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Items: 1 to 20 of 29

1.

Deciphering anomalous heterogeneous intracellular transport with neural networks.

Han D, Korabel N, Chen R, Johnston M, Gavrilova A, Allan VJ, Fedotov S, Waigh TA.

Elife. 2020 Mar 24;9. pii: e52224. doi: 10.7554/eLife.52224. [Epub ahead of print]

2.

NormAE: Deep Adversarial Learning Model to Remove Batch Effects in Liquid Chromatography Mass Spectrometry-Based Metabolomics Data.

Rong Z, Tan Q, Cao L, Zhang L, Deng K, Huang Y, Zhu ZJ, Li Z, Li K.

Anal Chem. 2020 Mar 24. doi: 10.1021/acs.analchem.9b05460. [Epub ahead of print]

PMID:
32207605
3.

Brewery: Deep Learning and deeper profiles for the prediction of 1D protein structure annotations.

Torrisi M, Pollastri G.

Bioinformatics. 2020 Mar 24. pii: btaa204. doi: 10.1093/bioinformatics/btaa204. [Epub ahead of print]

PMID:
32207516
4.

Cancer subtype classification and modeling by pathway attention and propagation.

Lee S, Lim S, Lee T, Sung I, Kim S.

Bioinformatics. 2020 Mar 24. pii: btaa203. doi: 10.1093/bioinformatics/btaa203. [Epub ahead of print]

PMID:
32207514
5.

Machine Learning Applications in Endocrinology and Metabolism Research: An Overview.

Hong N, Park H, Rhee Y.

Endocrinol Metab (Seoul). 2020 Mar;35(1):71-84. doi: 10.3803/EnM.2020.35.1.71. Review.

6.

Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities.

Jung W, Bollmann S, Lee J.

NMR Biomed. 2020 Mar 23:e4292. doi: 10.1002/nbm.4292. [Epub ahead of print]

PMID:
32207195
7.

Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning.

Zeiser FA, da Costa CA, Zonta T, Marques NMC, Roehe AV, Moreno M, da Rosa Righi R.

J Digit Imaging. 2020 Mar 23. doi: 10.1007/s10278-020-00330-4. [Epub ahead of print]

PMID:
32206943
8.

Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling.

Yu CH, Buehler MJ.

APL Bioeng. 2020 Mar 17;4(1):016108. doi: 10.1063/1.5133026. eCollection 2020 Mar.

9.

DirectPET: full-size neural network PET reconstruction from sinogram data.

Whiteley W, Luk WK, Gregor J.

J Med Imaging (Bellingham). 2020 May;7(3):032503. doi: 10.1117/1.JMI.7.3.032503. Epub 2020 Feb 28.

PMID:
32206686
10.

Changing the Game: Spine Care in the Era of Artificial Intelligence and Deep Learning Algorithms.

Wiechert K, Wang JC, Chapman JR.

Global Spine J. 2020 Apr;10(2):117. doi: 10.1177/2192568219899944. Epub 2020 Mar 12. No abstract available.

11.

Deep learning in single-molecule microscopy: fundamentals, caveats, and recent developments [Invited].

Möckl L, Roy AR, Moerner WE.

Biomed Opt Express. 2020 Feb 27;11(3):1633-1661. doi: 10.1364/BOE.386361. eCollection 2020 Mar 1. Review.

12.

Comparative study of deep learning models for optical coherence tomography angiography.

Jiang Z, Huang Z, Qiu B, Meng X, You Y, Liu X, Liu G, Zhou C, Yang K, Maier A, Ren Q, Lu Y.

Biomed Opt Express. 2020 Feb 26;11(3):1580-1597. doi: 10.1364/BOE.387807. eCollection 2020 Mar 1.

13.

Deep learning segmentation for optical coherence tomography measurements of the lower tear meniscus.

Stegmann H, Werkmeister RM, Pfister M, Garhöfer G, Schmetterer L, Dos Santos VA.

Biomed Opt Express. 2020 Feb 20;11(3):1539-1554. doi: 10.1364/BOE.386228. eCollection 2020 Mar 1.

14.

Tumor detection of the thyroid and salivary glands using hyperspectral imaging and deep learning.

Halicek M, Dormer JD, Little JV, Chen AY, Fei B.

Biomed Opt Express. 2020 Feb 18;11(3):1383-1400. doi: 10.1364/BOE.381257. eCollection 2020 Mar 1.

15.

Analysis of CNN-based remote-PPG to understand limitations and sensitivities.

Zhan Q, Wang W, de Haan G.

Biomed Opt Express. 2020 Feb 7;11(3):1268-1283. doi: 10.1364/BOE.382637. eCollection 2020 Mar 1.

16.

PhUn-Net: ready-to-use neural network for unwrapping quantitative phase images of biological cells.

Dardikman-Yoffe G, Roitshtain D, Mirsky SK, Turko NA, Habaza M, Shaked NT.

Biomed Opt Express. 2020 Jan 24;11(2):1107-1121. doi: 10.1364/BOE.379533. eCollection 2020 Feb 1.

17.

Basal and Acetazolamide Brain Perfusion SPECT in Internal Carotid Artery Stenosis.

Wong TH, Shagera QA, Ryoo HG, Ha S, Lee DS.

Nucl Med Mol Imaging. 2020 Feb;54(1):9-27. doi: 10.1007/s13139-019-00633-7. Epub 2020 Jan 8. Review.

PMID:
32206127
18.

SpikeSegNet-a deep learning approach utilizing encoder-decoder network with hourglass for spike segmentation and counting in wheat plant from visual imaging.

Misra T, Arora A, Marwaha S, Chinnusamy V, Rao AR, Jain R, Sahoo RN, Ray M, Kumar S, Raju D, Jha RR, Nigam A, Goel S.

Plant Methods. 2020 Mar 18;16:40. doi: 10.1186/s13007-020-00582-9. eCollection 2020.

19.

Deep Learning Localization of Pneumonia: 2019 Coronavirus (COVID-19) Outbreak.

Hurt B, Kligerman S, Hsiao A.

J Thorac Imaging. 2020 Mar 20. doi: 10.1097/RTI.0000000000000512. [Epub ahead of print] No abstract available.

PMID:
32205822
20.

Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.

Hurt B, Yen A, Kligerman S, Hsiao A.

J Thorac Imaging. 2020 Mar 20. doi: 10.1097/RTI.0000000000000505. [Epub ahead of print]

PMID:
32205817

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