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 *

156 related articles for article (PubMed ID: 38519291)

  • 21. Data-driven dose calculation algorithm based on deep U-Net.
    Fan J; Xing L; Dong P; Wang J; Hu W; Yang Y
    Phys Med Biol; 2020 Dec; 65(24):245035. PubMed ID: 33181506
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.
    Huet-Dastarac M; Michiels S; Rivas ST; Ozan H; Sterpin E; Lee JA; Barragan-Montero A
    Med Phys; 2023 Oct; 50(10):6201-6214. PubMed ID: 37140481
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.
    D'Aviero A; Re A; Catucci F; Piccari D; Votta C; Piro D; Piras A; Di Dio C; Iezzi M; Preziosi F; Menna S; Quaranta F; Boschetti A; Marras M; Miccichè F; Gallus R; Indovina L; Bussu F; Valentini V; Cusumano D; Mattiucci GC
    Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35897425
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.
    Shen C; Gonzalez Y; Klages P; Qin N; Jung H; Chen L; Nguyen D; Jiang SB; Jia X
    Phys Med Biol; 2019 May; 64(11):115013. PubMed ID: 30978709
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.
    Kocher M; Ruge MI; Galldiks N; Lohmann P
    Strahlenther Onkol; 2020 Oct; 196(10):856-867. PubMed ID: 32394100
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Validation of a Fully Automated Hybrid Deep Learning Cardiac Substructure Segmentation Tool for Contouring and Dose Evaluation in Lung Cancer Radiotherapy.
    Chin V; Finnegan RN; Chlap P; Otton J; Haidar A; Holloway L; Thwaites DI; Dowling J; Delaney GP; Vinod SK
    Clin Oncol (R Coll Radiol); 2023 Jun; 35(6):370-381. PubMed ID: 36964031
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Artificial intelligence in radiotherapy.
    Li G; Wu X; Ma X
    Semin Cancer Biol; 2022 Nov; 86(Pt 2):160-171. PubMed ID: 35998809
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep learning-based auto-segmentation of clinical target volumes for radiotherapy treatment of cervical cancer.
    Ma CY; Zhou JY; Xu XT; Guo J; Han MF; Gao YZ; Du H; Stahl JN; Maltz JS
    J Appl Clin Med Phys; 2022 Feb; 23(2):e13470. PubMed ID: 34807501
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Advances in Auto-Segmentation.
    Cardenas CE; Yang J; Anderson BM; Court LE; Brock KB
    Semin Radiat Oncol; 2019 Jul; 29(3):185-197. PubMed ID: 31027636
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images.
    Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D
    J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.
    Savenije MHF; Maspero M; Sikkes GG; van der Voort van Zyp JRN; T J Kotte AN; Bol GH; T van den Berg CA
    Radiat Oncol; 2020 May; 15(1):104. PubMed ID: 32393280
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Evaluating the clinical acceptability of deep learning contours of prostate and organs-at-risk in an automated prostate treatment planning process.
    Duan J; Bernard M; Downes L; Willows B; Feng X; Mourad WF; St Clair W; Chen Q
    Med Phys; 2022 Apr; 49(4):2570-2581. PubMed ID: 35147216
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparative clinical evaluation of atlas and deep-learning-based auto-segmentation of organ structures in liver cancer.
    Ahn SH; Yeo AU; Kim KH; Kim C; Goh Y; Cho S; Lee SB; Lim YK; Kim H; Shin D; Kim T; Kim TH; Youn SH; Oh ES; Jeong JH
    Radiat Oncol; 2019 Nov; 14(1):213. PubMed ID: 31775825
    [TBL] [Abstract][Full Text] [Related]  

  • 34. DeepMC: a deep learning method for efficient Monte Carlo beamlet dose calculation by predictive denoising in magnetic resonance-guided radiotherapy.
    Neph R; Lyu Q; Huang Y; Yang YM; Sheng K
    Phys Med Biol; 2021 Jan; 66(3):035022. PubMed ID: 33181498
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Revolutionizing radiation therapy: the role of AI in clinical practice.
    Kawamura M; Kamomae T; Yanagawa M; Kamagata K; Fujita S; Ueda D; Matsui Y; Fushimi Y; Fujioka T; Nozaki T; Yamada A; Hirata K; Ito R; Fujima N; Tatsugami F; Nakaura T; Tsuboyama T; Naganawa S
    J Radiat Res; 2024 Jan; 65(1):1-9. PubMed ID: 37996085
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Understanding deep learning - challenges and prospects.
    Adnan N; Umer F
    J Pak Med Assoc; 2022 Feb; 72(Suppl 1)(2):S59-S63. PubMed ID: 35202373
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Object recognition in medical images via anatomy-guided deep learning.
    Jin C; Udupa JK; Zhao L; Tong Y; Odhner D; Pednekar G; Nag S; Lewis S; Poole N; Mannikeri S; Govindasamy S; Singh A; Camaratta J; Owens S; Torigian DA
    Med Image Anal; 2022 Oct; 81():102527. PubMed ID: 35830745
    [TBL] [Abstract][Full Text] [Related]  

  • 38. [Artificial intelligence and glaucoma: A literature review].
    Bunod R; Augstburger E; Brasnu E; Labbe A; Baudouin C
    J Fr Ophtalmol; 2022 Feb; 45(2):216-232. PubMed ID: 34991909
    [TBL] [Abstract][Full Text] [Related]  

  • 39. [A review of machine learning in tumor radiotherapy].
    Zhang J; Zhang Y; Yin Y; Zhu J; Li B
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Oct; 36(5):879-884. PubMed ID: 31631639
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning.
    Chen X; Men K; Li Y; Yi J; Dai J
    Med Phys; 2019 Jan; 46(1):56-64. PubMed ID: 30367492
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.