-
2
-
-
84862288320
-
Theano: A CPU and GPU math expression compiler
-
June, 7
-
J. Bergstra, O. Breuleux, F. Bastien, P. Lamblin, R. Pascanu, G. Desjardins, J. Turian, D. Warde-Farley, and Y. Bengio. Theano: a CPU and GPU Math Expression Compiler. In Proceedings of the Python for Scientific Computing Conference (SciPy), year = 2010, location = Austin, TX, note = Oral Presentation, June. 7
-
Proceedings of the Python for Scientific Computing Conference (SciPy), Year = 2010, Location = Austin, TX, Note = Oral Presentation
-
-
Bergstra, J.1
Breuleux, O.2
Bastien, F.3
Lamblin, P.4
Pascanu, R.5
Desjardins, G.6
Turian, J.7
Warde-Farley, D.8
Bengio, Y.9
-
4
-
-
84875328950
-
Segmentation of bone structure in X-ray images using convolutional neural network
-
2
-
C. Cernazanu-Glavan and S. Holban. Segmentation of bone structure in X-ray images using convolutional neural network. Adv. Electr. Comput. Eng, 13(1):87-94, 2013. 2
-
(2013)
Adv. Electr. Comput. Eng
, vol.13
, Issue.1
, pp. 87-94
-
-
Cernazanu-Glavan, C.1
Holban, S.2
-
5
-
-
84877789057
-
Deep neural networks segment neuronal membranes in electron microscopy images
-
2
-
D. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber. Deep neural networks segment neuronal membranes in electron microscopy images. In Advances in neural information processing systems, pages=2843-2851, year=2012. 2
-
Advances in Neural Information Processing Systems, pages=2843-2851, year=2012
-
-
Ciresan, D.1
Giusti, A.2
Gambardella, L.M.3
Schmidhuber, J.4
-
6
-
-
84885899176
-
Mitosis detection in breast cancer histology images with deep neural networks
-
2
-
D. C. Cireşan, A. Giusti, L. M. Gambardella, and J. Schmidhuber. Mitosis detection in breast cancer histology images with deep neural networks. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2013, pages=411-418, year=2013, publisher=Springer. 2
-
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2013, pages=411-418, year=2013, Publisher= Springer
-
-
Cireşan, D.C.1
Giusti, A.2
Gambardella, L.M.3
Schmidhuber, J.4
-
7
-
-
78649673803
-
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation
-
1
-
P. Coupé, J. V. Manjon, V. Fonov, J. Pruessner, M. Robles, and D. L. Collins. Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation. NeuroImage, 54(2):940-954, 2011. 1
-
(2011)
NeuroImage
, vol.54
, Issue.2
, pp. 940-954
-
-
Coupé, P.1
Manjon, J.V.2
Fonov, V.3
Pruessner, J.4
Robles, M.5
Collins, D.L.6
-
8
-
-
84862294866
-
Deep sparse rectifier networks
-
5
-
X. Glorot, A. Bordes, and Y. Bengio. Deep sparse rectifier networks. In Proceedings of the 14th International Conference on Artificial Intelligence and Statistics. JMLR W&CP Volume, volume=15, pages=315-323, year=2011. 5
-
Proceedings of the 14th International Conference on Artificial Intelligence and Statistics. JMLR W&CP Volume, volume=15, pages=315-323, year=2011
-
-
Glorot, X.1
Bordes, A.2
Bengio, Y.3
-
9
-
-
33748784605
-
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion
-
1,2
-
R. A. Heckemann, J. V. Hajnal, P. Aljabar, D. Rueckert, and A. Hammers. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. NeuroImage, 33(1):115-126, 2006. 1, 2
-
(2006)
NeuroImage
, vol.33
, Issue.1
, pp. 115-126
-
-
Heckemann, R.A.1
Hajnal, J.V.2
Aljabar, P.3
Rueckert, D.4
Hammers, A.5
-
10
-
-
0034078533
-
Structural changes of the substantia nigra in Parkinson's disease as revealed by MR imaging
-
1
-
M. Hutchinson and U. Raff. Structural changes of the substantia nigra in Parkinson's disease as revealed by MR imaging. American journal of neuroradiology, 21(4):697-701, 2000. 1
-
(2000)
American Journal of Neuroradiology
, vol.21
, Issue.4
, pp. 697-701
-
-
Hutchinson, M.1
Raff, U.2
-
11
-
-
27644530952
-
Mindboggle: Automated brain labeling with multiple atlases
-
1,2
-
A. Klein, B. Mensh, S. Ghosh, J. Tourville, and J. Hirsch. Mindboggle: automated brain labeling with multiple atlases. BMC medical imaging, 5(1):7, 2005. 1, 2
-
(2005)
BMC Medical Imaging
, vol.5
, Issue.1
, pp. 7
-
-
Klein, A.1
Mensh, B.2
Ghosh, S.3
Tourville, J.4
Hirsch, J.5
-
13
-
-
0032203257
-
Gradientbased learning applied to document recognition
-
4
-
Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998. 4
-
(1998)
Proceedings of the IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
14
-
-
80055033961
-
Towards a deep learning approach to brain parcellation
-
2
-
N. Lee, A. F. Laine, and A. Klein. Towards a deep learning approach to brain parcellation. In Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on, pages=321-324, year=2011, organization=IEEE. 2
-
Biomedical Imaging: From Nano to Macro 2011 IEEE International Symposium On, pages=321-324, year=2011, Organization=IEEE
-
-
Lee, N.1
Laine, A.F.2
Klein, A.3
-
15
-
-
34548409688
-
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI data in young, middle aged, nondemented, and demented older adults
-
6
-
D. S. Marcus, T. H. Wang, J. Parker, J. G. Csernansky, J. C. Morris, and R. L. Buckner. Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. Journal of cognitive neuroscience, 19(9):1498-1507, 2007. 6
-
(2007)
Journal of Cognitive Neuroscience
, vol.19
, Issue.9
, pp. 1498-1507
-
-
Marcus, D.S.1
Wang, T.H.2
Parker, J.3
Csernansky, J.G.4
Morris, J.C.5
Buckner, R.L.6
-
16
-
-
0344009664
-
Segmentation of magnetic resonance images using a combination of neural networks and active contour models
-
2
-
I. Middleton and R. I. Damper. Segmentation of magnetic resonance images using a combination of neural networks and active contour models. Medical engineering & physics, 26(1):71-86, 2004. 2
-
(2004)
Medical Engineering & Physics
, vol.26
, Issue.1
, pp. 71-86
-
-
Middleton, I.1
Damper, R.I.2
-
17
-
-
26444512083
-
Toward automatic phenotyping of developing embryos from videos
-
2
-
F. Ning, D. Delhomme, Y. LeCun, F. Piano, L. Bottou, and P. E. Barbano. Toward automatic phenotyping of developing embryos from videos. Image Processing, IEEE Transactions on, 14(9):1360-1371, 2005. 2
-
(2005)
Image Processing IEEE Transactions on
, vol.14
, Issue.9
, pp. 1360-1371
-
-
Ning, F.1
Delhomme, D.2
LeCun, Y.3
Piano, F.4
Bottou, L.5
Barbano, P.E.6
-
18
-
-
0037293284
-
Neuroimaging and early diagnosis of Alzheimer disease: A look to the future 1
-
1
-
J. R. Petrella, R. E. Coleman, and P. M. Doraiswamy. Neuroimaging and Early Diagnosis of Alzheimer Disease: A Look to the Future 1. Radiology, 226(2):315-336, 2003. 1
-
(2003)
Radiology
, vol.226
, Issue.2
, pp. 315-336
-
-
Petrella, J.R.1
Coleman, R.E.2
Doraiswamy, P.M.3
-
19
-
-
84885933775
-
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network
-
2
-
A. Prasoon, K. Petersen, C. Igel, F. Lauze, E. Dam, and M. Nielsen. Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2013, pages=246-253, year=2013, publisher=Springer. 2
-
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2013, pages=246-253, year=2013, Publisher= Springer
-
-
Prasoon, A.1
Petersen, K.2
Igel, C.3
Lauze, F.4
Dam, E.5
Nielsen, M.6
-
20
-
-
34948870900
-
Unsupervised learning of invariant feature hierarchies with applications to object recognition
-
4
-
M. Ranzato, F. J. Huang, Y.-L. Boureau, and Y. LeCun. Unsupervised learning of invariant feature hierarchies with applications to object recognition. In Computer Vision and Pattern Recognition, 2007. CVPR'07. IEEE Conference on, pages=1-8, year=2007, organization=IEEE. 4
-
Computer Vision and Pattern Recognition 2007. CVPR'07 IEEE Conference On, pages=1-8, year=2007, Organization=IEEE
-
-
Ranzato, M.1
Huang, F.J.2
Boureau, Y.-L.3
LeCun, Y.4
-
22
-
-
84897510162
-
On the importance of initialization and momentum in deep learning
-
5
-
I. Sutskever, J. Martens, G. Dahl, and G. Hinton. On the importance of initialization and momentum in deep learning. In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pages=1139-1147, year=2013. 5
-
Proceedings of the 30th International Conference on Machine Learning (ICML-13), pages=1139-1147, year=2013
-
-
Sutskever, I.1
Martens, J.2
Dahl, G.3
Hinton, G.4
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