240 related articles for article (PubMed ID: 36208537)
1. 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]
2. 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]
3. 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]
4. 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]
5. A new architecture combining convolutional and transformer-based networks for automatic 3D multi-organ segmentation on CT images.
Li C; Bagher-Ebadian H; Sultan R; Elshaikh M; Movsas B; Zhu D; Chetty IJ
Med Phys; 2023 Nov; 50(11):6990-7002. PubMed ID: 37738468
[TBL] [Abstract][Full Text] [Related]
6. Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection.
Hashemi SR; Salehi SSM; Erdogmus D; Prabhu SP; Warfield SK; Gholipour A
IEEE Access; 2019; 7():721-1735. PubMed ID: 31528523
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. A multiple-channel and atrous convolution network for ultrasound image segmentation.
Zhang L; Zhang J; Li Z; Song Y
Med Phys; 2020 Dec; 47(12):6270-6285. PubMed ID: 33007105
[TBL] [Abstract][Full Text] [Related]
10. ABCNet: A new efficient 3D dense-structure network for segmentation and analysis of body tissue composition on body-torso-wide CT images.
Liu T; Pan J; Torigian DA; Xu P; Miao Q; Tong Y; Udupa JK
Med Phys; 2020 Jul; 47(7):2986-2999. PubMed ID: 32170754
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Brain stroke classification and segmentation using encoder-decoder based deep convolutional neural networks.
Yalçın S; Vural H
Comput Biol Med; 2022 Oct; 149():105941. PubMed ID: 36055156
[TBL] [Abstract][Full Text] [Related]
13. 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]
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. Convolutional neural network-based pelvic floor structure segmentation using magnetic resonance imaging in pelvic organ prolapse.
Feng F; Ashton-Miller JA; DeLancey JOL; Luo J
Med Phys; 2020 Sep; 47(9):4281-4293. PubMed ID: 32638370
[TBL] [Abstract][Full Text] [Related]
16. Learning fuzzy clustering for SPECT/CT segmentation via convolutional neural networks.
Chen J; Li Y; Luna LP; Chung HW; Rowe SP; Du Y; Solnes LB; Frey EC
Med Phys; 2021 Jul; 48(7):3860-3877. PubMed ID: 33905560
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. UCATR: Based on CNN and Transformer Encoding and Cross-Attention Decoding for Lesion Segmentation of Acute Ischemic Stroke in Non-contrast Computed Tomography Images.
Luo C; Zhang J; Chen X; Tang Y; Weng X; Xu F
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3565-3568. PubMed ID: 34892009
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
