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: 34647039)

  • 1. Quantitative neuronal morphometry by supervised and unsupervised learning.
    Bijari K; Valera G; López-Schier H; Ascoli GA
    STAR Protoc; 2021 Dec; 2(4):100867. PubMed ID: 34647039
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protocol for neuron tracing and analysis of dendritic structures from noisy microscopy images using Neuronalyzer.
    Iosilevskii Y; Yuval O; Shemesh T; Podbilewicz B
    STAR Protoc; 2024 Jun; 5(2):103063. PubMed ID: 38735040
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain.
    Wang X; Zeng W; Yang X; Zhang Y; Fang C; Zeng S; Han Y; Fei P
    Elife; 2021 Jan; 10():. PubMed ID: 33459255
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An open access, machine learning pipeline for high-throughput quantification of cell morphology.
    Welter EM; Kosyk O; Zannas AS
    STAR Protoc; 2023 Mar; 4(1):101947. PubMed ID: 36527712
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Software for segmenting and quantifying calcium signals using multi-scale generative adversarial networks.
    Moghnieh H; Kamran SA; Hossain KF; Kuol N; Riar S; Bartlett A; Tavakkoli A; Baker SA
    STAR Protoc; 2022 Dec; 3(4):101852. PubMed ID: 36595928
    [TBL] [Abstract][Full Text] [Related]  

  • 6. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
    Segebarth D; Griebel M; Stein N; von Collenberg CR; Martin C; Fiedler D; Comeras LB; Sah A; Schoeffler V; Lüffe T; Dürr A; Gupta R; Sasi M; Lillesaar C; Lange MD; Tasan RO; Singewald N; Pape HC; Flath CM; Blum R
    Elife; 2020 Oct; 9():. PubMed ID: 33074102
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification.
    Arganda-Carreras I; Kaynig V; Rueden C; Eliceiri KW; Schindelin J; Cardona A; Sebastian Seung H
    Bioinformatics; 2017 Aug; 33(15):2424-2426. PubMed ID: 28369169
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine learning applications in cell image analysis.
    Kan A
    Immunol Cell Biol; 2017 Jul; 95(6):525-530. PubMed ID: 28294138
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A dynamic and expandable digital 3D-atlas maker for monitoring the temporal changes in tissue growth during hindbrain morphogenesis.
    Blanc M; Dalmasso G; Udina F; Pujades C
    Elife; 2022 Sep; 11():. PubMed ID: 36169400
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images.
    Wen C; Miura T; Voleti V; Yamaguchi K; Tsutsumi M; Yamamoto K; Otomo K; Fujie Y; Teramoto T; Ishihara T; Aoki K; Nemoto T; Hillman EM; Kimura KD
    Elife; 2021 Mar; 10():. PubMed ID: 33781383
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The DIADEM metric: comparing multiple reconstructions of the same neuron.
    Gillette TA; Brown KM; Ascoli GA
    Neuroinformatics; 2011 Sep; 9(2-3):233-45. PubMed ID: 21519813
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology.
    Parekh R; Ascoli GA
    Neuroscientist; 2015 Jun; 21(3):241-54. PubMed ID: 24972604
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CytoCensus, mapping cell identity and division in tissues and organs using machine learning.
    Hailstone M; Waithe D; Samuels TJ; Yang L; Costello I; Arava Y; Robertson E; Parton RM; Davis I
    Elife; 2020 May; 9():. PubMed ID: 32423529
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The importance of metadata to assess information content in digital reconstructions of neuronal morphology.
    Parekh R; Armañanzas R; Ascoli GA
    Cell Tissue Res; 2015 Apr; 360(1):121-7. PubMed ID: 25653123
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning cellular morphology with neural networks.
    Schubert PJ; Dorkenwald S; Januszewski M; Jain V; Kornfeld J
    Nat Commun; 2019 Jun; 10(1):2736. PubMed ID: 31227718
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An open-source tool for analysis and automatic identification of dendritic spines using machine learning.
    Smirnov MS; Garrett TR; Yasuda R
    PLoS One; 2018; 13(7):e0199589. PubMed ID: 29975722
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An open-source solution for advanced imaging flow cytometry data analysis using machine learning.
    Hennig H; Rees P; Blasi T; Kamentsky L; Hung J; Dao D; Carpenter AE; Filby A
    Methods; 2017 Jan; 112():201-210. PubMed ID: 27594698
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A platform for brain-wide imaging and reconstruction of individual neurons.
    Economo MN; Clack NG; Lavis LD; Gerfen CR; Svoboda K; Myers EW; Chandrashekar J
    Elife; 2016 Jan; 5():e10566. PubMed ID: 26796534
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Advanced Cell Classifier: User-Friendly Machine-Learning-Based Software for Discovering Phenotypes in High-Content Imaging Data.
    Piccinini F; Balassa T; Szkalisity A; Molnar C; Paavolainen L; Kujala K; Buzas K; Sarazova M; Pietiainen V; Kutay U; Smith K; Horvath P
    Cell Syst; 2017 Jun; 4(6):651-655.e5. PubMed ID: 28647475
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Machine Learning: Advanced Image Segmentation Using ilastik.
    Kreshuk A; Zhang C
    Methods Mol Biol; 2019; 2040():449-463. PubMed ID: 31432492
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.