-
1
-
-
85027876514
-
-
Medicare Provider Utilization and Payment Data: Physician and Other Supplier. Accessed May 20
-
Centers for Medicare & Medicaid Services. Medicare Provider Utilization and Payment Data: Physician and Other Supplier. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Physician-and-Other-Supplier.html. Accessed May 20, 2016.
-
(2016)
-
-
Centers for Medicare & Medicaid Services1
-
2
-
-
0026254046
-
Optical coherence tomography
-
Huang, D., Swanson, E.A., Lin, C.P., et al. Optical coherence tomography. Science 254 (1991), 1178–1181.
-
(1991)
Science
, vol.254
, pp. 1178-1181
-
-
Huang, D.1
Swanson, E.A.2
Lin, C.P.3
-
3
-
-
84875260404
-
Diffusion of technologies for the care of older adults with exudative age-related macular degeneration
-
Stein, J.D., Hanrahan, B.W., Comer, G.M., Sloan, F.A., Diffusion of technologies for the care of older adults with exudative age-related macular degeneration. Am J Ophthalmol 155 (2013), 688–696.e2.
-
(2013)
Am J Ophthalmol
, vol.155
, pp. 688-696.e2
-
-
Stein, J.D.1
Hanrahan, B.W.2
Comer, G.M.3
Sloan, F.A.4
-
4
-
-
84865157285
-
Evaluation of age-related macular degeneration with optical coherence tomography
-
Keane, P.A., Patel, P.J., Liakopoulos, S., Heussen, F.M., Sadda, S.R., Tufail, A., Evaluation of age-related macular degeneration with optical coherence tomography. Surv Ophthalmol 57 (2012), 389–414.
-
(2012)
Surv Ophthalmol
, vol.57
, pp. 389-414
-
-
Keane, P.A.1
Patel, P.J.2
Liakopoulos, S.3
Heussen, F.M.4
Sadda, S.R.5
Tufail, A.6
-
5
-
-
84907997728
-
Ophthalmic imaging
-
Ilginis, T., Clarke, J., Patel, P.J., Ophthalmic imaging. Br Med Bull 111 (2014), 77–88.
-
(2014)
Br Med Bull
, vol.111
, pp. 77-88
-
-
Ilginis, T.1
Clarke, J.2
Patel, P.J.3
-
6
-
-
67349108048
-
Comparison of spectral-domain versus time-domain optical coherence tomography in management of age-related macular degeneration with ranibizumab
-
Sayanagi, K., Sharma, S., Yamamoto, T., Kaiser, P.K., Comparison of spectral-domain versus time-domain optical coherence tomography in management of age-related macular degeneration with ranibizumab. Ophthalmology 116 (2009), 947–955.
-
(2009)
Ophthalmology
, vol.116
, pp. 947-955
-
-
Sayanagi, K.1
Sharma, S.2
Yamamoto, T.3
Kaiser, P.K.4
-
7
-
-
67649998896
-
Evaluation of optical coherence tomography retinal thickness parameters for use in clinical trials for neovascular age-related macular degeneration
-
Keane, P.A., Liakopoulos, S., Jivrajka, R.V., et al. Evaluation of optical coherence tomography retinal thickness parameters for use in clinical trials for neovascular age-related macular degeneration. Invest Opthalmol Vis Sci 50 (2009), 3378–3385.
-
(2009)
Invest Opthalmol Vis Sci
, vol.50
, pp. 3378-3385
-
-
Keane, P.A.1
Liakopoulos, S.2
Jivrajka, R.V.3
-
8
-
-
84908297394
-
Visual acuity and central retinal thickness: fulfilment of retreatment criteria for recurrent neovascular AMD in routine clinical care
-
Reznicek, L., Muhr, J., Ulbig, M., et al. Visual acuity and central retinal thickness: fulfilment of retreatment criteria for recurrent neovascular AMD in routine clinical care. Br J Ophthalmol 98 (2014), 1333–1337.
-
(2014)
Br J Ophthalmol
, vol.98
, pp. 1333-1337
-
-
Reznicek, L.1
Muhr, J.2
Ulbig, M.3
-
9
-
-
84906282829
-
Optical coherence tomography monitoring strategies for A-VEGF–treated age-related macular degeneration: an evidence-based analysis
-
[online]
-
Pron, G., Optical coherence tomography monitoring strategies for A-VEGF–treated age-related macular degeneration: an evidence-based analysis. Ont Health Technol Assess Ser 14:10 (2014), 1–64 [online] http://www.hqontario.ca/evidence/publications-and-ohtac-recommendations/ontario-health-technology-assessment-series/OCT-monitoring-strategies.
-
(2014)
Ont Health Technol Assess Ser
, vol.14
, Issue.10
, pp. 1-64
-
-
Pron, G.1
-
10
-
-
84927599465
-
Geographic variation in radiologist capacity and widespread implementation of lung cancer CT screening
-
Smieliauskas, F., MacMahon, H., Salgia, R., Shih, Y.-C.T., Geographic variation in radiologist capacity and widespread implementation of lung cancer CT screening. J Med Screen 21 (2014), 207–215.
-
(2014)
J Med Screen
, vol.21
, pp. 207-215
-
-
Smieliauskas, F.1
MacMahon, H.2
Salgia, R.3
Shih, Y.-C.T.4
-
11
-
-
81555205692
-
Computer-aided diagnosis: how to move from the laboratory to the clinic
-
Van Ginneken, B., Schaefer-Prokop, C.M., Prokop, M., Computer-aided diagnosis: how to move from the laboratory to the clinic. Radiology 261 (2011), 719–732.
-
(2011)
Radiology
, vol.261
, pp. 719-732
-
-
Van Ginneken, B.1
Schaefer-Prokop, C.M.2
Prokop, M.3
-
12
-
-
84986274457
-
Classification of SD-OCT volumes using local binary patterns: experimental validation for DME detection
-
Lemaître, G., Rastgoo, M., Massich, J., et al. Classification of SD-OCT volumes using local binary patterns: experimental validation for DME detection. J Ophthalmol 2016 (2016), 1–14.
-
(2016)
J Ophthalmol
, vol.2016
, pp. 1-14
-
-
Lemaître, G.1
Rastgoo, M.2
Massich, J.3
-
13
-
-
84942367248
-
Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images
-
Srinivasan, P.P., Kim, L.A., Mettu, P.S., et al. Fully automated detection of diabetic macular edema and dry age-related macular degeneration from optical coherence tomography images. Biomed Opt Express 5 (2014), 3568–3577.
-
(2014)
Biomed Opt Express
, vol.5
, pp. 3568-3577
-
-
Srinivasan, P.P.1
Kim, L.A.2
Mettu, P.S.3
-
14
-
-
80052138068
-
Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding
-
Liu, Y.-Y., Chen, M., Ishikawa, H., Wollstein, G., Schuman, J.S., Rehg, J.M., Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding. Med Image Anal 15 (2011), 748–759.
-
(2011)
Med Image Anal
, vol.15
, pp. 748-759
-
-
Liu, Y.-Y.1
Chen, M.2
Ishikawa, H.3
Wollstein, G.4
Schuman, J.S.5
Rehg, J.M.6
-
15
-
-
77958488310
-
Deep machine learning - a new frontier in artificial intelligence research [research frontier]
-
Arel, I., Rose, D.C., Karnowski, T.P., Deep machine learning - a new frontier in artificial intelligence research [research frontier]. IEEE Comput Intell M 5 (2010), 13–18.
-
(2010)
IEEE Comput Intell M
, vol.5
, pp. 13-18
-
-
Arel, I.1
Rose, D.C.2
Karnowski, T.P.3
-
16
-
-
84876231242
-
-
Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems; 2012:1097-1105. Accessed October 20
-
Krizhevsky A, Sutskever I, Hinton GE. Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems; 2012:1097-1105. http://papers.nips.cc/paper/4824-imagenet-classification-w. Accessed October 20, 2016.
-
(2016)
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
17
-
-
84906489074
-
-
Visualizing and understanding convolutional networks. In: European Conference on Computer Vision.2014:818–833. Accessed October 20
-
Zeiler MD, Fergus R. Visualizing and understanding convolutional networks. In: European Conference on Computer Vision.2014:818–833. http://link.springer.com/chapter/10.1007/978-3-319-10590-1_53. Accessed October 20, 2016.
-
(2016)
-
-
Zeiler, M.D.1
Fergus, R.2
-
18
-
-
85162511224
-
-
Learning convolutional feature hierarchies for visual recognition. In: Advances in Neural Information Processing Systems; 2010:1090-1098. Accessed October 20
-
Kavukcuoglu K, Sermanet P, Boureau Y-L, Gregor K, Mathieu M, Cun YL. Learning convolutional feature hierarchies for visual recognition. In: Advances in Neural Information Processing Systems; 2010:1090-1098. http://papers.nips.cc/paper/4133-learning-convolutional-feature-hierarchies-for-visual-recognition. Accessed October 20, 2016.
-
(2016)
-
-
Kavukcuoglu, K.1
Sermanet, P.2
Boureau, Y.-L.3
Gregor, K.4
Mathieu, M.5
Cun, Y.L.6
-
19
-
-
84982243237
-
Detecting preperimetric glaucoma with standard automated perimetry using a deep learning classifier
-
Asaoka, R., Murata, H., Iwase, A., Araie, M., Detecting preperimetric glaucoma with standard automated perimetry using a deep learning classifier. Ophthalmology 123 (2016), 1974–1980.
-
(2016)
Ophthalmology
, vol.123
, pp. 1974-1980
-
-
Asaoka, R.1
Murata, H.2
Iwase, A.3
Araie, M.4
-
20
-
-
84990193991
-
Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning
-
Abràmoff, M.D., Lou, Y., Erginay, A., et al. Improved automated detection of diabetic retinopathy on a publicly available dataset through integration of deep learning. Invest Ophthalmol Vis Sci 57 (2016), 5200–5206.
-
(2016)
Invest Ophthalmol Vis Sci
, vol.57
, pp. 5200-5206
-
-
Abràmoff, M.D.1
Lou, Y.2
Erginay, A.3
-
21
-
-
84946714467
-
Automatic feature learning to grade nuclear cataracts based on deep learning
-
Gao, X., Lin, S., Wong, T.Y., Automatic feature learning to grade nuclear cataracts based on deep learning. IEEE Trans Biomed Eng 62 (2015), 2693–2701.
-
(2015)
IEEE Trans Biomed Eng
, vol.62
, pp. 2693-2701
-
-
Gao, X.1
Lin, S.2
Wong, T.Y.3
-
22
-
-
84978683018
-
Segmentation of the foveal microvasculature using deep learning networks
-
Prentašic, P., Heisler, M., Mammo, Z., et al. Segmentation of the foveal microvasculature using deep learning networks. J Biomed Opt, 21, 2016, 075008.
-
(2016)
J Biomed Opt
, vol.21
, pp. 075008
-
-
Prentašic, P.1
Heisler, M.2
Mammo, Z.3
-
23
-
-
85027842655
-
-
Very deep convolutional networks for large-scale image recognition. ArXiv:1409.1556. 2014. Accessed October 20
-
Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition. ArXiv:1409.1556. 2014. http://arxiv.org/abs/1409.1556. Accessed October 20, 2016.
-
(2016)
-
-
Simonyan, K.1
Zisserman, A.2
-
24
-
-
84862277874
-
Understanding the difficulty of training deep feedforward neural networks
-
Accessed October 20, 2016
-
Glorot, X., Bengio, Y., Understanding the difficulty of training deep feedforward neural networks. Aistats, 9, 2010, 249–256 Accessed October 20, 2016 http://www.jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf?hc_location=ufi.
-
(2010)
Aistats
, vol.9
, pp. 249-256
-
-
Glorot, X.1
Bengio, Y.2
|