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 *

134 related articles for article (PubMed ID: 38648788)

  • 1. TIST-Net: style transfer in dynamic contrast enhanced MRI using spatial and temporal information.
    Tattersall AG; Goatman KA; Kershaw LE; Semple SIK; Dahdouh S
    Phys Med Biol; 2024 May; 69(11):. PubMed ID: 38648788
    [No Abstract]   [Full Text] [Related]  

  • 2. 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]  

  • 3. Greybox: A hybrid algorithm for direct estimation of tracer kinetic parameters from undersampled DCE-MRI data.
    Rastogi A; Yalavarthy PK
    Med Phys; 2024 Jul; 51(7):4838-4858. PubMed ID: 38214325
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study.
    Lee PQ; Guida A; Patterson S; Trappenberg T; Bowen C; Beyea SD; Merrimen J; Wang C; Clarke SE
    Comput Med Imaging Graph; 2019 Jul; 75():14-23. PubMed ID: 31117012
    [TBL] [Abstract][Full Text] [Related]  

  • 5. VTDCE-Net: A time invariant deep neural network for direct estimation of pharmacokinetic parameters from undersampled DCE MRI data.
    Rastogi A; Dutta A; Yalavarthy PK
    Med Phys; 2023 Mar; 50(3):1560-1572. PubMed ID: 36354289
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM.
    Zheng R; Wang Q; Lv S; Li C; Wang C; Chen W; Wang H
    IEEE Trans Med Imaging; 2022 Oct; 41(10):2965-2976. PubMed ID: 35576424
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
    Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
    Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Deep learning-based segmentation of left ventricular myocardium on dynamic contrast-enhanced MRI: a comprehensive evaluation across temporal frames.
    Jafari R; Verma R; Aggarwal V; Gupta RK; Singh A
    Int J Comput Assist Radiol Surg; 2024 Oct; 19(10):2055-2062. PubMed ID: 38965165
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis.
    Sun Y; Gu Y; Shi F; Liu J; Li G; Feng Q; Shen D
    Comput Med Imaging Graph; 2024 Jan; 111():102319. PubMed ID: 38147798
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Magnetic resonance imaging contrast enhancement synthesis using cascade networks with local supervision.
    Xie H; Lei Y; Wang T; Roper J; Axente M; Bradley JD; Liu T; Yang X
    Med Phys; 2022 May; 49(5):3278-3287. PubMed ID: 35229344
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase Convolution.
    Hizukuri A; Nakayama R; Goto M; Sakai K
    J Imaging Inform Med; 2024 Aug; 37(4):1567-1578. PubMed ID: 38441702
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation.
    Zhu Q; Du B; Yan P
    IEEE Trans Med Imaging; 2020 Mar; 39(3):753-763. PubMed ID: 31425022
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.
    Balagopal A; Morgan H; Dohopolski M; Timmerman R; Shan J; Heitjan DF; Liu W; Nguyen D; Hannan R; Garant A; Desai N; Jiang S
    Artif Intell Med; 2021 Nov; 121():102195. PubMed ID: 34763810
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel adaptive cubic quasi-Newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup.
    Liu Y; Zhang M; Zhong Z; Zeng X
    Med Phys; 2023 Mar; 50(3):1528-1538. PubMed ID: 36057788
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.
    Sanders JW; Lewis GD; Thames HD; Kudchadker RJ; Venkatesan AM; Bruno TL; Ma J; Pagel MD; Frank SJ
    Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1292-1303. PubMed ID: 32634543
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.
    Zhang L; Mohamed AA; Chai R; Guo Y; Zheng B; Wu S
    J Magn Reson Imaging; 2020 Feb; 51(2):635-643. PubMed ID: 31301201
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Lesion detection in women breast's dynamic contrast-enhanced magnetic resonance imaging using deep learning.
    Saikia S; Si T; Deb D; Bora K; Mallik S; Maulik U; Zhao Z
    Sci Rep; 2023 Dec; 13(1):22555. PubMed ID: 38110462
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MTFN: multi-temporal feature fusing network with co-attention for DCE-MRI synthesis.
    Li W; Liu J; Wang S; Feng C
    BMC Med Imaging; 2024 Feb; 24(1):47. PubMed ID: 38373915
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.