458 related articles for article (PubMed ID: 32712524)
1. 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]
2. 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]
3. 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]
4. Segmentation of acute stroke infarct core using image-level labels on CT-angiography.
Giancardo L; Niktabe A; Ocasio L; Abdelkhaleq R; Salazar-Marioni S; Sheth SA
Neuroimage Clin; 2023; 37():103362. PubMed ID: 36893661
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.
Zhu H; Tong D; Zhang L; Wang S; Wu W; Tang H; Chen Y; Luo L; Zhu J; Li B
Int J Comput Assist Radiol Surg; 2020 Feb; 15(2):193-201. PubMed ID: 31673961
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of Diffusion Lesion Volume Measurements in Acute Ischemic Stroke Using Encoder-Decoder Convolutional Network.
Kim YC; Lee JE; Yu I; Song HN; Baek IY; Seong JK; Jeong HG; Kim BJ; Nam HS; Chung JW; Bang OY; Kim GM; Seo WK
Stroke; 2019 Jun; 50(6):1444-1451. PubMed ID: 31092169
[TBL] [Abstract][Full Text] [Related]
8. Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks.
Amador K; Wilms M; Winder A; Fiehler J; Forkert ND
Med Image Anal; 2022 Nov; 82():102610. PubMed ID: 36103772
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Deep symmetric three-dimensional convolutional neural networks for identifying acute ischemic stroke via diffusion-weighted images.
Cui L; Han S; Qi S; Duan Y; Kang Y; Luo Y
J Xray Sci Technol; 2021; 29(4):551-566. PubMed ID: 33967077
[TBL] [Abstract][Full Text] [Related]
12. An automatic machine learning approach for ischemic stroke onset time identification based on DWI and FLAIR imaging.
Zhu H; Jiang L; Zhang H; Luo L; Chen Y; Chen Y
Neuroimage Clin; 2021; 31():102744. PubMed ID: 34245995
[TBL] [Abstract][Full Text] [Related]
13. Ensemble of Convolutional Neural Networks Improves Automated Segmentation of Acute Ischemic Lesions Using Multiparametric Diffusion-Weighted MRI.
Winzeck S; Mocking SJT; Bezerra R; Bouts MJRJ; McIntosh EC; Diwan I; Garg P; Chutinet A; Kimberly WT; Copen WA; Schaefer PW; Ay H; Singhal AB; Kamnitsas K; Glocker B; Sorensen AG; Wu O
AJNR Am J Neuroradiol; 2019 Jun; 40(6):938-945. PubMed ID: 31147354
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks.
Chen L; Bentley P; Rueckert D
Neuroimage Clin; 2017; 15():633-643. PubMed ID: 28664034
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Comparison of perfusion computed tomography and computed tomography angiography source images with perfusion-weighted imaging and diffusion-weighted imaging in patients with acute stroke of less than 6 hours' duration.
Schramm P; Schellinger PD; Klotz E; Kallenberg K; Fiebach JB; Külkens S; Heiland S; Knauth M; Sartor K
Stroke; 2004 Jul; 35(7):1652-8. PubMed ID: 15155964
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Predicting Infarct Core From Computed Tomography Perfusion in Acute Ischemia With Machine Learning: Lessons From the ISLES Challenge.
Hakim A; Christensen S; Winzeck S; Lansberg MG; Parsons MW; Lucas C; Robben D; Wiest R; Reyes M; Zaharchuk G
Stroke; 2021 Jul; 52(7):2328-2337. PubMed ID: 33957774
[TBL] [Abstract][Full Text] [Related]
20. Automatic assessment of DWI-ASPECTS for acute ischemic stroke based on deep learning.
Fang T; Jiang Z; Zhou Y; Jia S; Zhao J; Nie S
Med Phys; 2024 Jun; 51(6):4351-4364. PubMed ID: 38687043
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
