119 related articles for article (PubMed ID: 38508056)
1. Multi-residual 2D network integrating spatial correlation for whole heart segmentation.
Huang Y; Yang J; Sun Q; Yuan Y; Li H; Hou Y
Comput Biol Med; 2024 Apr; 172():108261. PubMed ID: 38508056
[TBL] [Abstract][Full Text] [Related]
2. Mutual enhancing learning-based automatic segmentation of CT cardiac substructure.
Momin S; Lei Y; McCall NS; Zhang J; Roper J; Harms J; Tian S; Lloyd MS; Liu T; Bradley JD; Higgins K; Yang X
Phys Med Biol; 2022 May; 67(10):. PubMed ID: 35447610
[No Abstract] [Full Text] [Related]
3. 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]
4. MMTLNet: Multi-Modality Transfer Learning Network with adversarial training for 3D whole heart segmentation.
Liao X; Qian Y; Chen Y; Xiong X; Wang Q; Heng PA
Comput Med Imaging Graph; 2020 Oct; 85():101785. PubMed ID: 32898732
[TBL] [Abstract][Full Text] [Related]
5. Male pelvic multi-organ segmentation using token-based transformer Vnet.
Pan S; Lei Y; Wang T; Wynne J; Chang CW; Roper J; Jani AB; Patel P; Bradley JD; Liu T; Yang X
Phys Med Biol; 2022 Oct; 67(20):. PubMed ID: 36170872
[No Abstract] [Full Text] [Related]
6. Two-stage segmentation network with feature aggregation and multi-level attention mechanism for multi-modality heart images.
Song Y; Du X; Zhang Y; Li S
Comput Med Imaging Graph; 2022 Apr; 97():102054. PubMed ID: 35339724
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Zhuang X; Li L; Payer C; Štern D; Urschler M; Heinrich MP; Oster J; Wang C; Smedby Ö; Bian C; Yang X; Heng PA; Mortazi A; Bagci U; Yang G; Sun C; Galisot G; Ramel JY; Brouard T; Tong Q; Si W; Liao X; Zeng G; Shi Z; Zheng G; Wang C; MacGillivray T; Newby D; Rhode K; Ourselin S; Mohiaddin R; Keegan J; Firmin D; Yang G
Med Image Anal; 2019 Dec; 58():101537. PubMed ID: 31446280
[TBL] [Abstract][Full Text] [Related]
9. LMISA: A lightweight multi-modality image segmentation network via domain adaptation using gradient magnitude and shape constraint.
Jafari M; Francis S; Garibaldi JM; Chen X
Med Image Anal; 2022 Oct; 81():102536. PubMed ID: 35870297
[TBL] [Abstract][Full Text] [Related]
10. A method of rapid quantification of patient-specific organ doses for CT using deep-learning-based multi-organ segmentation and GPU-accelerated Monte Carlo dose computing.
Peng Z; Fang X; Yan P; Shan H; Liu T; Pei X; Wang G; Liu B; Kalra MK; Xu XG
Med Phys; 2020 Jun; 47(6):2526-2536. PubMed ID: 32155670
[TBL] [Abstract][Full Text] [Related]
11. Attention Connect Network for Liver Tumor Segmentation from CT and MRI Images.
Shao J; Luan S; Ding Y; Xue X; Zhu B; Wei W
Technol Cancer Res Treat; 2024; 23():15330338231219366. PubMed ID: 38179668
[No Abstract] [Full Text] [Related]
12. RA-SIFA: Unsupervised domain adaptation multi-modality cardiac segmentation network combining parallel attention module and residual attention unit.
Yang T; Cui X; Bai X; Li L; Gong Y
J Xray Sci Technol; 2021; 29(6):1065-1078. PubMed ID: 34719432
[TBL] [Abstract][Full Text] [Related]
13. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images.
Ma Z; Wu X; Wang X; Song Q; Yin Y; Cao K; Wang Y; Zhou J
Med Phys; 2019 Dec; 46(12):5652-5665. PubMed ID: 31605627
[TBL] [Abstract][Full Text] [Related]
14. Sequential vessel segmentation via deep channel attention network.
Hao D; Ding S; Qiu L; Lv Y; Fei B; Zhu Y; Qin B
Neural Netw; 2020 Aug; 128():172-187. PubMed ID: 32447262
[TBL] [Abstract][Full Text] [Related]
15. MCAFNet: multiscale cross-layer attention fusion network for honeycomb lung lesion segmentation.
Li G; Xie J; Zhang L; Sun M; Li Z; Sun Y
Med Biol Eng Comput; 2024 Apr; 62(4):1121-1137. PubMed ID: 38150110
[TBL] [Abstract][Full Text] [Related]
16. Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation.
Cui H; Yuwen C; Jiang L; Xia Y; Zhang Y
Comput Biol Med; 2021 Sep; 136():104726. PubMed ID: 34371318
[TBL] [Abstract][Full Text] [Related]
17. Dual encoder network with transformer-CNN for multi-organ segmentation.
Hong Z; Chen M; Hu W; Yan S; Qu A; Chen L; Chen J
Med Biol Eng Comput; 2023 Mar; 61(3):661-671. PubMed ID: 36580181
[TBL] [Abstract][Full Text] [Related]
18. MSMHSA-DeepLab V3+: An Effective Multi-Scale, Multi-Head Self-Attention Network for Dual-Modality Cardiac Medical Image Segmentation.
Chen B; Li Y; Liu J; Yang F; Zhang L
J Imaging; 2024 Jun; 10(6):. PubMed ID: 38921612
[TBL] [Abstract][Full Text] [Related]
19. Transformer-based 3D U-Net for pulmonary vessel segmentation and artery-vein separation from CT images.
Wu Y; Qi S; Wang M; Zhao S; Pang H; Xu J; Bai L; Ren H
Med Biol Eng Comput; 2023 Oct; 61(10):2649-2663. PubMed ID: 37420036
[TBL] [Abstract][Full Text] [Related]
20. An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation.
Cui H; Wang Y; Li Y; Xu D; Jiang L; Xia Y; Zhang Y
IEEE J Biomed Health Inform; 2023 Jul; 27(7):3408-3419. PubMed ID: 37040240
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
