BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

151 related articles for article (PubMed ID: 37658885)

  • 1. Deep learning-based detection and quantification of brain metastases on black-blood imaging can provide treatment suggestions: a clinical cohort study.
    Jeong H; Park JE; Kim N; Yoon SK; Kim HS
    Eur Radiol; 2024 Mar; 34(3):2062-2071. PubMed ID: 37658885
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Reducing false positives in deep learning-based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort.
    Yun S; Park JE; Kim N; Park SY; Kim HS
    Eur Radiol; 2024 May; 34(5):2873-2884. PubMed ID: 37891415
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning-based metastasis detection in patients with lung cancer to enhance reproducibility and reduce workload in brain metastasis screening with MRI: a multi-center study.
    Park YW; Park JE; Ahn SS; Han K; Kim N; Oh JY; Lee DH; Won SY; Shin I; Kim HS; Lee SK
    Cancer Imaging; 2024 Mar; 24(1):32. PubMed ID: 38429843
    [TBL] [Abstract][Full Text] [Related]  

  • 4. More advantages in detecting bone and soft tissue metastases from prostate cancer using
    Pianou NK; Stavrou PZ; Vlontzou E; Rondogianni P; Exarhos DN; Datseris IE
    Hell J Nucl Med; 2019; 22(1):6-9. PubMed ID: 30843003
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Computer-aided Detection of Brain Metastases in T1-weighted MRI for Stereotactic Radiosurgery Using Deep Learning Single-Shot Detectors.
    Zhou Z; Sanders JW; Johnson JM; Gule-Monroe MK; Chen MM; Briere TM; Wang Y; Son JB; Pagel MD; Li J; Ma J
    Radiology; 2020 May; 295(2):407-415. PubMed ID: 32181729
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Gradual Self-Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning-Based Brain Metastases Detection Using Nonlocal Networks on MRI Images.
    Liew A; Lee CC; Subramaniam V; Lan BL; Tan M
    J Magn Reson Imaging; 2023 Jun; 57(6):1728-1740. PubMed ID: 36208095
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Time-delayed contrast-enhanced MRI improves detection of brain metastases and apparent treatment volumes.
    Kushnirsky M; Nguyen V; Katz JS; Steinklein J; Rosen L; Warshall C; Schulder M; Knisely JP
    J Neurosurg; 2016 Feb; 124(2):489-95. PubMed ID: 26361281
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning for brain metastasis detection and segmentation in longitudinal MRI data.
    Huang Y; Bert C; Sommer P; Frey B; Gaipl U; Distel LV; Weissmann T; Uder M; Schmidt MA; Dörfler A; Maier A; Fietkau R; Putz F
    Med Phys; 2022 Sep; 49(9):5773-5786. PubMed ID: 35833351
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automated Detection of Brain Metastases on T1-Weighted MRI Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy.
    Chartrand G; Emiliani RD; Pawlowski SA; Markel DA; Bahig H; Cengarle-Samak A; Rajakesari S; Lavoie J; Ducharme S; Roberge D
    J Magn Reson Imaging; 2022 Dec; 56(6):1885-1898. PubMed ID: 35624544
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MRI-based two-stage deep learning model for automatic detection and segmentation of brain metastases.
    Li R; Guo Y; Zhao Z; Chen M; Liu X; Gong G; Wang L
    Eur Radiol; 2023 May; 33(5):3521-3531. PubMed ID: 36695903
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predictors of quality of life and survival following Gamma Knife surgery for lung cancer brain metastases: a prospective study.
    Bragstad S; Flatebø M; Natvig GK; Eide GE; Skeie GO; Behbahani M; Pedersen PH; Enger PØ; Skeie BS
    J Neurosurg; 2018 Jul; 129(1):71-83. PubMed ID: 28820304
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and validation of a deep-learning model for detecting brain metastases on 3D post-contrast MRI: a multi-center multi-reader evaluation study.
    Yin S; Luo X; Yang Y; Shao Y; Ma L; Lin C; Yang Q; Wang D; Luo Y; Mai Z; Fan W; Zheng D; Li J; Cheng F; Zhang Y; Zhong X; Shen F; Shao G; Wu J; Sun Y; Luo H; Li C; Gao Y; Shen D; Zhang R; Xie C
    Neuro Oncol; 2022 Sep; 24(9):1559-1570. PubMed ID: 35100427
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study.
    Jayachandran Preetha C; Meredig H; Brugnara G; Mahmutoglu MA; Foltyn M; Isensee F; Kessler T; Pflüger I; Schell M; Neuberger U; Petersen J; Wick A; Heiland S; Debus J; Platten M; Idbaih A; Brandes AA; Winkler F; van den Bent MJ; Nabors B; Stupp R; Maier-Hein KH; Gorlia T; Tonn JC; Weller M; Wick W; Bendszus M; Vollmuth P
    Lancet Digit Health; 2021 Dec; 3(12):e784-e794. PubMed ID: 34688602
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fully Automated MR Detection and Segmentation of Brain Metastases in Non-small Cell Lung Cancer Using Deep Learning.
    Jünger ST; Hoyer UCI; Schaufler D; Laukamp KR; Goertz L; Thiele F; Grunz JP; Schlamann M; Perkuhn M; Kabbasch C; Persigehl T; Grau S; Borggrefe J; Scheffler M; Shahzad R; Pennig L
    J Magn Reson Imaging; 2021 Nov; 54(5):1608-1622. PubMed ID: 34032344
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning-based detection and segmentation-assisted management of brain metastases.
    Xue J; Wang B; Ming Y; Liu X; Jiang Z; Wang C; Liu X; Chen L; Qu J; Xu S; Tang X; Mao Y; Liu Y; Li D
    Neuro Oncol; 2020 Apr; 22(4):505-514. PubMed ID: 31867599
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Construction and evaluation of a gated high-resolution neural network for automatic brain metastasis detection and segmentation.
    Qu J; Zhang W; Shu X; Wang Y; Wang L; Xu M; Yao L; Hu N; Tang B; Zhang L; Lui S
    Eur Radiol; 2023 Oct; 33(10):6648-6658. PubMed ID: 37186214
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Survival Patterns of 5750 Stereotactic Radiosurgery-Treated Patients with Brain Metastasis as a Function of the Number of Lesions.
    Ali MA; Hirshman BR; Wilson B; Carroll KT; Proudfoot JA; Goetsch SJ; Alksne JF; Ott K; Aiyama H; Nagano O; Carter BS; Fogarty G; Hong A; Serizawa T; Yamamoto M; Chen CC
    World Neurosurg; 2017 Nov; 107():944-951.e1. PubMed ID: 28735121
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.