153 related articles for article (PubMed ID: 38565036)
1. Deep local-to-global feature learning for medical image super-resolution.
Huang W; Liao X; Chen H; Hu Y; Jia W; Wang Q
Comput Med Imaging Graph; 2024 Jul; 115():102374. PubMed ID: 38565036
[TBL] [Abstract][Full Text] [Related]
2. Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning.
Qiu D; Zhang S; Liu Y; Zhu J; Zheng L
Comput Methods Programs Biomed; 2020 Apr; 187():105059. PubMed ID: 31582263
[TBL] [Abstract][Full Text] [Related]
3. Texture transformer super-resolution for low-dose computed tomography.
Zhou S; Yu L; Jin M
Biomed Phys Eng Express; 2022 Nov; 8(6):. PubMed ID: 36301699
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Deep learning in computed tomography super resolution using multi-modality data training.
Fok WYR; Fieselmann A; Herbst M; Ritschl L; Kappler S; Saalfeld S
Med Phys; 2024 Apr; 51(4):2846-2860. PubMed ID: 37972365
[TBL] [Abstract][Full Text] [Related]
7. A Transformer-Based Model for Super-Resolution of Anime Image.
Xu S; Dutta V; He X; Matsumaru T
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365830
[TBL] [Abstract][Full Text] [Related]
8. MRI super-resolution using similarity distance and multi-scale receptive field based feature fusion GAN and pre-trained slice interpolation network.
U N; P M A
Magn Reson Imaging; 2024 Jul; 110():195-209. PubMed ID: 38653336
[TBL] [Abstract][Full Text] [Related]
9. HCformer: Hybrid CNN-Transformer for LDCT Image Denoising.
Yuan J; Zhou F; Guo Z; Li X; Yu H
J Digit Imaging; 2023 Oct; 36(5):2290-2305. PubMed ID: 37386333
[TBL] [Abstract][Full Text] [Related]
10. ETU-Net: edge enhancement-guided U-Net with transformer for skin lesion segmentation.
Chen L; Li J; Zou Y; Wang T
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38131313
[No Abstract] [Full Text] [Related]
11. MS-TCNet: An effective Transformer-CNN combined network using multi-scale feature learning for 3D medical image segmentation.
Ao Y; Shi W; Ji B; Miao Y; He W; Jiang Z
Comput Biol Med; 2024 Mar; 170():108057. PubMed ID: 38301516
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Dual-space high-frequency learning for transformer-based MRI super-resolution.
Lin H; Zou J; Wang K; Feng Y; Xu C; Lyu J; Qin J
Comput Methods Programs Biomed; 2024 Jun; 250():108165. PubMed ID: 38631131
[TBL] [Abstract][Full Text] [Related]
14. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
[TBL] [Abstract][Full Text] [Related]
15. SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.
Zheng T; Oda H; Hayashi Y; Nakamura S; Mori M; Takabatake H; Natori H; Oda M; Mori K
Int J Comput Assist Radiol Surg; 2024 Mar; 19(3):493-506. PubMed ID: 38129364
[TBL] [Abstract][Full Text] [Related]
16. GC-Net: Global context network for medical image segmentation.
Ni J; Wu J; Tong J; Chen Z; Zhao J
Comput Methods Programs Biomed; 2020 Jul; 190():105121. PubMed ID: 31623863
[TBL] [Abstract][Full Text] [Related]
17. [Medical image super-resolution reconstruction via multi-scale information distillation network under multi-scale geometric transform domain].
Wang H; Sun T
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Oct; 39(5):887-896. PubMed ID: 36310477
[TBL] [Abstract][Full Text] [Related]
18. PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation.
Chen D; Yang W; Wang L; Tan S; Lin J; Bu W
PLoS One; 2022; 17(1):e0262689. PubMed ID: 35073371
[TBL] [Abstract][Full Text] [Related]
19. Image Super-Resolution Reconstruction Method for Lung Cancer CT-Scanned Images Based on Neural Network.
Xu J; Liu W; Qin Y; Xu G
Biomed Res Int; 2022; 2022():3543531. PubMed ID: 35898680
[TBL] [Abstract][Full Text] [Related]
20. Degradation Adaption Local-to-Global Transformer for Low-Dose CT Image Denoising.
Wang H; Chi J; Wu C; Yu X; Wu H
J Digit Imaging; 2023 Aug; 36(4):1894-1909. PubMed ID: 37118101
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]