full Text] [Related]
4. Deformable registration of chest CT images using a 3D convolutional neural network based on unsupervised learning.
Zheng Y; Jiang S; Yang Z
J Appl Clin Med Phys; 2021 Oct; 22(10):22-35. PubMed ID: 34505341
[TBL] [Abstract][Full Text] [Related]
5. An adaptive motion regularization technique to support sliding motion in deformable image registration.
Fu Y; Liu S; Li HH; Li H; Yang D
Med Phys; 2018 Feb; 45(2):735-747. PubMed ID: 29251777
[TBL] [Abstract][Full Text] [Related]
6. Direct estimation of regional lung volume change from paired and single CT images using residual regression neural network.
Gerard SE; Chaudhary MFA; Herrmann J; Christensen GE; San José Estépar R; Reinhardt JM; Hoffman EA
Med Phys; 2023 Sep; 50(9):5698-5714. PubMed ID: 36929883
[TBL] [Abstract][Full Text] [Related]
7. Deep-learning based fast and accurate 3D CT deformable image registration in lung cancer.
Ding Y; Feng H; Yang Y; Holmes J; Liu Z; Liu D; Wong WW; Yu NY; Sio TT; Schild SE; Li B; Liu W
Med Phys; 2023 Nov; 50(11):6864-6880. PubMed ID: 37289193
[TBL] [Abstract][Full Text] [Related]
8. Deformable lung 4DCT image registration via landmark-driven cycle network.
Matkovic L; Lei Y; Fu Y; Wang T; Kesarwala AH; Axente M; Roper J; Higgins K; Bradley JD; Liu T; Yang X
Med Phys; 2024 Mar; 51(3):1974-1984. PubMed ID: 37708440
[TBL] [Abstract][Full Text] [Related]
9. A neural network approach for fast, automated quantification of DIR performance.
Neylon J; Min Y; Low DA; Santhanam A
Med Phys; 2017 Aug; 44(8):4126-4138. PubMed ID: 28477340
[TBL] [Abstract][Full Text] [Related]
10. A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration.
Jiang Z; Yin FF; Ge Y; Ren L
Phys Med Biol; 2020 Jan; 65(1):015011. PubMed ID: 31783390
[TBL] [Abstract][Full Text] [Related]
11. Deformable registration of magnetic resonance images using unsupervised deep learning in neuro-/radiation oncology.
Osman AFI; Al-Mugren KS; Tamam NM; Shahine B
Radiat Oncol; 2024 May; 19(1):61. PubMed ID: 38773620
[TBL] [Abstract][Full Text] [Related]
12. Lung-CRNet: A convolutional recurrent neural network for lung 4DCT image registration.
Lu J; Jin R; Song E; Ma G; Wang M
Med Phys; 2021 Dec; 48(12):7900-7912. PubMed ID: 34726267
[TBL] [Abstract][Full Text] [Related]
13. An unsupervised multi-scale framework with attention-based network (MANet) for lung 4D-CT registration.
Yang J; Yang J; Zhao F; Zhang W
Phys Med Biol; 2021 Jun; 66(13):. PubMed ID: 34126608
[TBL] [Abstract][Full Text] [Related]
14. Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy.
Cazoulat G; Anderson BM; McCulloch MM; Rigaud B; Koay EJ; Brock KK
Med Phys; 2021 Oct; 48(10):5935-5946. PubMed ID: 34390007
[TBL] [Abstract][Full Text] [Related]
15. Deformable CT image registration via a dual feasible neural network.
Lei Y; Fu Y; Tian Z; Wang T; Dai X; Roper J; Yu DS; McDonald M; Bradley JD; Liu T; Zhou J; Yang X
Med Phys; 2022 Dec; 49(12):7545-7554. PubMed ID: 35869866
[TBL] [Abstract][Full Text] [Related]
16. Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance.
Han R; Jones CK; Lee J; Wu P; Vagdargi P; Uneri A; Helm PA; Luciano M; Anderson WS; Siewerdsen JH
Med Image Anal; 2022 Jan; 75():102292. PubMed ID: 34784539
[TBL] [Abstract][Full Text] [Related]
17. A diffeomorphic unsupervised method for deformable soft tissue image registration.
Zhang S; Liu PX; Zheng M; Shi W
Comput Biol Med; 2020 May; 120():103708. PubMed ID: 32217285
[TBL] [Abstract][Full Text] [Related]
18. Mass preserving nonrigid registration of CT lung images using cubic B-spline.
Yin Y; Hoffman EA; Lin CL
Med Phys; 2009 Sep; 36(9):4213-22. PubMed ID: 19810495
[TBL] [Abstract][Full Text] [Related]
19. 3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning.
van Eijnatten M; Rundo L; Batenburg KJ; Lucka F; Beddowes E; Caldas C; Gallagher FA; Sala E; Schönlieb CB; Woitek R
Comput Methods Programs Biomed; 2021 Sep; 208():106261. PubMed ID: 34289437
[TBL] [Abstract][Full Text] [Related]
20. Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images.
Sen A; Anderson BM; Cazoulat G; McCulloch MM; Elganainy D; McDonald BA; He Y; Mohamed ASR; Elgohari BA; Zaid M; Koay EJ; Brock KK
Med Phys; 2020 Apr; 47(4):1670-1679. PubMed ID: 31958147
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
