BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1295 related articles for article (PubMed ID: 35044073)

  • 1. 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]  

  • 2. Contrast-enhanced MRI synthesis using dense-dilated residual convolutions based 3D network toward elimination of gadolinium in neuro-oncology.
    Osman AFI; Tamam NM
    J Appl Clin Med Phys; 2023 Dec; 24(12):e14120. PubMed ID: 37552487
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of deep learning synthesis of synthetic CTs using clinical MRI inputs.
    Massa HA; Johnson JM; McMillan AB
    Phys Med Biol; 2020 Dec; 65(23):23NT03. PubMed ID: 33120371
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multimodal MRI synthesis using unified generative adversarial networks.
    Dai X; Lei Y; Fu Y; Curran WJ; Liu T; Mao H; Yang X
    Med Phys; 2020 Dec; 47(12):6343-6354. PubMed ID: 33053202
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. Virtual Contrast-Enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-Guided Synergistic Neural Network.
    Li W; Xiao H; Li T; Ren G; Lam S; Teng X; Liu C; Zhang J; Kar-Ho Lee F; Au KH; Ho-Fun Lee V; Chang ATY; Cai J
    Int J Radiat Oncol Biol Phys; 2022 Mar; 112(4):1033-1044. PubMed ID: 34774997
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Generative Adversarial Networks to Synthesize Missing T1 and FLAIR MRI Sequences for Use in a Multisequence Brain Tumor Segmentation Model.
    Conte GM; Weston AD; Vogelsang DC; Philbrick KA; Cai JC; Barbera M; Sanvito F; Lachance DH; Jenkins RB; Tobin WO; Eckel-Passow JE; Erickson BJ
    Radiology; 2021 May; 299(2):313-323. PubMed ID: 33687284
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data.
    Moya-Sáez E; Peña-Nogales Ó; Luis-García R; Alberola-López C
    Comput Methods Programs Biomed; 2021 Oct; 210():106371. PubMed ID: 34525411
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Reconstruction of multicontrast MR images through deep learning.
    Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH
    Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers.
    Kidoh M; Shinoda K; Kitajima M; Isogawa K; Nambu M; Uetani H; Morita K; Nakaura T; Tateishi M; Yamashita Y; Yamashita Y
    Magn Reson Med Sci; 2020 Aug; 19(3):195-206. PubMed ID: 31484849
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated glioma grading on conventional MRI images using deep convolutional neural networks.
    Zhuge Y; Ning H; Mathen P; Cheng JY; Krauze AV; Camphausen K; Miller RW
    Med Phys; 2020 Jul; 47(7):3044-3053. PubMed ID: 32277478
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Synthesizing high-resolution magnetic resonance imaging using parallel cycle-consistent generative adversarial networks for fast magnetic resonance imaging.
    Xie H; Lei Y; Wang T; Roper J; Dhabaan AH; Bradley JD; Liu T; Mao H; Yang X
    Med Phys; 2022 Jan; 49(1):357-369. PubMed ID: 34821395
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Direct synthesis of multi-contrast brain MR images from MR multitasking spatial factors using deep learning.
    Qiu S; Ma S; Wang L; Chen Y; Fan Z; Moser FG; Maya M; Sati P; Sicotte NL; Christodoulou AG; Xie Y; Li D
    Magn Reson Med; 2023 Oct; 90(4):1672-1681. PubMed ID: 37246485
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI.
    Bahrami A; Karimian A; Fatemizadeh E; Arabi H; Zaidi H
    Med Phys; 2020 Oct; 47(10):5158-5171. PubMed ID: 32730661
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MRI motion artifact reduction using a conditional diffusion probabilistic model (MAR-CDPM).
    Safari M; Yang X; Fatemi A; Archambault L
    Med Phys; 2024 Apr; 51(4):2598-2610. PubMed ID: 38009583
    [TBL] [Abstract][Full Text] [Related]  

  • 18. On the proper use of structural similarity for the robust evaluation of medical image synthesis models.
    Gourdeau D; Duchesne S; Archambault L
    Med Phys; 2022 Apr; 49(4):2462-2474. PubMed ID: 35106778
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning.
    Li W; Kazemifar S; Bai T; Nguyen D; Weng Y; Li Y; Xia J; Xiong J; Xie Y; Owrangi A; Jiang S
    Biomed Phys Eng Express; 2021 Feb; 7(2):. PubMed ID: 33545707
    [No Abstract]   [Full Text] [Related]  

  • 20. MRI image synthesis for fluid-attenuated inversion recovery and diffusion-weighted images with deep learning.
    Kawahara D; Yoshimura H; Matsuura T; Saito A; Nagata Y
    Phys Eng Sci Med; 2023 Mar; 46(1):313-323. PubMed ID: 36715853
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 65.