BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

234 related articles for article (PubMed ID: 32417618)

  • 1. CSNet: A new DeepNet framework for ischemic stroke lesion segmentation.
    Kumar A; Upadhyay N; Ghosal P; Chowdhury T; Das D; Mukherjee A; Nandi D
    Comput Methods Programs Biomed; 2020 Sep; 193():105524. PubMed ID: 32417618
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images.
    Kumar A; Ghosal P; Kundu SS; Mukherjee A; Nandi D
    Comput Methods Programs Biomed; 2022 Nov; 226():107157. PubMed ID: 36208537
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Acute and sub-acute stroke lesion segmentation from multimodal MRI.
    Clèrigues A; Valverde S; Bernal J; Freixenet J; Oliver A; Lladó X
    Comput Methods Programs Biomed; 2020 Oct; 194():105521. PubMed ID: 32434099
    [TBL] [Abstract][Full Text] [Related]  

  • 4. DENSE-INception U-net for medical image segmentation.
    Zhang Z; Wu C; Coleman S; Kerr D
    Comput Methods Programs Biomed; 2020 Aug; 192():105395. PubMed ID: 32163817
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image.
    Soleimani P; Farezi N
    Sci Rep; 2023 Nov; 13(1):19808. PubMed ID: 37957203
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic ischemic stroke lesion segmentation from computed tomography perfusion images by image synthesis and attention-based deep neural networks.
    Wang G; Song T; Dong Q; Cui M; Huang N; Zhang S
    Med Image Anal; 2020 Oct; 65():101787. PubMed ID: 32712524
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improvement of automatic ischemic stroke lesion segmentation in CT perfusion maps using a learned deep neural network.
    Soltanpour M; Greiner R; Boulanger P; Buck B
    Comput Biol Med; 2021 Oct; 137():104849. PubMed ID: 34530336
    [TBL] [Abstract][Full Text] [Related]  

  • 8. C
    Shi T; Jiang H; Zheng B
    IEEE Trans Biomed Eng; 2022 Jan; 69(1):108-118. PubMed ID: 34101581
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Precise segmentation of non-enhanced computed tomography in patients with ischemic stroke based on multi-scale U-Net deep network model.
    Li S; Zheng J; Li D
    Comput Methods Programs Biomed; 2021 Sep; 208():106278. PubMed ID: 34274610
    [TBL] [Abstract][Full Text] [Related]  

  • 10. RU-Net: skull stripping in rat brain MR images after ischemic stroke with rat U-Net.
    Chang HH; Yeh SJ; Chiang MC; Hsieh ST
    BMC Med Imaging; 2023 Mar; 23(1):44. PubMed ID: 36973775
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ischemic stroke lesion segmentation using stacked sparse autoencoder.
    Praveen GB; Agrawal A; Sundaram P; Sardesai S
    Comput Biol Med; 2018 Aug; 99():38-52. PubMed ID: 29883752
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.
    Clèrigues A; Valverde S; Bernal J; Freixenet J; Oliver A; Lladó X
    Comput Biol Med; 2019 Dec; 115():103487. PubMed ID: 31629272
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease.
    Liu L; Kurgan L; Wu FX; Wang J
    Med Image Anal; 2020 Oct; 65():101791. PubMed ID: 32712525
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CNN-Res: deep learning framework for segmentation of acute ischemic stroke lesions on multimodal MRI images.
    Gheibi Y; Shirini K; Razavi SN; Farhoudi M; Samad-Soltani T
    BMC Med Inform Decis Mak; 2023 Sep; 23(1):192. PubMed ID: 37752508
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semantic segmentation guided detector for segmentation, classification, and lesion mapping of acute ischemic stroke in MRI images.
    Wei YC; Huang WY; Jian CY; Hsu CH; Hsu CC; Lin CP; Cheng CT; Chen YL; Wei HY; Chen KF
    Neuroimage Clin; 2022; 35():103044. PubMed ID: 35597030
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Detection, segmentation, and 3D pose estimation of surgical tools using convolutional neural networks and algebraic geometry.
    Hasan MK; Calvet L; Rabbani N; Bartoli A
    Med Image Anal; 2021 May; 70():101994. PubMed ID: 33611053
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Delineation of Ischemic Core and Penumbra Volumes from MRI using MSNet Architecture.
    Gupta A; Vupputuri A; Ghosh N
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6730-6733. PubMed ID: 31947385
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ischemic Lesion Segmentation using Ensemble of Multi-Scale Region Aligned CNN.
    Karthik R; Menaka R; Hariharan M; Won D
    Comput Methods Programs Biomed; 2021 Mar; 200():105831. PubMed ID: 33223277
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network.
    Tomita N; Jiang S; Maeder ME; Hassanpour S
    Neuroimage Clin; 2020; 27():102276. PubMed ID: 32512401
    [TBL] [Abstract][Full Text] [Related]  

  • 20. RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.
    Chen G; Li Q; Shi F; Rekik I; Pan Z
    Neuroimage; 2020 May; 211():116620. PubMed ID: 32057997
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.