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 *

144 related articles for article (PubMed ID: 30918435)

  • 1. Weakly Supervised Learning of Single-Cell Feature Embeddings.
    Caicedo JC; McQuin C; Goodman A; Singh S; Carpenter AE
    Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit; 2018 Jun; 2018():9309-9318. PubMed ID: 30918435
    [No Abstract]   [Full Text] [Related]  

  • 2. Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
    Ghaffari Laleh N; Muti HS; Loeffler CML; Echle A; Saldanha OL; Mahmood F; Lu MY; Trautwein C; Langer R; Dislich B; Buelow RD; Grabsch HI; Brenner H; Chang-Claude J; Alwers E; Brinker TJ; Khader F; Truhn D; Gaisa NT; Boor P; Hoffmeister M; Schulz V; Kather JN
    Med Image Anal; 2022 Jul; 79():102474. PubMed ID: 35588568
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Learning low-dose CT degradation from unpaired data with flow-based model.
    Liu X; Liang X; Deng L; Tan S; Xie Y
    Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction.
    Huang Q; Chen Y; Liu S; Xu C; Cao T; Xu Y; Wang X; Rao G; Li A; Zeng S; Quan T
    Front Neuroanat; 2020; 14():38. PubMed ID: 32848636
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Supervised Deep Feature Embedding With Handcrafted Feature.
    Kan S; Cen Y; He Z; Zhang Z; Zhang L; Wang Y
    IEEE Trans Image Process; 2019 Dec; 28(12):5809-5823. PubMed ID: 30802863
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Graph Metric Learning for Weakly Supervised Person Re-Identification.
    Meng J; Zheng WS; Lai JH; Wang L
    IEEE Trans Pattern Anal Mach Intell; 2022 Oct; 44(10):6074-6093. PubMed ID: 34048336
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Learning unsupervised feature representations for single cell microscopy images with paired cell inpainting.
    Lu AX; Kraus OZ; Cooper S; Moses AM
    PLoS Comput Biol; 2019 Sep; 15(9):e1007348. PubMed ID: 31479439
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
    Chaitanya K; Erdil E; Karani N; Konukoglu E
    Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI.
    Tian Q; Li Z; Fan Q; Polimeni JR; Bilgic B; Salat DH; Huang SY
    Neuroimage; 2022 Jun; 253():119033. PubMed ID: 35240299
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W; Myers C; Rullkoetter P
    Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Transfer of Learning in the Convolutional Neural Networks on Classifying Geometric Shapes Based on Local or Global Invariants.
    Zheng Y; Huang J; Chen T; Ou Y; Zhou W
    Front Comput Neurosci; 2021; 15():637144. PubMed ID: 33679359
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs.
    Gozzi N; Giacomello E; Sollini M; Kirienko M; Ammirabile A; Lanzi P; Loiacono D; Chiti A
    Diagnostics (Basel); 2022 Aug; 12(9):. PubMed ID: 36140486
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Co-embedding of edges and nodes with deep graph convolutional neural networks.
    Zhou Y; Huo H; Hou Z; Bu L; Mao J; Wang Y; Lv X; Bu F
    Sci Rep; 2023 Oct; 13(1):16966. PubMed ID: 37807013
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using molecular embeddings in QSAR modeling: does it make a difference?
    Sabando MV; Ponzoni I; Milios EE; Soto AJ
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34498670
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Classifying and segmenting microscopy images with deep multiple instance learning.
    Kraus OZ; Ba JL; Frey BJ
    Bioinformatics; 2016 Jun; 32(12):i52-i59. PubMed ID: 27307644
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A hybrid model based on neural networks for biomedical relation extraction.
    Zhang Y; Lin H; Yang Z; Wang J; Zhang S; Sun Y; Yang L
    J Biomed Inform; 2018 May; 81():83-92. PubMed ID: 29601989
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Triplet Deep Hashing with Joint Supervised Loss Based on Deep Neural Networks.
    Li M; An Z; Wei Q; Xiang K; Ma Y
    Comput Intell Neurosci; 2019; 2019():8490364. PubMed ID: 31687007
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Learning From Weakly Labeled Data Based on Manifold Regularized Sparse Model.
    Zhang J; Li S; Jiang M; Tan KC
    IEEE Trans Cybern; 2022 May; 52(5):3841-3854. PubMed ID: 32877346
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks.
    Alachram H; Chereda H; Beißbarth T; Wingender E; Stegmaier P
    PLoS One; 2021; 16(10):e0258623. PubMed ID: 34653224
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.