BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

260 related articles for article (PubMed ID: 33754155)

  • 1. Randomized multi-reader evaluation of automated detection and segmentation of brain tumors in stereotactic radiosurgery with deep neural networks.
    Lu SL; Xiao FR; Cheng JC; Yang WC; Cheng YH; Chang YC; Lin JY; Liang CH; Lu JT; Chen YF; Hsu FM
    Neuro Oncol; 2021 Sep; 23(9):1560-1568. PubMed ID: 33754155
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Stratified assessment of an FDA-cleared deep learning algorithm for automated detection and contouring of metastatic brain tumors in stereotactic radiosurgery.
    Wang JY; Qu V; Hui C; Sandhu N; Mendoza MG; Panjwani N; Chang YC; Liang CH; Lu JT; Wang L; Kovalchuk N; Gensheimer MF; Soltys SG; Pollom EL
    Radiat Oncol; 2023 Apr; 18(1):61. PubMed ID: 37016416
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.
    Wang T; Lei Y; Tian S; Jiang X; Zhou J; Liu T; Dresser S; Curran WJ; Shu HK; Yang X
    Med Phys; 2019 Jul; 46(7):3133-3141. PubMed ID: 31050804
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of a fully automatic tissue delineation model for brain metastasis using a deep neural network.
    Zhao JY; Cao Q; Chen J; Chen W; Du SY; Yu J; Zeng YM; Wang SM; Peng JY; You C; Xu JG; Wang XY
    Quant Imaging Med Surg; 2023 Oct; 13(10):6724-6734. PubMed ID: 37869331
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery.
    Liu Y; Stojadinovic S; Hrycushko B; Wardak Z; Lau S; Lu W; Yan Y; Jiang SB; Zhen X; Timmerman R; Nedzi L; Gu X
    PLoS One; 2017; 12(10):e0185844. PubMed ID: 28985229
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.
    Tong N; Gou S; Yang S; Ruan D; Sheng K
    Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-based radiological longitudinal evaluation of meningiomas following stereotactic radiosurgery.
    Shimol EB; Joskowicz L; Eliahou R; Shoshan Y
    Int J Comput Assist Radiol Surg; 2018 Feb; 13(2):215-228. PubMed ID: 29032421
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A web-based brain metastases segmentation and labeling platform for stereotactic radiosurgery.
    Yang Z; Liu H; Liu Y; Stojadinovic S; Timmerman R; Nedzi L; Dan T; Wardak Z; Lu W; Gu X
    Med Phys; 2020 Aug; 47(8):3263-3276. PubMed ID: 32333797
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma.
    Lin L; Dou Q; Jin YM; Zhou GQ; Tang YQ; Chen WL; Su BA; Liu F; Tao CJ; Jiang N; Li JY; Tang LL; Xie CM; Huang SM; Ma J; Heng PA; Wee JTS; Chua MLK; Chen H; Sun Y
    Radiology; 2019 Jun; 291(3):677-686. PubMed ID: 30912722
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MetNet: Computer-aided segmentation of brain metastases in post-contrast T1-weighted magnetic resonance imaging.
    Zhou Z; Sanders JW; Johnson JM; Gule-Monroe M; Chen M; Briere TM; Wang Y; Son JB; Pagel MD; Ma J; Li J
    Radiother Oncol; 2020 Dec; 153():189-196. PubMed ID: 32937104
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation.
    Ottom MA; Rahman HA; Dinov ID
    IEEE J Transl Eng Health Med; 2022; 10():1800508. PubMed ID: 35774412
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Automatic segmentation of brain metastases using T1 magnetic resonance and computed tomography images.
    Hsu DG; Ballangrud Å; Shamseddine A; Deasy JO; Veeraraghavan H; Cervino L; Beal K; Aristophanous M
    Phys Med Biol; 2021 Aug; 66(17):. PubMed ID: 34315148
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic metastatic brain tumor segmentation for stereotactic radiosurgery applications.
    Liu Y; Stojadinovic S; Hrycushko B; Wardak Z; Lu W; Yan Y; Jiang SB; Timmerman R; Abdulrahman R; Nedzi L; Gu X
    Phys Med Biol; 2016 Dec; 61(24):8440-8461. PubMed ID: 27845915
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fully automated segmentation of brain tumor from multiparametric MRI using 3D context deep supervised U-Net.
    Lin M; Momin S; Lei Y; Wang H; Curran WJ; Liu T; Yang X
    Med Phys; 2021 Aug; 48(8):4365-4374. PubMed ID: 34101845
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data.
    Bousabarah K; Ruge M; Brand JS; Hoevels M; Rueß D; Borggrefe J; Große Hokamp N; Visser-Vandewalle V; Maintz D; Treuer H; Kocher M
    Radiat Oncol; 2020 Apr; 15(1):87. PubMed ID: 32312276
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Expert-level pediatric brain tumor segmentation in a limited data scenario with stepwise transfer learning.
    Boyd A; Ye Z; Prabhu S; Tjong MC; Zha Y; Zapaishchykova A; Vajapeyam S; Hayat H; Chopra R; Liu KX; Nabavidazeh A; Resnick A; Mueller S; Haas-Kogan D; Aerts HJWL; Poussaint T; Kann BH
    medRxiv; 2023 Sep; ():. PubMed ID: 37425854
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Interpretable AI-assisted clinical decision making (CDM) for dose prescription in radiosurgery of brain metastases.
    Cao Y; Kunaprayoon D; Ren L
    Radiother Oncol; 2023 Oct; 187():109842. PubMed ID: 37543055
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 13.