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.
164 related articles for article (PubMed ID: 38928633)
1. Segmentation and Multi-Timepoint Tracking of 3D Cancer Organoids from Optical Coherence Tomography Images Using Deep Neural Networks. Branciforti F; Salvi M; D'Agostino F; Marzola F; Cornacchia S; De Titta MO; Mastronuzzi G; Meloni I; Moschetta M; Porciani N; Sciscenti F; Spertini A; Spilla A; Zagaria I; Deloria AJ; Deng S; Haindl R; Szakacs G; Csiszar A; Liu M; Drexler W; Molinari F; Meiburger KM Diagnostics (Basel); 2024 Jun; 14(12):. PubMed ID: 38928633 [TBL] [Abstract][Full Text] [Related]
2. Automated detection and growth tracking of 3D bio-printed organoid clusters using optical coherence tomography with deep convolutional neural networks. Bao D; Wang L; Zhou X; Yang S; He K; Xu M Front Bioeng Biotechnol; 2023; 11():1133090. PubMed ID: 37122853 [TBL] [Abstract][Full Text] [Related]
3. Volumetric growth tracking of patient-derived cancer organoids using optical coherence tomography. Gil DA; Deming DA; Skala MC Biomed Opt Express; 2021 Jul; 12(7):3789-3805. PubMed ID: 34457380 [TBL] [Abstract][Full Text] [Related]
4. Deep learning based characterization of human organoids using optical coherence tomography. Wang B; Ganjee R; Khandaker I; Flohr K; He Y; Li G; Wesalo J; Sahel JA; da Silva S; Pi S Biomed Opt Express; 2024 May; 15(5):3112-3127. PubMed ID: 38855657 [TBL] [Abstract][Full Text] [Related]
5. A deep learning model for detection and tracking in high-throughput images of organoid. Bian X; Li G; Wang C; Liu W; Lin X; Chen Z; Cheung M; Luo X Comput Biol Med; 2021 Jul; 134():104490. PubMed ID: 34102401 [TBL] [Abstract][Full Text] [Related]
6. Quantifying the drug response of patient-derived organoid clusters by aggregated morphological indicators with multi-parameters based on optical coherence tomography. Zhang L; Wang L; Yang S; He K; Bao D; Xu M Biomed Opt Express; 2023 Apr; 14(4):1703-1717. PubMed ID: 37078050 [TBL] [Abstract][Full Text] [Related]
7. High-throughput deconvolution of 3D organoid dynamics at cellular resolution for cancer pharmacology with Cellos. Mukashyaka P; Kumar P; Mellert DJ; Nicholas S; Noorbakhsh J; Brugiolo M; Courtois ET; Anczukow O; Liu ET; Chuang JH Nat Commun; 2023 Dec; 14(1):8406. PubMed ID: 38114489 [TBL] [Abstract][Full Text] [Related]
8. Mukashyaka P; Kumar P; Mellert DJ; Nicholas S; Noorbakhsh J; Brugiolo M; Anczukow O; Liu ET; Chuang JH bioRxiv; 2023 Mar; ():. PubMed ID: 36945601 [TBL] [Abstract][Full Text] [Related]
9. Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network. Lu D; Heisler M; Lee S; Ding GW; Navajas E; Sarunic MV; Beg MF Med Image Anal; 2019 May; 54():100-110. PubMed ID: 30856455 [TBL] [Abstract][Full Text] [Related]
10. OrBITS: label-free and time-lapse monitoring of patient derived organoids for advanced drug screening. Deben C; De La Hoz EC; Compte ML; Van Schil P; Hendriks JMH; Lauwers P; Yogeswaran SK; Lardon F; Pauwels P; Van Laere S; Bogaerts A; Smits E; Vanlanduit S; Lin A Cell Oncol (Dordr); 2023 Apr; 46(2):299-314. PubMed ID: 36508089 [TBL] [Abstract][Full Text] [Related]
11. 11.7T Diffusion Magnetic Resonance Imaging and Tractography to Probe Human Brain Organoid Microstructure. Versace A; Hitchens TK; Wallace CT; Watkins SC; D'Aiuto L Biol Psychiatry Glob Open Sci; 2024 Sep; 4(5):100344. PubMed ID: 39099731 [TBL] [Abstract][Full Text] [Related]
12. Long-term three-dimensional high-resolution imaging of live unlabeled small intestinal organoids via low-coherence holotomography. Lee MJ; Lee J; Ha J; Kim G; Kim HJ; Lee S; Koo BK; Park Y Exp Mol Med; 2024 Oct; 56(10):2162-2170. PubMed ID: 39349827 [TBL] [Abstract][Full Text] [Related]
13. A novel deep learning segmentation model for organoid-based drug screening. Wang X; Wu C; Zhang S; Yu P; Li L; Guo C; Li R Front Pharmacol; 2022; 13():1080273. PubMed ID: 36588731 [TBL] [Abstract][Full Text] [Related]
14. Deep-learning approach for automated thickness measurement of epithelial tissue and scab using optical coherence tomography. Ji Y; Yang S; Zhou K; Rocliffe HR; Pellicoro A; Cash JL; Wang R; Li C; Huang Z J Biomed Opt; 2022 Jan; 27(1):. PubMed ID: 35043611 [TBL] [Abstract][Full Text] [Related]
15. Recent Advanced Deep Learning Architectures for Retinal Fluid Segmentation on Optical Coherence Tomography Images. Lin M; Bao G; Sang X; Wu Y Sensors (Basel); 2022 Apr; 22(8):. PubMed ID: 35459040 [TBL] [Abstract][Full Text] [Related]
16. Ultra-High-Resolution 3D Optical Coherence Tomography Reveals Inner Structures of Human Placenta-Derived Trophoblast Organoids. Deloria AJ; Haider S; Dietrich B; Kunihs V; Oberhofer S; Knofler M; Leitgeb R; Liu M; Drexler W; Haindl R IEEE Trans Biomed Eng; 2021 Aug; 68(8):2368-2376. PubMed ID: 33201804 [TBL] [Abstract][Full Text] [Related]
17. Segmentation of paracentral acute middle maculopathy lesions in spectral-domain optical coherence tomography images through weakly supervised deep convolutional networks. Zhang T; Wei Q; Li Z; Meng W; Zhang M; Zhang Z Comput Methods Programs Biomed; 2023 Oct; 240():107632. PubMed ID: 37329802 [TBL] [Abstract][Full Text] [Related]
18. Deep Learning Model for Predicting Airway Organoid Differentiation. Lim MH; Shin S; Park K; Park J; Kim SW; Basurrah MA; Lee S; Kim DH Tissue Eng Regen Med; 2023 Dec; 20(7):1109-1117. PubMed ID: 37594633 [TBL] [Abstract][Full Text] [Related]
19. Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images. Lee J; Kim JN; Dallan LAP; Zimin VN; Hoori A; Hassani NS; Makhlouf MHE; Guagliumi G; Bezerra HG; Wilson DL Sci Rep; 2024 Feb; 14(1):4393. PubMed ID: 38388637 [TBL] [Abstract][Full Text] [Related]
20. Perspective: Extending the Utility of Three-Dimensional Organoids by Tissue Clearing Technologies. Susaki EA; Takasato M Front Cell Dev Biol; 2021; 9():679226. PubMed ID: 34195197 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]