112 related articles for article (PubMed ID: 31225858)
1. Deep representation learning for domain adaptable classification of infrared spectral imaging data.
Raulf AP; Butke J; Küpper C; Großerueschkamp F; Gerwert K; Mosig A
Bioinformatics; 2020 Jan; 36(1):287-294. PubMed ID: 31225858
[TBL] [Abstract][Full Text] [Related]
2. A representation learning approach for recovering scatter-corrected spectra from Fourier-transform infrared spectra of tissue samples.
Raulf AP; Butke J; Menzen L; Küpper C; Großerueschkamp F; Gerwert K; Mosig A
J Biophotonics; 2021 Mar; 14(3):e202000385. PubMed ID: 33295130
[TBL] [Abstract][Full Text] [Related]
3. On the feasibility of deep learning applications using raw mass spectrometry data.
Cadow J; Manica M; Mathis R; Guo T; Aebersold R; Rodríguez Martínez M
Bioinformatics; 2021 Jul; 37(Suppl_1):i245-i253. PubMed ID: 34252933
[TBL] [Abstract][Full Text] [Related]
4. HUNER: improving biomedical NER with pretraining.
Weber L; Münchmeyer J; Rocktäschel T; Habibi M; Leser U
Bioinformatics; 2020 Jan; 36(1):295-302. PubMed ID: 31243432
[TBL] [Abstract][Full Text] [Related]
5. Hierarchical deep convolutional neural networks combine spectral and spatial information for highly accurate Raman-microscopy-based cytopathology.
Krauß SD; Roy R; Yosef HK; Lechtonen T; El-Mashtoly SF; Gerwert K; Mosig A
J Biophotonics; 2018 Oct; 11(10):e201800022. PubMed ID: 29781102
[TBL] [Abstract][Full Text] [Related]
6. GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text.
Zhu Q; Li X; Conesa A; Pereira C
Bioinformatics; 2018 May; 34(9):1547-1554. PubMed ID: 29272325
[TBL] [Abstract][Full Text] [Related]
7. forgeNet: a graph deep neural network model using tree-based ensemble classifiers for feature graph construction.
Kong Y; Yu T
Bioinformatics; 2020 Jun; 36(11):3507-3515. PubMed ID: 32163118
[TBL] [Abstract][Full Text] [Related]
8. deepDR: a network-based deep learning approach to in silico drug repositioning.
Zeng X; Zhu S; Liu X; Zhou Y; Nussinov R; Cheng F
Bioinformatics; 2019 Dec; 35(24):5191-5198. PubMed ID: 31116390
[TBL] [Abstract][Full Text] [Related]
9. Dimensionality reduction for deep learning in infrared microscopy: a comparative computational survey.
Müller D; Schuhmacher D; Schörner S; Großerueschkamp F; Tischoff I; Tannapfel A; Reinacher-Schick A; Gerwert K; Mosig A
Analyst; 2023 Oct; 148(20):5022-5032. PubMed ID: 37702617
[TBL] [Abstract][Full Text] [Related]
10. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
Pang S; Yu Z; Orgun MA
Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
[TBL] [Abstract][Full Text] [Related]
11. Deep-learning method for data association in particle tracking.
Yao Y; Smal I; Grigoriev I; Akhmanova A; Meijering E
Bioinformatics; 2020 Dec; 36(19):4935-4941. PubMed ID: 32879934
[TBL] [Abstract][Full Text] [Related]
12. Recognition of peripheral blood cell images using convolutional neural networks.
Acevedo A; Alférez S; Merino A; Puigví L; Rodellar J
Comput Methods Programs Biomed; 2019 Oct; 180():105020. PubMed ID: 31425939
[TBL] [Abstract][Full Text] [Related]
13. ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images.
Long W; Yang Y; Shen HB
Bioinformatics; 2020 Apr; 36(7):2244-2250. PubMed ID: 31804670
[TBL] [Abstract][Full Text] [Related]
14. DLBI: deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy.
Li Y; Xu F; Zhang F; Xu P; Zhang M; Fan M; Li L; Gao X; Han R
Bioinformatics; 2018 Jul; 34(13):i284-i294. PubMed ID: 29950012
[TBL] [Abstract][Full Text] [Related]
15. QDeep: distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks.
Shuvo MH; Bhattacharya S; Bhattacharya D
Bioinformatics; 2020 Jul; 36(Suppl_1):i285-i291. PubMed ID: 32657397
[TBL] [Abstract][Full Text] [Related]
16. Deep learning on chaos game representation for proteins.
Löchel HF; Eger D; Sperlea T; Heider D
Bioinformatics; 2020 Jan; 36(1):272-279. PubMed ID: 31225868
[TBL] [Abstract][Full Text] [Related]
17. Cross-type biomedical named entity recognition with deep multi-task learning.
Wang X; Zhang Y; Ren X; Zhang Y; Zitnik M; Shang J; Langlotz C; Han J
Bioinformatics; 2019 May; 35(10):1745-1752. PubMed ID: 30307536
[TBL] [Abstract][Full Text] [Related]
18. Deep convolutional networks for quality assessment of protein folds.
Derevyanko G; Grudinin S; Bengio Y; Lamoureux G
Bioinformatics; 2018 Dec; 34(23):4046-4053. PubMed ID: 29931128
[TBL] [Abstract][Full Text] [Related]
19. Near-Infrared Hyperspectral Imaging Combined with Deep Learning to Identify Cotton Seed Varieties.
Zhu S; Zhou L; Gao P; Bao Y; He Y; Feng L
Molecules; 2019 Sep; 24(18):. PubMed ID: 31500333
[TBL] [Abstract][Full Text] [Related]
20. Deep learning for tumor classification in imaging mass spectrometry.
Behrmann J; Etmann C; Boskamp T; Casadonte R; Kriegsmann J; Maaß P
Bioinformatics; 2018 Apr; 34(7):1215-1223. PubMed ID: 29126286
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]