127 related articles for article (PubMed ID: 38649743)
1. Simplifying deep learning to enhance accessibility of large-scale 3D brain imaging analysis.
Nat Methods; 2024 Apr; ():. PubMed ID: 38649743
[No Abstract] [Full Text] [Related]
2. Pushing the limits of low-cost ultra-low-field MRI by dual-acquisition deep learning 3D superresolution.
Lau V; Xiao L; Zhao Y; Su S; Ding Y; Man C; Wang X; Tsang A; Cao P; Lau GKK; Leung GKK; Leong ATL; Wu EX
Magn Reson Med; 2023 Aug; 90(2):400-416. PubMed ID: 37010491
[TBL] [Abstract][Full Text] [Related]
3. High-resolution 3D MR Fingerprinting using parallel imaging and deep learning.
Chen Y; Fang Z; Hung SC; Chang WT; Shen D; Lin W
Neuroimage; 2020 Feb; 206():116329. PubMed ID: 31689536
[TBL] [Abstract][Full Text] [Related]
4. High-throughput widefield fluorescence imaging of 3D samples using deep learning for 2D projection image restoration.
Forsgren E; Edlund C; Oliver M; Barnes K; Sjögren R; Jackson TR
PLoS One; 2022; 17(5):e0264241. PubMed ID: 35588399
[TBL] [Abstract][Full Text] [Related]
5. A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction.
Shen L; Zhao W; Capaldi D; Pauly J; Xing L
Comput Biol Med; 2022 Sep; 148():105710. PubMed ID: 35715260
[TBL] [Abstract][Full Text] [Related]
6. Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.
Bengs M; Behrendt F; Krüger J; Opfer R; Schlaefer A
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1413-1423. PubMed ID: 34251654
[TBL] [Abstract][Full Text] [Related]
7. Deep learning for 3D imaging and image analysis in biomineralization research.
Reznikov N; Buss DJ; Provencher B; McKee MD; Piché N
J Struct Biol; 2020 Oct; 212(1):107598. PubMed ID: 32783967
[TBL] [Abstract][Full Text] [Related]
8. An efficient memory reserving-and-fading strategy for vector quantization based 3D brain segmentation and tumor extraction using an unsupervised deep learning network.
De A; Wang X; Zhang Q; Wu J; Cong F
Cogn Neurodyn; 2023 Apr; 18(3):1-22. PubMed ID: 37362765
[TBL] [Abstract][Full Text] [Related]
9. Robust performance of deep learning for automatic detection and segmentation of brain metastases using three-dimensional black-blood and three-dimensional gradient echo imaging.
Park YW; Jun Y; Lee Y; Han K; An C; Ahn SS; Hwang D; Lee SK
Eur Radiol; 2021 Sep; 31(9):6686-6695. PubMed ID: 33738598
[TBL] [Abstract][Full Text] [Related]
10. Deep-learning super-resolution light-sheet add-on microscopy (Deep-SLAM) for easy isotropic volumetric imaging of large biological specimens.
Zhao F; Zhu L; Fang C; Yu T; Zhu D; Fei P
Biomed Opt Express; 2020 Dec; 11(12):7273-7285. PubMed ID: 33408995
[TBL] [Abstract][Full Text] [Related]
11. Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.
Jun Y; Eo T; Kim T; Shin H; Hwang D; Bae SH; Park YW; Lee HJ; Choi BW; Ahn SS
Sci Rep; 2018 Jun; 8(1):9450. PubMed ID: 29930257
[TBL] [Abstract][Full Text] [Related]
12. Deep learning enabled fast 3D brain MRI at 0.055 tesla.
Man C; Lau V; Su S; Zhao Y; Xiao L; Ding Y; Leung GKK; Leong ATL; Wu EX
Sci Adv; 2023 Sep; 9(38):eadi9327. PubMed ID: 37738341
[TBL] [Abstract][Full Text] [Related]
13. Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image.
Soleimani P; Farezi N
Sci Rep; 2023 Nov; 13(1):19808. PubMed ID: 37957203
[TBL] [Abstract][Full Text] [Related]
14. Interpreting deep learning models for glioma survival classification using visualization and textual explanations.
Osadebey M; Liu Q; Fuster-Garcia E; Emblem KE
BMC Med Inform Decis Mak; 2023 Oct; 23(1):225. PubMed ID: 37853371
[TBL] [Abstract][Full Text] [Related]
15. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
[TBL] [Abstract][Full Text] [Related]
16. Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain.
Wang X; Zeng W; Yang X; Zhang Y; Fang C; Zeng S; Han Y; Fei P
Elife; 2021 Jan; 10():. PubMed ID: 33459255
[TBL] [Abstract][Full Text] [Related]
17. Robust Detection, Segmentation, and Metrology of High Bandwidth Memory 3D Scans Using an Improved Semi-Supervised Deep Learning Approach.
Wang J; Chang R; Zhao Z; Pahwa RS
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420637
[TBL] [Abstract][Full Text] [Related]
18. Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking.
Bruch R; Keller F; Böhland M; Vitacolonna M; Klinger L; Rudolf R; Reischl M
PLoS One; 2023; 18(3):e0283828. PubMed ID: 37000778
[TBL] [Abstract][Full Text] [Related]
19. Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers.
Dratsch T; Siedek F; Zäske C; Sonnabend K; Rauen P; Terzis R; Hahnfeldt R; Maintz D; Persigehl T; Bratke G; Iuga A
Eur Radiol Exp; 2023 Oct; 7(1):66. PubMed ID: 37880546
[TBL] [Abstract][Full Text] [Related]
20. 3D Ultrasonic Brain Imaging with Deep Learning Based on Fully Convolutional Networks.
Ren J; Wang X; Liu C; Sun H; Tong J; Lin M; Li J; Liang L; Yin F; Xie M; Liu Y
Sensors (Basel); 2023 Oct; 23(19):. PubMed ID: 37837171
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]