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 *

127 related articles for article (PubMed ID: 39074490)

  • 1. Landmark-based auto-contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer.
    Sjogreen C; Netherton TJ; Lee A; Soliman M; Gay SS; Nguyen C; Mumme R; Vazquez I; Rhee DJ; Cardenas CE; Martel MK; Beadle BM; Court LE
    J Appl Clin Med Phys; 2024 Jul; ():e14474. PubMed ID: 39074490
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Deep Learning Algorithm for Auto-Delineation of High-Risk Oropharyngeal Clinical Target Volumes With Built-In Dice Similarity Coefficient Parameter Optimization Function.
    Cardenas CE; McCarroll RE; Court LE; Elgohari BA; Elhalawani H; Fuller CD; Kamal MJ; Meheissen MAM; Mohamed ASR; Rao A; Williams B; Wong A; Yang J; Aristophanous M
    Int J Radiat Oncol Biol Phys; 2018 Jun; 101(2):468-478. PubMed ID: 29559291
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Consequences of introducing geometric GTV to CTV margin expansion in DAHANCA contouring guidelines for head and neck radiotherapy.
    Hansen CR; Johansen J; Samsøe E; Andersen E; Petersen JBB; Jensen K; Andersen LJ; Sand HMB; Bertelsen AS; Grau C
    Radiother Oncol; 2018 Jan; 126(1):43-47. PubMed ID: 28987748
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic end-to-end VMAT treatment planning for rectal cancers.
    Huang K; Chung C; Ludmir EB; Zhang L; Owens CA; Vega JG; Duryea J; Zhao Y; Chen X; Fuentes D; Cardenas CE; Briere TM; Beddar S; Court LE; Das P
    J Appl Clin Med Phys; 2024 Apr; 25(4):e14259. PubMed ID: 38317597
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Self-configuring nnU-Net for automatic delineation of the organs at risk and target in high-dose rate cervical brachytherapy, a low/middle-income country's experience.
    Duprez D; Trauernicht C; Simonds H; Williams O
    J Appl Clin Med Phys; 2023 Aug; 24(8):e13988. PubMed ID: 37042449
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Initial Evaluation of a Novel Cone-Beam CT-Based Semi-Automated Online Adaptive Radiotherapy System for Head and Neck Cancer Treatment - A Timing and Automation Quality Study.
    Yoon SW; Lin H; Alonso-Basanta M; Anderson N; Apinorasethkul O; Cooper K; Dong L; Kempsey B; Marcel J; Metz J; Scheuermann R; Li T
    Cureus; 2020 Aug; 12(8):e9660. PubMed ID: 32923257
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic contouring system for cervical cancer using convolutional neural networks.
    Rhee DJ; Jhingran A; Rigaud B; Netherton T; Cardenas CE; Zhang L; Vedam S; Kry S; Brock KK; Shaw W; O'Reilly F; Parkes J; Burger H; Fakie N; Trauernicht C; Simonds H; Court LE
    Med Phys; 2020 Nov; 47(11):5648-5658. PubMed ID: 32964477
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Clinical Evaluation of an Auto-Segmentation Tool for Spine SBRT Treatment.
    Chen Y; Vinogradskiy Y; Yu Y; Shi W; Liu H
    Front Oncol; 2022; 12():842579. PubMed ID: 35359361
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Assessment of deep learning-based auto-contouring on interobserver consistency in target volume and organs-at-risk delineation for breast cancer: Implications for RTQA program in a multi-institutional study.
    Choi MS; Chang JS; Kim K; Kim JH; Kim TH; Kim S; Cha H; Cho O; Choi JH; Kim M; Kim J; Kim TG; Yeo SG; Chang AR; Ahn SJ; Choi J; Kang KM; Kwon J; Koo T; Kim MY; Choi SH; Jeong BK; Jang BS; Jo IY; Lee H; Kim N; Park HJ; Im JH; Lee SW; Cho Y; Lee SY; Chang JH; Chun J; Lee EM; Kim JS; Shin KH; Kim YB
    Breast; 2024 Feb; 73():103599. PubMed ID: 37992527
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Clinical feasibility of deep learning-based auto-segmentation of target volumes and organs-at-risk in breast cancer patients after breast-conserving surgery.
    Chung SY; Chang JS; Choi MS; Chang Y; Choi BS; Chun J; Keum KC; Kim JS; Kim YB
    Radiat Oncol; 2021 Feb; 16(1):44. PubMed ID: 33632248
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comprehensive clinical evaluation of deep learning-based auto-segmentation for radiotherapy in patients with cervical cancer.
    Chung SY; Chang JS; Kim YB
    Front Oncol; 2023; 13():1119008. PubMed ID: 37188180
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers.
    Wong J; Huang V; Wells D; Giambattista J; Giambattista J; Kolbeck C; Otto K; Saibishkumar EP; Alexander A
    Radiat Oncol; 2021 Jun; 16(1):101. PubMed ID: 34103062
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prospects for daily online adaptive radiotherapy via ethos for prostate cancer patients without nodal involvement using unedited CBCT auto-segmentation.
    Moazzezi M; Rose B; Kisling K; Moore KL; Ray X
    J Appl Clin Med Phys; 2021 Oct; 22(10):82-93. PubMed ID: 34432932
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Clinical evaluation of deep learning-based automatic clinical target volume segmentation: a single-institution multi-site tumor experience.
    Hou Z; Gao S; Liu J; Yin Y; Zhang L; Han Y; Yan J; Li S
    Radiol Med; 2023 Oct; 128(10):1250-1261. PubMed ID: 37597126
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Validation of a Magnetic Resonance Imaging-based Auto-contouring Software Tool for Gross Tumour Delineation in Head and Neck Cancer Radiotherapy Planning.
    Doshi T; Wilson C; Paterson C; Lamb C; James A; MacKenzie K; Soraghan J; Petropoulakis L; Di Caterina G; Grose D
    Clin Oncol (R Coll Radiol); 2017 Jan; 29(1):60-67. PubMed ID: 27780693
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Auto-delineation of oropharyngeal clinical target volumes using 3D convolutional neural networks.
    Cardenas CE; Anderson BM; Aristophanous M; Yang J; Rhee DJ; McCarroll RE; Mohamed ASR; Kamal M; Elgohari BA; Elhalawani HM; Fuller CD; Rao A; Garden AS; Court LE
    Phys Med Biol; 2018 Nov; 63(21):215026. PubMed ID: 30403188
    [TBL] [Abstract][Full Text] [Related]  

  • 18. NRG brain tumor specialists consensus guidelines for glioblastoma contouring.
    Kruser TJ; Bosch WR; Badiyan SN; Bovi JA; Ghia AJ; Kim MM; Solanki AA; Sachdev S; Tsien C; Wang TJC; Mehta MP; McMullen KP
    J Neurooncol; 2019 May; 143(1):157-166. PubMed ID: 30888558
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ESTRO ACROP guideline on prostate bed delineation for postoperative radiotherapy in prostate cancer.
    Dal Pra A; Dirix P; Khoo V; Carrie C; Cozzarini C; Fonteyne V; Ghadjar P; Gomez-Iturriaga A; Panebianco V; Zapatero A; Bossi A; Wiegel T
    Clin Transl Radiat Oncol; 2023 Jul; 41():100638. PubMed ID: 37251620
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.
    Balagopal A; Nguyen D; Morgan H; Weng Y; Dohopolski M; Lin MH; Barkousaraie AS; Gonzalez Y; Garant A; Desai N; Hannan R; Jiang S
    Med Image Anal; 2021 Aug; 72():102101. PubMed ID: 34111573
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.