215 related articles for article (PubMed ID: 37823748)
1. Unsupervised deep learning registration model for multimodal brain images.
Abbasi S; Mehdizadeh A; Boveiri HR; Mosleh Shirazi MA; Javidan R; Khayami R; Tavakoli M
J Appl Clin Med Phys; 2023 Nov; 24(11):e14177. PubMed ID: 37823748
[TBL] [Abstract][Full Text] [Related]
2. Deep learning-based affine medical image registration for multimodal minimal-invasive image-guided interventions - A comparative study on generalizability.
Strittmatter A; Schad LR; Zöllner FG
Z Med Phys; 2024 May; 34(2):291-317. PubMed ID: 37355435
[TBL] [Abstract][Full Text] [Related]
3. Unsupervised End-to-End Brain Tumor Magnetic Resonance Image Registration Using RBCNN: Rigid Transformation, B-Spline Transformation and Convolutional Neural Network.
Sankareswaran SP; Krishnan M
Curr Med Imaging; 2022; 18(4):387-397. PubMed ID: 34365954
[TBL] [Abstract][Full Text] [Related]
4. Label-driven magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) registration using weakly supervised learning for MRI-guided prostate radiotherapy.
Zeng Q; Fu Y; Tian Z; Lei Y; Zhang Y; Wang T; Mao H; Liu T; Curran WJ; Jani AB; Patel P; Yang X
Phys Med Biol; 2020 Jun; 65(13):135002. PubMed ID: 32330922
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
[TBL] [Abstract][Full Text] [Related]
7. A deep learning framework for unsupervised affine and deformable image registration.
de Vos BD; Berendsen FF; Viergever MA; Sokooti H; Staring M; Išgum I
Med Image Anal; 2019 Feb; 52():128-143. PubMed ID: 30579222
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Learning deep similarity metric for 3D MR-TRUS image registration.
Haskins G; Kruecker J; Kruger U; Xu S; Pinto PA; Wood BJ; Yan P
Int J Comput Assist Radiol Surg; 2019 Mar; 14(3):417-425. PubMed ID: 30382457
[TBL] [Abstract][Full Text] [Related]
10. Fast interactive medical image segmentation with weakly supervised deep learning method.
Girum KB; Créhange G; Hussain R; Lalande A
Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1437-1444. PubMed ID: 32653985
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. On the effect of training database size for MR-based synthetic CT generation in the head.
Estakhraji SIZ; Pirasteh A; Bradshaw T; McMillan A
Comput Med Imaging Graph; 2023 Jul; 107():102227. PubMed ID: 37167815
[TBL] [Abstract][Full Text] [Related]
13. Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.
Lucena O; Souza R; Rittner L; Frayne R; Lotufo R
Artif Intell Med; 2019 Jul; 98():48-58. PubMed ID: 31521252
[TBL] [Abstract][Full Text] [Related]
14. Unsupervised learning of a deep neural network for metal artifact correction using dual-polarity readout gradients.
Kwon K; Kim D; Kim B; Park H
Magn Reson Med; 2020 Jan; 83(1):124-138. PubMed ID: 31403219
[TBL] [Abstract][Full Text] [Related]
15. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
[TBL] [Abstract][Full Text] [Related]
16. Deep learning-based convolutional neural network for intramodality brain MRI synthesis.
Osman AFI; Tamam NM
J Appl Clin Med Phys; 2022 Apr; 23(4):e13530. PubMed ID: 35044073
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Learning low-dose CT degradation from unpaired data with flow-based model.
Liu X; Liang X; Deng L; Tan S; Xie Y
Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
[TBL] [Abstract][Full Text] [Related]
20. MR-based synthetic CT generation using a deep convolutional neural network method.
Han X
Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
