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 *

138 related articles for article (PubMed ID: 37980358)

  • 1. Explainable deep learning for tumor dynamic modeling and overall survival prediction using Neural-ODE.
    Laurie M; Lu J
    NPJ Syst Biol Appl; 2023 Nov; 9(1):58. PubMed ID: 37980358
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery.
    Kim S; Lu PY; Mukherjee S; Gilbert M; Jing L; Ceperic V; Soljacic M
    IEEE Trans Neural Netw Learn Syst; 2021 Sep; 32(9):4166-4177. PubMed ID: 32857704
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Posterior estimation using deep learning: a simulation study of compartmental modeling in dynamic positron emission tomography.
    Liu X; Marin T; Amal T; Woo J; Fakhri GE; Ouyang J
    Med Phys; 2023 Mar; 50(3):1539-1548. PubMed ID: 36331429
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A deep learning based dual encoder-decoder framework for anatomical structure segmentation in chest X-ray images.
    Ullah I; Ali F; Shah B; El-Sappagh S; Abuhmed T; Park SH
    Sci Rep; 2023 Jan; 13(1):791. PubMed ID: 36646735
    [TBL] [Abstract][Full Text] [Related]  

  • 5. GFINNs: GENERIC formalism informed neural networks for deterministic and stochastic dynamical systems.
    Zhang Z; Shin Y; Em Karniadakis G
    Philos Trans A Math Phys Eng Sci; 2022 Aug; 380(2229):20210207. PubMed ID: 35719066
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Attention guided neural ODE network for breast tumor segmentation in medical images.
    Ru J; Lu B; Chen B; Shi J; Chen G; Wang M; Pan Z; Lin Y; Gao Z; Zhou J; Liu X; Zhang C
    Comput Biol Med; 2023 Jun; 159():106884. PubMed ID: 37071938
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network.
    Doborjeh M; Doborjeh Z; Kasabov N; Barati M; Wang GY
    Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300640
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A neural ordinary differential equation model for visualizing deep neural network behaviors in multi-parametric MRI-based glioma segmentation.
    Yang Z; Hu Z; Ji H; Lafata K; Vaios E; Floyd S; Yin FF; Wang C
    Med Phys; 2023 Aug; 50(8):4825-4838. PubMed ID: 36840621
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning for the dynamic prediction of multivariate longitudinal and survival data.
    Lin J; Luo S
    Stat Med; 2022 Jul; 41(15):2894-2907. PubMed ID: 35347750
    [TBL] [Abstract][Full Text] [Related]  

  • 11. FDRN: A fast deformable registration network for medical images.
    Sun K; Simon S
    Med Phys; 2021 Oct; 48(10):6453-6463. PubMed ID: 34053089
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep GONet: self-explainable deep neural network based on Gene Ontology for phenotype prediction from gene expression data.
    Bourgeais V; Zehraoui F; Ben Hamdoune M; Hanczar B
    BMC Bioinformatics; 2021 Sep; 22(Suppl 10):455. PubMed ID: 34551707
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning of Biological Models from Data: Applications to ODE Models.
    Su WH; Chou CS; Xiu D
    Bull Math Biol; 2021 Jan; 83(3):19. PubMed ID: 33452931
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cascaded deep convolutional encoder-decoder neural networks for efficient liver tumor segmentation.
    Budak Ü; Guo Y; Tanyildizi E; Şengür A
    Med Hypotheses; 2020 Jan; 134():109431. PubMed ID: 31669758
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Leveraging auxiliary measures: a deep multi-task neural network for predictive modeling in clinical research.
    Li X; Zhu D; Levy P
    BMC Med Inform Decis Mak; 2018 Dec; 18(Suppl 4):126. PubMed ID: 30537954
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
    Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
    J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Computing personalized brain functional networks from fMRI using self-supervised deep learning.
    Li H; Srinivasan D; Zhuo C; Cui Z; Gur RE; Gur RC; Oathes DJ; Davatzikos C; Satterthwaite TD; Fan Y
    Med Image Anal; 2023 Apr; 85():102756. PubMed ID: 36706636
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Training of deep neural networks for the generation of dynamic movement primitives.
    Pahič R; Ridge B; Gams A; Morimoto J; Ude A
    Neural Netw; 2020 Jul; 127():121-131. PubMed ID: 32339807
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder.
    Qiang N; Dong Q; Liang H; Ge B; Zhang S; Sun Y; Zhang C; Zhang W; Gao J; Liu T
    J Neural Eng; 2021 Jul; 18(4):. PubMed ID: 34229310
    [No Abstract]   [Full Text] [Related]  

  • 20. Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome.
    Le V; Quinn TP; Tran T; Venkatesh S
    BMC Genomics; 2020 Jul; 21(Suppl 4):256. PubMed ID: 32689932
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.