BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

362 related articles for article (PubMed ID: 34032344)

  • 1. 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]  

  • 2. Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning.
    Pennig L; Hoyer UCI; Goertz L; Shahzad R; Persigehl T; Thiele F; Perkuhn M; Ruge MI; Kabbasch C; Borggrefe J; Caldeira L; Laukamp KR
    J Magn Reson Imaging; 2021 Jan; 53(1):259-268. PubMed ID: 32662130
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated Detection and Segmentation of Brain Metastases in Malignant Melanoma: Evaluation of a Dedicated Deep Learning Model.
    Pennig L; Shahzad R; Caldeira L; Lennartz S; Thiele F; Goertz L; Zopfs D; Meißner AK; Fürtjes G; Perkuhn M; Kabbasch C; Grau S; Borggrefe J; Laukamp KR
    AJNR Am J Neuroradiol; 2021 Apr; 42(4):655-662. PubMed ID: 33541907
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images.
    Jiao T; Li F; Cui Y; Wang X; Li B; Shi F; Xia Y; Zhou Q; Zeng Q
    J Magn Reson Imaging; 2023 Nov; 58(5):1624-1635. PubMed ID: 36965182
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning Based on Enhanced MRI T1 Imaging to Differentiate Small-cell and Non-small-cell Primary Lung Cancers in Patients with Brain Metastases.
    Sui L; Chang S; Xue L; Wang J; Zhang Y; Yang K; Gao BL; Yin X
    Curr Med Imaging; 2023; 19(13):1541-1548. PubMed ID: 36717988
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI.
    Grøvik E; Yi D; Iv M; Tong E; Rubin D; Zaharchuk G
    J Magn Reson Imaging; 2020 Jan; 51(1):175-182. PubMed ID: 31050074
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI.
    Laukamp KR; Thiele F; Shakirin G; Zopfs D; Faymonville A; Timmer M; Maintz D; Perkuhn M; Borggrefe J
    Eur Radiol; 2019 Jan; 29(1):124-132. PubMed ID: 29943184
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning.
    Shahzad R; Pennig L; Goertz L; Thiele F; Kabbasch C; Schlamann M; Krischek B; Maintz D; Perkuhn M; Borggrefe J
    Sci Rep; 2020 Dec; 10(1):21799. PubMed ID: 33311535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated Meningioma Segmentation in Multiparametric MRI : Comparable Effectiveness of a Deep Learning Model and Manual Segmentation.
    Laukamp KR; Pennig L; Thiele F; Reimer R; Görtz L; Shakirin G; Zopfs D; Timmer M; Perkuhn M; Borggrefe J
    Clin Neuroradiol; 2021 Jun; 31(2):357-366. PubMed ID: 32060575
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Clinical Evaluation of a Multiparametric Deep Learning Model for Glioblastoma Segmentation Using Heterogeneous Magnetic Resonance Imaging Data From Clinical Routine.
    Perkuhn M; Stavrinou P; Thiele F; Shakirin G; Mohan M; Garmpis D; Kabbasch C; Borggrefe J
    Invest Radiol; 2018 Nov; 53(11):647-654. PubMed ID: 29863600
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Deep Learning-Based Automatic Detection of Brain Metastases in Heterogenous Multi-Institutional Magnetic Resonance Imaging Sets: An Exploratory Analysis of NRG-CC001.
    Liang Y; Lee K; Bovi JA; Palmer JD; Brown PD; Gondi V; Tomé WA; Benzinger TLS; Mehta MP; Li XA
    Int J Radiat Oncol Biol Phys; 2022 Nov; 114(3):529-536. PubMed ID: 35787927
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.
    Park GE; Kim SH; Nam Y; Kang J; Park M; Kang BJ
    J Magn Reson Imaging; 2024 Jun; 59(6):2252-2262. PubMed ID: 37596823
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts.
    Verburg E; Wolterink JM; de Waard SN; Išgum I; van Gils CH; Veldhuis WB; Gilhuijs KGA
    Med Phys; 2019 Oct; 46(10):4405-4416. PubMed ID: 31274194
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning.
    Kang H; Witanto JN; Pratama K; Lee D; Choi KS; Choi SH; Kim KM; Kim MS; Kim JW; Kim YH; Park SJ; Park CK
    J Magn Reson Imaging; 2023 Mar; 57(3):871-881. PubMed ID: 35775971
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identifying core MRI sequences for reliable automatic brain metastasis segmentation.
    Buchner JA; Peeken JC; Etzel L; Ezhov I; Mayinger M; Christ SM; Brunner TB; Wittig A; Menze BH; Zimmer C; Meyer B; Guckenberger M; Andratschke N; El Shafie RA; Debus J; Rogers S; Riesterer O; Schulze K; Feldmann HJ; Blanck O; Zamboglou C; Ferentinos K; Bilger A; Grosu AL; Wolff R; Kirschke JS; Eitz KA; Combs SE; Bernhardt D; Rueckert D; Piraud M; Wiestler B; Kofler F
    Radiother Oncol; 2023 Nov; 188():109901. PubMed ID: 37678623
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI.
    Arnold TC; Muthukrishnan R; Pattnaik AR; Sinha N; Gibson A; Gonzalez H; Das SR; Litt B; Englot DJ; Morgan VL; Davis KA; Stein JM
    Neuroimage Clin; 2022; 36():103154. PubMed ID: 35988342
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.
    Narayana PA; Coronado I; Sujit SJ; Wolinsky JS; Lublin FD; Gabr RE
    J Magn Reson Imaging; 2020 May; 51(5):1487-1496. PubMed ID: 31625650
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.