123 related articles for article (PubMed ID: 37651642)
1. Deep learning-based ultra-fast identification of Raman spectra with low signal-to-noise ratio.
Liu K; Chen F; Shang L; Wang Y; Peng H; Liu B; Li B
J Biophotonics; 2024 Jan; 17(1):e202300270. PubMed ID: 37651642
[TBL] [Abstract][Full Text] [Related]
2. Laser tweezers Raman spectroscopy combined with deep learning to classify marine bacteria.
Liu B; Liu K; Wang N; Ta K; Liang P; Yin H; Li B
Talanta; 2022 Jul; 244():123383. PubMed ID: 35349842
[TBL] [Abstract][Full Text] [Related]
3. Convolution Network with Custom Loss Function for the Denoising of Low SNR Raman Spectra.
Barton S; Alakkari S; O'Dwyer K; Ward T; Hennelly B
Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300363
[TBL] [Abstract][Full Text] [Related]
4. Classification of pathogenic bacteria by Raman spectroscopy combined with variational auto-encoder and deep learning.
Liu B; Liu K; Sun J; Shang L; Yang Q; Chen X; Li B
J Biophotonics; 2023 Apr; 16(4):e202200270. PubMed ID: 36519533
[TBL] [Abstract][Full Text] [Related]
5. Recognition of big data mixed Raman spectra based on deep learning with smartphone as Raman analyzer.
Liang J; Mu T
Electrophoresis; 2020 Sep; 41(16-17):1413-1417. PubMed ID: 31811819
[TBL] [Abstract][Full Text] [Related]
6. Conditional Generative Adversarial Network for Spectral Recovery to Accelerate Single-Cell Raman Spectroscopic Analysis.
Ma X; Wang K; Chou KC; Li Q; Lu X
Anal Chem; 2022 Jan; 94(2):577-582. PubMed ID: 34978788
[TBL] [Abstract][Full Text] [Related]
7. Identification of Bacterial Pathogens at Genus and Species Levels through Combination of Raman Spectrometry and Deep-Learning Algorithms.
Wang L; Tang JW; Li F; Usman M; Wu CY; Liu QH; Kang HQ; Liu W; Gu B
Microbiol Spectr; 2022 Dec; 10(6):e0258022. PubMed ID: 36314973
[TBL] [Abstract][Full Text] [Related]
8. High-Throughput Molecular Imaging via Deep-Learning-Enabled Raman Spectroscopy.
Horgan CC; Jensen M; Nagelkerke A; St-Pierre JP; Vercauteren T; Stevens MM; Bergholt MS
Anal Chem; 2021 Dec; 93(48):15850-15860. PubMed ID: 34797972
[TBL] [Abstract][Full Text] [Related]
9. Pushing the Limits of Surface-Enhanced Raman Spectroscopy (SERS) with Deep Learning: Identification of Multiple Species with Closely Related Molecular Structures.
Lebrun A; Fortin H; Fontaine N; Fillion D; Barbier O; Boudreau D
Appl Spectrosc; 2022 May; 76(5):609-619. PubMed ID: 35081756
[TBL] [Abstract][Full Text] [Related]
10. Accurate identification of living Bacillus spores using laser tweezers Raman spectroscopy and deep learning.
Du F; He L; Lu X; Li YQ; Yuan Y
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Mar; 289():122216. PubMed ID: 36527970
[TBL] [Abstract][Full Text] [Related]
11. Electron energy loss spectroscopy database synthesis and automation of core-loss edge recognition by deep-learning neural networks.
Kong L; Ji Z; Xin HL
Sci Rep; 2022 Dec; 12(1):22183. PubMed ID: 36564412
[TBL] [Abstract][Full Text] [Related]
12. A deep learning model designed for Raman spectroscopy with a novel hyperparameter optimization method.
Sui A; Deng Y; Wang Y; Yu J
Spectrochim Acta A Mol Biomol Spectrosc; 2022 Nov; 280():121560. PubMed ID: 35772199
[TBL] [Abstract][Full Text] [Related]
13. Raman spectroscopy and FTIR spectroscopy fusion technology combined with deep learning: A novel cancer prediction method.
Leng H; Chen C; Chen C; Chen F; Du Z; Chen J; Yang B; Zuo E; Xiao M; Lv X; Liu P
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Jan; 285():121839. PubMed ID: 36191438
[TBL] [Abstract][Full Text] [Related]
14. Deep metric learning framework combined with Gramian angular difference field image generation for Raman spectra classification based on a handheld Raman spectrometer.
Cai Y; Yao Z; Cheng X; He Y; Li S; Pan J
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 303():123085. PubMed ID: 37454497
[TBL] [Abstract][Full Text] [Related]
15. Identifying the charge density and dielectric environment of graphene using Raman spectroscopy and deep learning.
Chen Z; Khaireddin Y; Swan AK
Analyst; 2022 May; 147(9):1824-1832. PubMed ID: 35380148
[TBL] [Abstract][Full Text] [Related]
16. Scale-Adaptive Deep Model for Bacterial Raman Spectra Identification.
Deng L; Zhong Y; Wang M; Zheng X; Zhang J
IEEE J Biomed Health Inform; 2022 Jan; 26(1):369-378. PubMed ID: 34543211
[TBL] [Abstract][Full Text] [Related]
17. Overfitting One-Dimensional convolutional neural networks for Raman spectra identification.
Hamed Mozaffari M; Tay LL
Spectrochim Acta A Mol Biomol Spectrosc; 2022 May; 272():120961. PubMed ID: 35124481
[TBL] [Abstract][Full Text] [Related]
18. Identification of Chinese red wine origins based on Raman spectroscopy and deep learning.
Lu B; Tian F; Chen C; Wu W; Tian X; Chen C; Lv X
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Apr; 291():122355. PubMed ID: 36641919
[TBL] [Abstract][Full Text] [Related]
19. Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning.
Ho CS; Jean N; Hogan CA; Blackmon L; Jeffrey SS; Holodniy M; Banaei N; Saleh AAE; Ermon S; Dionne J
Nat Commun; 2019 Oct; 10(1):4927. PubMed ID: 31666527
[TBL] [Abstract][Full Text] [Related]
20. Shedding Light on Colorectal Cancer: An In Vivo Raman Spectroscopy Approach Combined with Deep Learning Analysis.
Kouri MA; Karnachoriti M; Spyratou E; Orfanoudakis S; Kalatzis D; Kontos AG; Seimenis I; Efstathopoulos EP; Tsaroucha A; Lambropoulou M
Int J Mol Sci; 2023 Nov; 24(23):. PubMed ID: 38068905
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
