-
2
-
-
84996587978
-
-
Chen,H.,Qi,X.,Yu,L.,Heng,P.A.: Dcan: deep contour-aware networks for accurate gland segmentation. arXiv preprint arXiv:1604.02677 (2016)
-
(2016)
Dcan: Deep Contour-Aware Networks for Accurate Gland Segmentation. Arxiv Preprint Arxiv
, vol.1604
, pp. 02677
-
-
Chen, H.1
Qi, X.2
Yu, L.3
Heng, P.A.4
-
3
-
-
84968542337
-
Automatic detection of cerebral microbleeds from mr images via 3D convolutional neural networks
-
Dou,Q.,Chen,H.,Yu,L.,Zhao,L.,Qin,J.,Wang,D.,Mok,V.C.,Shi,L.,Heng,P.A.: Automatic detection of cerebral microbleeds from mr images via 3D convolutional neural networks. IEEE TMI 35(5),1182–1195 (2016)
-
(2016)
IEEE TMI
, vol.35
, Issue.5
, pp. 1182-1195
-
-
Dou, Q.1
Chen, H.2
Yu, L.3
Zhao, L.4
Qin, J.5
Wang, D.6
Mok, V.C.7
Shi, L.8
Heng, P.A.9
-
4
-
-
84862277874
-
Understanding the difficulty of training deep feedforward neural networks
-
Glorot,X.,Bengio,Y.: Understanding the difficulty of training deep feedforward neural networks. In: AISTATS,pp. 249–256 (2010)
-
(2010)
AISTATS
, pp. 249-256
-
-
Glorot, X.1
Bengio, Y.2
-
5
-
-
45849145455
-
A statistical deformable model for the segmentation of liver CT volumes
-
Heimann,T.,Meinzer,H.P.,Wolf,I.: A statistical deformable model for the segmentation of liver CT volumes. In: Proceedings of MICCAI Workshop. 3D Segmentation in the Clinic: A Grand Challenge,pp. 161–166 (2007)
-
(2007)
Proceedings of MICCAI Workshop. 3D Segmentation in the Clinic: A Grand Challenge
, pp. 161-166
-
-
Heimann, T.1
Meinzer, H.P.2
Wolf, I.3
-
6
-
-
68249121543
-
Comparison and evaluation of methods for liver segmentation from CT datasets
-
Heimann,T.,Van Ginneken,B.,Styner,M.A.,Arzhaeva,Y.,Aurich,V.,Bauer,C.,Beck,A.,et al.: Comparison and evaluation of methods for liver segmentation from CT datasets. IEEE Trans. Med. Imaging 28(8),1251–1265 (2009)
-
(2009)
IEEE Trans. Med. Imaging
, vol.28
, Issue.8
, pp. 1251-1265
-
-
Heimann, T.1
Van Ginneken, B.2
Styner, M.A.3
Arzhaeva, Y.4
Aurich, V.5
Bauer, C.6
Beck, A.7
-
7
-
-
51049116015
-
Shape constrained automatic segmentation of the liver based on a heuristic intensity model
-
Kainmüller,D.,Lange,T.,Lamecker,H.: Shape constrained automatic segmentation of the liver based on a heuristic intensity model. In: Proceedings of MICCAI Workshop. 3D Segmentation in the Clinic: A Grand Challenge,pp. 109–116 (2007)
-
(2007)
Proceedings of MICCAI Workshop. 3D Segmentation in the Clinic: A Grand Challenge
, pp. 109-116
-
-
Kainmüller, D.1
Lange, T.2
Lamecker, H.3
-
8
-
-
84982180633
-
-
arXiv preprint arXiv:1603.05959
-
Kamnitsas,K.,Ledig,C.,Newcombe,V.F.,Simpson,J.P.,Kane,A.D.,Menon,D.K.,Rueckert,D.,Glocker,B.: Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation. arXiv preprint arXiv:1603.05959 (2016)
-
(2016)
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
-
-
Kamnitsas, K.1
Ledig, C.2
Newcombe, V.F.3
Simpson, J.P.4
Kane, A.D.5
Menon, D.K.6
Rueckert, D.7
Glocker, B.8
-
10
-
-
84943645147
-
-
arXiv preprint arXiv:1409.5185
-
Lee,C.Y.,Xie,S.,Gallagher,P.,Zhang,Z.,Tu,Z.: Deeply-supervised nets. arXiv preprint arXiv:1409.5185 (2014)
-
(2014)
Deeply-Supervised Nets
-
-
Lee, C.Y.1
Xie, S.2
Gallagher, P.3
Zhang, Z.4
Tu, Z.5
-
11
-
-
84945230598
-
Fully convolutional networks for semantic segmentation
-
Long,J.,Shelhamer,E.,Darrell,T.: Fully convolutional networks for semantic segmentation. In: IEEE CVPR,pp. 3431–3440 (2015)
-
(2015)
IEEE CVPR
, pp. 3431-3440
-
-
Long, J.1
Shelhamer, E.2
Darrell, T.3
-
12
-
-
80052048343
-
A generic probabilistic active shape model for organ segmentation
-
Yang,G.-Z.,Hawkes,D.,Rueckert,D.,Noble,A.,Taylor,C. (eds.),Springer,Heidelberg
-
Wimmer,A.,Soza,G.,Hornegger,J.: A generic probabilistic active shape model for organ segmentation. In: Yang,G.-Z.,Hawkes,D.,Rueckert,D.,Noble,A.,Taylor,C. (eds.) MICCAI 2009. LNCS,vol. 5762,pp. 26–33. Springer,Heidelberg (2009). doi:10.1007/978-3-642-04271-3_4
-
(2009)
MICCAI 2009. LNCS
, vol.5762
, pp. 26-33
-
-
Wimmer, A.1
Soza, G.2
Hornegger, J.3
-
13
-
-
84947484146
-
Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networks
-
Navab,N.,Hornegger,J.,Wells,W.M.,Frangi,A.F. (eds.),Springer,Heidelberg
-
Wolterink,J.M.,Leiner,T.,Viergever,M.A.,Išgum,I.: Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networks. In: Navab,N.,Hornegger,J.,Wells,W.M.,Frangi,A.F. (eds.) MICCAI 2015. LNCS,vol. 9349,pp. 589–596. Springer,Heidelberg (2015). doi:10.1007/978-3-319-24553-9_72
-
(2015)
MICCAI 2015. LNCS
, vol.9349
, pp. 589-596
-
-
Wolterink, J.M.1
Leiner, T.2
Viergever, M.A.3
Išgum, I.4
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