These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 35785776)

  • 1. Deformable image registration with deep network priors: a study on longitudinal PET images.
    Fourcade C; Ferrer L; Moreau N; Santini G; Brennan A; Rousseau C; Lacombe M; Fleury V; Colombié M; Jézéquel P; Rubeaux M; Mateus D
    Phys Med Biol; 2022 Jul; 67(15):. PubMed ID: 35785776
    [No Abstract]   [Full Text] [Related]  

  • 2. Automatic liver tumor localization using deep learning-based liver boundary motion estimation and biomechanical modeling (DL-Bio).
    Shao HC; Huang X; Folkert MR; Wang J; Zhang Y
    Med Phys; 2021 Dec; 48(12):7790-7805. PubMed ID: 34632589
    [TBL] [Abstract][Full Text] [Related]  

  • 3. FDRN: A fast deformable registration network for medical images.
    Sun K; Simon S
    Med Phys; 2021 Oct; 48(10):6453-6463. PubMed ID: 34053089
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. A Comparative Evaluation of 3 Different Free-Form Deformable Image Registration and Contour Propagation Methods for Head and Neck MRI: The Case of Parotid Changes During Radiotherapy.
    Broggi S; Scalco E; Belli ML; Logghe G; Verellen D; Moriconi S; Chiara A; Palmisano A; Mellone R; Fiorino C; Rizzo G
    Technol Cancer Res Treat; 2017 Jun; 16(3):373-381. PubMed ID: 28168934
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sensitivity study of voxel-based PET image comparison to image registration algorithms.
    Yip S; Chen AB; Aerts HJ; Berbeco R
    Med Phys; 2014 Nov; 41(11):111714. PubMed ID: 25370628
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fast Deformable Image Registration for Real-Time Target Tracking During Radiation Therapy Using Cine MRI and Deep Learning.
    Hunt B; Gill GS; Alexander DA; Streeter SS; Gladstone DJ; Russo GA; Zaki BI; Pogue BW; Zhang R
    Int J Radiat Oncol Biol Phys; 2023 Mar; 115(4):983-993. PubMed ID: 36309075
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Joint synthesis and registration network for deformable MR-CBCT image registration for neurosurgical guidance.
    Han R; Jones CK; Lee J; Zhang X; Wu P; Vagdargi P; Uneri A; Helm PA; Luciano M; Anderson WS; Siewerdsen JH
    Phys Med Biol; 2022 Jun; 67(12):. PubMed ID: 35609586
    [No Abstract]   [Full Text] [Related]  

  • 10. Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer.
    Han X; Hong J; Reyngold M; Crane C; Cuaron J; Hajj C; Mann J; Zinovoy M; Greer H; Yorke E; Mageras G; Niethammer M
    Med Phys; 2021 Jun; 48(6):3084-3095. PubMed ID: 33905539
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Learning Based Joint PET Image Reconstruction and Motion Estimation.
    Li T; Zhang M; Qi W; Asma E; Qi J
    IEEE Trans Med Imaging; 2022 May; 41(5):1230-1241. PubMed ID: 34928789
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks.
    Fu Y; Wang T; Lei Y; Patel P; Jani AB; Curran WJ; Liu T; Yang X
    Med Phys; 2021 Jan; 48(1):253-263. PubMed ID: 33164219
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep-JASC: joint attenuation and scatter correction in whole-body
    Shiri I; Arabi H; Geramifar P; Hajianfar G; Ghafarian P; Rahmim A; Ay MR; Zaidi H
    Eur J Nucl Med Mol Imaging; 2020 Oct; 47(11):2533-2548. PubMed ID: 32415552
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Non-rigid registration of serial dedicated breast CT, longitudinal dedicated breast CT and PET/CT images using the diffeomorphic demons method.
    Santos J; Chaudhari AJ; Joshi AA; Ferrero A; Yang K; Boone JM; Badawi RD
    Phys Med; 2014 Sep; 30(6):713-7. PubMed ID: 25022452
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Motion correction of respiratory-gated PET images using deep learning based image registration framework.
    Li T; Zhang M; Qi W; Asma E; Qi J
    Phys Med Biol; 2020 Jul; 65(15):155003. PubMed ID: 32244230
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CT-PET weighted image fusion for separately scanned whole body rat.
    Suh JW; Kwon OK; Scheinost D; Sinusas AJ; Cline GW; Papademetris X
    Med Phys; 2012 Jan; 39(1):533-42. PubMed ID: 22225323
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Temporal subtraction contrast-enhanced dedicated breast CT.
    Gazi PM; Aminololama-Shakeri S; Yang K; Boone JM
    Phys Med Biol; 2016 Sep; 61(17):6322-46. PubMed ID: 27494376
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Brain CT registration using hybrid supervised convolutional neural network.
    Yuan H; Yang M; Qian S; Wang W; Jia X; Huang F
    Biomed Eng Online; 2021 Dec; 20(1):131. PubMed ID: 34965854
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dual attention network for unsupervised medical image registration based on VoxelMorph.
    Li YX; Tang H; Wang W; Zhang XF; Qu H
    Sci Rep; 2022 Sep; 12(1):16250. PubMed ID: 36171468
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.