-
2
-
-
84922510254
-
Digital holography
-
Springer
-
Schnars, U., Falldorf, C., Watson, J., and Juptner, W., "Digital holography, " in [Digital Holography and Wavefront Sensing], 39-68, Springer (2015).
-
(2015)
Digital Holography and Wavefront Sensing
, pp. 39-68
-
-
Schnars, U.1
Falldorf, C.2
Watson, J.3
Juptner, W.4
-
3
-
-
84978983249
-
Review of quantitative phase-digital holographic microscopy: Promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders
-
Marquet, P., Depeursinge, C., and Magistretti, P. J., "Review of quantitative phase-digital holographic microscopy: promising novel imaging technique to resolve neuronal network activity and identify cellular biomarkers of psychiatric disorders, " Neurophotonics 1 (2), 020901-020901 (2014).
-
(2014)
Neurophotonics
, vol.1
, Issue.2
, pp. 020901
-
-
Marquet, P.1
Depeursinge, C.2
Magistretti, P.J.3
-
4
-
-
85018737264
-
Microstructural surface characterization of stainless and plain carbon steel using digital holographic microscopy
-
Pourvais, Y., Asgari, P., Abdollahi, P., Khamedi, R., and Moradi, A.-R., "Microstructural surface characterization of stainless and plain carbon steel using digital holographic microscopy, " J. Opt. Soc. Am. B 34 (5), B36-B41 (2017).
-
(2017)
J. Opt. Soc. Am. B
, vol.34
, Issue.5
, pp. B36-B41
-
-
Pourvais, Y.1
Asgari, P.2
Abdollahi, P.3
Khamedi, R.4
Moradi, A.-R.5
-
5
-
-
0000239175
-
Simultaneous amplitude-contrast and quantitative phasecontrast microscopy by numerical reconstruction of fresnel o-axis holograms
-
Cuche, E., Marquet, P., and Depeursinge, C., "Simultaneous amplitude-contrast and quantitative phasecontrast microscopy by numerical reconstruction of fresnel o-axis holograms, " Appl. Opt. 38 (34), 6994-7001 (1999).
-
(1999)
Appl. Opt.
, vol.38
, Issue.34
, pp. 6994-7001
-
-
Cuche, E.1
Marquet, P.2
Depeursinge, C.3
-
6
-
-
84906100850
-
Digital holographic microscopy and focusing methods based on image sharpness
-
Ilhan, H. A., Dogar, M., and Ozcan, M., "Digital holographic microscopy and focusing methods based on image sharpness, " J. of Microscopy 255 (3), 138-149 (2014).
-
(2014)
J. of Microscopy
, vol.255
, Issue.3
, pp. 138-149
-
-
Ilhan, H.A.1
Dogar, M.2
Ozcan, M.3
-
7
-
-
84934757864
-
Autofocusing of optical scanning holography based on entropy minimization
-
Optical Society of America
-
Ren, Z., Chen, N., Chan, A., and Lam, E. Y., "Autofocusing of optical scanning holography based on entropy minimization, " in [Digital Holography and Three-Dimensional Imaging], DT4A-4, Optical Society of America (2015).
-
(2015)
Digital Holography and Three-Dimensional Imaging
, pp. DT4A-4
-
-
Ren, Z.1
Chen, N.2
Chan, A.3
Lam, E.Y.4
-
8
-
-
84962054930
-
Extended focused imaging and depth map reconstruction in optical scanning holography
-
Ren, Z., Chen, N., and Lam, E. Y., "Extended focused imaging and depth map reconstruction in optical scanning holography, " Appl. Opt. 55, 1040-1047 (2016).
-
(2016)
Appl. Opt.
, vol.55
, pp. 1040-1047
-
-
Ren, Z.1
Chen, N.2
Lam, E.Y.3
-
9
-
-
85018983719
-
Automatic focusing for multisectional objects in digital holography using the structure tensor
-
Ren, Z., Chen, N., and Lam, E. Y., "Automatic focusing for multisectional objects in digital holography using the structure tensor, " Opt. Lett. 42 (9), 1720-1723 (2017).
-
(2017)
Opt. Lett.
, vol.42
, Issue.9
, pp. 1720-1723
-
-
Ren, Z.1
Chen, N.2
Lam, E.Y.3
-
10
-
-
84913557780
-
Fast focus estimation using frequency analysis in digital holography
-
Oh, S., Hwang, C.-Y., Jeong, I. K., Lee, S.-K., and Park, J.-H., "Fast focus estimation using frequency analysis in digital holography, " Opt. Express 22 (23), 28926-28933 (2014).
-
(2014)
Opt. Express
, vol.22
, Issue.23
, pp. 28926-28933
-
-
Oh, S.1
Hwang, C.-Y.2
Jeong, I.K.3
Lee, S.-K.4
Park, J.-H.5
-
11
-
-
84930630277
-
Deep learning
-
LeCun, Y., Bengio, Y., and Hinton, G. E., "Deep learning, " Nature 521 (7553), 436-444 (2015).
-
(2015)
Nature
, vol.521
, Issue.7553
, pp. 436-444
-
-
LeCun, Y.1
Bengio, Y.2
Hinton, G.E.3
-
12
-
-
84905230329
-
Deep learning of feature representation with multiple instance learning for medical image analysis
-
IEEE
-
Xu, Y., Mo, T., Feng, Q., Zhong, P., Lai, M., Eric, I., and Chang, C., "Deep learning of feature representation with multiple instance learning for medical image analysis, " in [International Conference on Acoustics, Speech and Signal Processing (ICASSP)], 1626-1630, IEEE (2014).
-
(2014)
International Conference on Acoustics, Speech and Signal Processing (ICASSP)
, pp. 1626-1630
-
-
Xu, Y.1
Mo, T.2
Feng, Q.3
Zhong, P.4
Lai, M.5
Eric, I.6
Chang, C.7
-
13
-
-
84937922745
-
Learning approach to optical tomography
-
Kamilov, U. S., Papadopoulos, I. N., Shoreh, M. H., Goy, A., Vonesch, C., Unser, M., and Psaltis, D., "Learning approach to optical tomography, " Optica 2 (6), 517-522 (2015).
-
(2015)
Optica
, vol.2
, Issue.6
, pp. 517-522
-
-
Kamilov, U.S.1
Papadopoulos, I.N.2
Shoreh, M.H.3
Goy, A.4
Vonesch, C.5
Unser, M.6
Psaltis, D.7
-
14
-
-
85025835457
-
-
arXiv: 1702. 08516
-
Sinha, A., Lee, J., Li, S., and Barbastathis, G., "Lensless computational imaging through deep learning, " arXiv: 1702. 08516 (2017).
-
(2017)
Lensless Computational Imaging Through Deep Learning
-
-
Sinha, A.1
Lee, J.2
Li, S.3
Barbastathis, G.4
-
15
-
-
84922125479
-
Machine-learning approach to holographic particle characterization
-
Yevick, A., Hannel, M., and Grier, D. G., "Machine-learning approach to holographic particle characterization, " Opt. Express 22 (22), 26884-26890 (2014).
-
(2014)
Opt. Express
, vol.22
, Issue.22
, pp. 26884-26890
-
-
Yevick, A.1
Hannel, M.2
Grier, D.G.3
-
16
-
-
84992390993
-
Automated detection of p. Falciparum using machine learning algorithms with quantitative phase images of unstained cells
-
Park, H. S., Rinehart, M. T., Walzer, K. A., Chi, J.-T. A., and Wax, A., "Automated detection of p. falciparum using machine learning algorithms with quantitative phase images of unstained cells, " PloS One 11 (9), e0163045 (2016).
-
(2016)
PloS One
, vol.11
, Issue.9
, pp. e0163045
-
-
Park, H.S.1
Rinehart, M.T.2
Walzer, K.A.3
Chi, A.J.-T.4
Wax, A.5
-
17
-
-
85029824792
-
-
arXiv: 1705. 04286
-
Rivenson, Y., Zhang, Y., Gunaydin, H., Teng, D., and Ozcan, A., "Phase recovery and holographic image reconstruction using deep learning in neural networks, " arXiv: 1705. 04286 (2017).
-
(2017)
Phase Recovery and Holographic Image Reconstruction Using Deep Learning in Neural Networks
-
-
Rivenson, Y.1
Zhang, Y.2
Gunaydin, H.3
Teng, D.4
Ozcan, A.5
-
18
-
-
85021286686
-
Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection
-
Nguyen, T., Bui, V., Lam, V., Raub, C. B., Chang, L.-C., and Nehmetallah, G., "Automatic phase aberration compensation for digital holographic microscopy based on deep learning background detection, " Opt. Express 25 (13), 15043-15057 (2017).
-
(2017)
Opt. Express
, vol.25
, Issue.13
, pp. 15043-15057
-
-
Nguyen, T.1
Bui, V.2
Lam, V.3
Raub, C.B.4
Chang, L.-C.5
Nehmetallah, G.6
-
19
-
-
85045292861
-
Performance of autofocus capability of deep convolutional neural networks in digital holographic microscopy
-
Optical Society of America
-
Pitkaaho, T., Manninen, A., and Naughton, T. J., "Performance of autofocus capability of deep convolutional neural networks in digital holographic microscopy, " in [Digital Holography and Three-Dimensional Imaging], W2A-5, Optical Society of America (2017).
-
(2017)
Digital Holography and Three-Dimensional Imaging
, pp. W2A-5
-
-
Pitkaaho, T.1
Manninen, A.2
Naughton, T.J.3
-
20
-
-
0033636139
-
Support vector machine classification and validation of cancer tissue samples using microarray expression data
-
Furey, T. S., Cristianini, N., Duy, N., Bednarski, D. W., Schummer, M., and Haussler, D., "Support vector machine classification and validation of cancer tissue samples using microarray expression data, " Bioinformatics 16 (10), 906-914 (2000).
-
(2000)
Bioinformatics
, vol.16
, Issue.10
, pp. 906-914
-
-
Furey, T.S.1
Cristianini, N.2
Duy, N.3
Bednarski, D.W.4
Schummer, M.5
Haussler, D.6
-
21
-
-
33749257955
-
Distance metric learning for large margin nearest neighbor classification
-
Weinberger, K. Q., Blitzer, J., and Saul, L. K., "Distance metric learning for large margin nearest neighbor classification, " in [Advances in Neural Information Processing Systems], 1473-1480 (2006).
-
(2006)
Advances in Neural Information Processing Systems
, pp. 1473-1480
-
-
Weinberger, K.Q.1
Blitzer, J.2
Saul, L.K.3
-
22
-
-
84944735469
-
-
MIT Press
-
Goodfellow, I., Bengio, Y., and Courville, A., [Deep Learning], MIT Press (2016). http://www. deeplearningbook. org.
-
(2016)
Deep Learning
-
-
Goodfellow, I.1
Bengio, Y.2
Courville, A.3
-
23
-
-
84864758525
-
Evaluation: From precision, recall and F-measure to ROC, informedness, markedness and correlation
-
Powers, D. M., "Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation, " J. Mach. Learn. Res. 2 (1), 37-63 (2011).
-
(2011)
J. Mach. Learn. Res.
, vol.2
, Issue.1
, pp. 37-63
-
-
Powers, D.M.1
-
24
-
-
84919414531
-
Hep-2 cell image classification with convolutional neural networks
-
IEEE
-
Gao, Z., Zhang, J., Zhou, L., and Wang, L., "Hep-2 cell image classification with convolutional neural networks, " in [Workshop on Pattern Recognition Techniques for Indirect Immunouorescence Images (I3A)], 24-28, IEEE (2014).
-
(2014)
Workshop on Pattern Recognition Techniques for Indirect Immunouorescence Images (I3A)
, pp. 24-28
-
-
Gao, Z.1
Zhang, J.2
Zhou, L.3
Wang, L.4
-
25
-
-
57249084011
-
Visualizing data using t-SNE
-
Nov
-
Maaten, L. v. d. and Hinton, G., "Visualizing data using t-SNE, " J. Mach. Learn. Res. 9 (Nov), 2579-2605 (2008).
-
(2008)
J. Mach. Learn. Res.
, vol.9
, pp. 2579-2605
-
-
Maaten, L.1
Hinton, G.2
-
26
-
-
44649092482
-
Comparing naive Bayes, decision trees, and SVM with AUC and accuracy
-
IEEE
-
Huang, J., Lu, J., and Ling, C. X., "Comparing naive Bayes, decision trees, and SVM with AUC and accuracy, " in [Proceedings of International Conference on Data Mining], 553-556, IEEE (2003).
-
(2003)
Proceedings of International Conference on Data Mining
, pp. 553-556
-
-
Huang, J.1
Lu, J.2
Ling, C.X.3
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