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.
1307 related articles for article (PubMed ID: 37738468)
1. 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]
2. 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]
3. Lung tumor segmentation in 4D CT images using motion convolutional neural networks. Momin S; Lei Y; Tian Z; Wang T; Roper J; Kesarwala AH; Higgins K; Bradley JD; Liu T; Yang X Med Phys; 2021 Nov; 48(11):7141-7153. PubMed ID: 34469001 [TBL] [Abstract][Full Text] [Related]
4. ARPM-net: A novel CNN-based adversarial method with Markov random field enhancement for prostate and organs at risk segmentation in pelvic CT images. Zhang Z; Zhao T; Gay H; Zhang W; Sun B Med Phys; 2021 Jan; 48(1):227-237. PubMed ID: 33151620 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. Cross-convolutional transformer for automated multi-organs segmentation in a variety of medical images. Wang J; Zhao H; Liang W; Wang S; Zhang Y Phys Med Biol; 2023 Jan; 68(3):. PubMed ID: 36623323 [No Abstract] [Full Text] [Related]
7. 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]
8. TSCA-Net: Transformer based spatial-channel attention segmentation network for medical images. Fu Y; Liu J; Shi J Comput Biol Med; 2024 Mar; 170():107938. PubMed ID: 38219644 [TBL] [Abstract][Full Text] [Related]
9. Hepatic and portal vein segmentation with dual-stream deep neural network. Xu J; Jiang W; Wu J; Zhang W; Zhu Z; Xin J; Zheng N; Wang B Med Phys; 2024 Aug; 51(8):5441-5456. PubMed ID: 38648676 [TBL] [Abstract][Full Text] [Related]
10. Abdomen CT multi-organ segmentation using token-based MLP-Mixer. Pan S; Chang CW; Wang T; Wynne J; Hu M; Lei Y; Liu T; Patel P; Roper J; Yang X Med Phys; 2023 May; 50(5):3027-3038. PubMed ID: 36463516 [TBL] [Abstract][Full Text] [Related]
11. SwinCross: Cross-modal Swin transformer for head-and-neck tumor segmentation in PET/CT images. Li GY; Chen J; Jang SI; Gong K; Li Q Med Phys; 2024 Mar; 51(3):2096-2107. PubMed ID: 37776263 [TBL] [Abstract][Full Text] [Related]
12. MESTrans: Multi-scale embedding spatial transformer for medical image segmentation. Liu Y; Zhu Y; Xin Y; Zhang Y; Yang D; Xu T Comput Methods Programs Biomed; 2023 May; 233():107493. PubMed ID: 36965298 [TBL] [Abstract][Full Text] [Related]
13. Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution. Cai Y; Long Y; Han Z; Liu M; Zheng Y; Yang W; Chen L BMC Med Inform Decis Mak; 2023 Feb; 23(1):33. PubMed ID: 36788560 [TBL] [Abstract][Full Text] [Related]
14. BiFTransNet: A unified and simultaneous segmentation network for gastrointestinal images of CT & MRI. Jiang X; Ding Y; Liu M; Wang Y; Li Y; Wu Z Comput Biol Med; 2023 Oct; 165():107326. PubMed ID: 37619324 [TBL] [Abstract][Full Text] [Related]
15. Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks. Tong N; Gou S; Yang S; Ruan D; Sheng K Med Phys; 2018 Oct; 45(10):4558-4567. PubMed ID: 30136285 [TBL] [Abstract][Full Text] [Related]
16. STEDNet: Swin transformer-based encoder-decoder network for noise reduction in low-dose CT. Zhu L; Han Y; Xi X; Fu H; Tan S; Liu M; Yang S; Liu C; Li L; Yan B Med Phys; 2023 Jul; 50(7):4443-4458. PubMed ID: 36708286 [TBL] [Abstract][Full Text] [Related]
17. Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques. Zhu J; Zhang J; Qiu B; Liu Y; Liu X; Chen L Acta Oncol; 2019 Feb; 58(2):257-264. PubMed ID: 30398090 [TBL] [Abstract][Full Text] [Related]
18. 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]
19. A deep learning-based framework (Co-ReTr) for auto-segmentation of non-small cell-lung cancer in computed tomography images. Kunkyab T; Bahrami Z; Zhang H; Liu Z; Hyde D J Appl Clin Med Phys; 2024 Mar; 25(3):e14297. PubMed ID: 38373289 [TBL] [Abstract][Full Text] [Related]
20. Male pelvic multi-organ segmentation on transrectal ultrasound using anchor-free mask CNN. Lei Y; Wang T; Roper J; Jani AB; Patel SA; Curran WJ; Patel P; Liu T; Yang X Med Phys; 2021 Jun; 48(6):3055-3064. PubMed ID: 33894057 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]