-
3
-
-
79952162060
-
X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words
-
U. Avni, H. Greenspan, E. Konen, M. Sharon, and J. Goldberger. X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words. Medical Imaging, IEEE Transactions on, 2011.
-
(2011)
Medical Imaging, IEEE Transactions on
-
-
Avni, U.1
Greenspan, H.2
Konen, E.3
Sharon, M.4
Goldberger, J.5
-
6
-
-
84957029470
-
Mind's eye: A recurrent visual representation for image caption generation
-
X. Chen and C. Lawrence Zitnick. Mind's eye: A recurrent visual representation for image caption generation. In CVPR, 2015.
-
(2015)
CVPR
-
-
Chen, X.1
Lawrence Zitnick, C.2
-
7
-
-
84919728106
-
-
arXiv preprint arXiv 1406 1078
-
K. Cho, B. Van Merrïenboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio. Learning phrase representations using rnn encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078, 2014.
-
(2014)
Learning Phrase Representations Using Rnn Encoder-decoder for Statistical Machine Translation
-
-
Cho, K.1
Van Merrïenboer, B.2
Gulcehre, C.3
Bahdanau, D.4
Bougares, F.5
Schwenk, H.6
Bengio, Y.7
-
10
-
-
84865808268
-
Improving information retrieval using medical subject headings concepts: A test case on rare and chronic diseases
-
S. J. Darmoni, L. F. Soualmia, C. Letord, M.-C. Jaulent, N. Griffon, B. Thirion, and A. Névéol. Improving information retrieval using medical subject headings concepts: a test case on rare and chronic diseases. Journal of the Medical Library Association: JMLA, 100(3):176, 2012.
-
(2012)
Journal of the Medical Library Association: JMLA
, vol.100
, Issue.3
, pp. 176
-
-
Darmoni, S.J.1
Soualmia, L.F.2
Letord, C.3
Jaulent, M.-C.4
Griffon, N.5
Thirion, B.6
Névéol, A.7
-
11
-
-
84962436515
-
Preparing a collection of radiology examinations for distribution and retrieval
-
D. Demner-Fushman, M. D. Kohli, M. B. Rosenman, S. E. Shooshan, L. Rodriguez, S. Antani, G. R. Thoma, and C. J. McDonald. Preparing a collection of radiology examinations for distribution and retrieval. Journal of the American Medical Informatics Association, page ocv080, 2015.
-
(2015)
Journal of the American Medical Informatics Association, Page ocv080
-
-
Demner-Fushman, D.1
Kohli, M.D.2
Rosenman, M.B.3
Shooshan, S.E.4
Rodriguez, L.5
Antani, S.6
Thoma, G.R.7
McDonald, C.J.8
-
13
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
14
-
-
84959236502
-
Long-term recurrent convolutional networks for visual recognition and description
-
J. Donahue, L. Anne Hendricks, S. Guadarrama, M. Rohrbach, S. Venugopalan, K. Saenko, and T. Darrell. Long-term recurrent convolutional networks for visual recognition and description. In CVPR, 2015.
-
(2015)
CVPR
-
-
Donahue, J.1
Anne Hendricks, L.2
Guadarrama, S.3
Rohrbach, M.4
Venugopalan, S.5
Saenko, K.6
Darrell, T.7
-
15
-
-
84959250180
-
From captions to visual concepts and back
-
H. Fang, S. Gupta, F. Iandola, R. K. Srivastava, L. Deng, P. Dollar, J. Gao, X. He, M. Mitchell, J. C. Platt, et al. From captions to visual concepts and back. In CVPR, 2015.
-
(2015)
CVPR
-
-
Fang, H.1
Gupta, S.2
Iandola, F.3
Srivastava, R.K.4
Deng, L.5
Dollar, P.6
Gao, J.7
He, X.8
Mitchell, M.9
Platt, J.C.10
-
16
-
-
80052017343
-
Every picture tells a story: Generating sentences from images
-
A. Farhadi, M. Hejrati, M. A. Sadeghi, P. Young, C. Rashtchian, J. Hockenmaier, and D. Forsyth. Every picture tells a story: Generating sentences from images. In ECCV. 2010.
-
(2010)
ECCV
-
-
Farhadi, A.1
Hejrati, M.2
Sadeghi, M.A.3
Young, P.4
Rashtchian, C.5
Hockenmaier, J.6
Forsyth, D.7
-
19
-
-
84890543083
-
Speech recognition with deep recurrent neural networks
-
A. Graves, A.-r. Mohamed, and G. Hinton. Speech recognition with deep recurrent neural networks. In Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on. IEEE, 2013.
-
(2013)
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference On. IEEE
-
-
Graves, A.1
Mohamed, A.-R.2
Hinton, G.3
-
20
-
-
0028541191
-
Developing optimal search strategies for detecting clinically sound studies in medline
-
R. B. Haynes, N.Wilczynski, K. A. McKibbon, C. J.Walker, and J. C. Sinclair. Developing optimal search strategies for detecting clinically sound studies in medline. Journal of the American Medical Informatics Association, 1(6):447, 1994.
-
(1994)
Journal of the American Medical Informatics Association
, vol.1
, Issue.6
, pp. 447
-
-
Haynes, R.B.1
Wilczynski, N.2
McKibbon, K.A.3
Walker, C.J.4
Sinclair, J.C.5
-
21
-
-
84911384217
-
Evaluation of scan-line optimization for 3d medical image registration
-
S. Hermann. Evaluation of scan-line optimization for 3d medical image registration. In CVPR, 2014.
-
(2014)
CVPR
-
-
Hermann, S.1
-
22
-
-
58149242540
-
TREC genomics special issue overview
-
W. Hersh and E. Voorhees. Trec genomics special issue overview. Information Retrieval, 12(1):1-15, 2009.
-
(2009)
Information Retrieval
, vol.12
, Issue.1
, pp. 1-15
-
-
Hersh, W.1
Voorhees, E.2
-
23
-
-
84867720412
-
-
arXiv preprint arXiv 1207 0580
-
G. E. Hinton, N. Srivastava, A. Krizhevsky, I. Sutskever, and R. R. Salakhutdinov. Improving neural networks by preventing co-adaptation of feature detectors. arXiv preprint arXiv:1207.0580, 2012.
-
(2012)
Improving Neural Networks by Preventing Co-adaptation of Feature Detectors
-
-
Hinton, G.E.1
Srivastava, N.2
Krizhevsky, A.3
Sutskever, I.4
Salakhutdinov, R.R.5
-
26
-
-
84959197467
-
Mapping visual features to semantic profiles for retrieval in medical imaging
-
J. Hofmanninger and G. Langs. Mapping visual features to semantic profiles for retrieval in medical imaging. In CVPR, 2015.
-
(2015)
CVPR
-
-
Hofmanninger, J.1
Langs, G.2
-
29
-
-
84894065564
-
Automatic tuberculosis screening using chest radiographs
-
S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. K. Singh, S. Antani, et al. Automatic tuberculosis screening using chest radiographs. Medical Imaging, IEEE Transactions on, 2014.
-
(2014)
Medical Imaging, IEEE Transactions on
-
-
Jaeger, S.1
Karargyris, A.2
Candemir, S.3
Folio, L.4
Siegelman, J.5
Callaghan, F.6
Xue, Z.7
Palaniappan, K.8
Singh, R.K.9
Antani, S.10
-
30
-
-
84969972527
-
An empirical exploration of recurrent network architectures
-
R. Jozefowicz, W. Zaremba, and I. Sutskever. An empirical exploration of recurrent network architectures. In ICML 2015, 2015.
-
(2015)
ICML 2015
-
-
Jozefowicz, R.1
Zaremba, W.2
Sutskever, I.3
-
31
-
-
84946734827
-
Deep visual-semantic alignments for generating image descriptions
-
A. Karpathy and L. Fei-Fei. Deep visual-semantic alignments for generating image descriptions. In CVPR, 2015.
-
(2015)
CVPR
-
-
Karpathy, A.1
Fei-Fei, L.2
-
33
-
-
84959191227
-
Joint photo stream and blog post summarization and exploration
-
G. Kim, S. Moon, and L. Sigal. Joint photo stream and blog post summarization and exploration. In CVPR, 2015.
-
(2015)
CVPR
-
-
Kim, G.1
Moon, S.2
Sigal, L.3
-
34
-
-
84959189488
-
Ranking and retrieval of image sequences from multiple paragraph queries
-
G. Kim, S. Moon, and L. Sigal. Ranking and retrieval of image sequences from multiple paragraph queries. In CVPR, 2015.
-
(2015)
CVPR
-
-
Kim, G.1
Moon, S.2
Sigal, L.3
-
35
-
-
84911405209
-
Joint summarization of large-scale collections of web images and videos for storyline reconstruction
-
G. Kim, L. Sigal, and E. P. Xing. Joint summarization of large-scale collections of web images and videos for storyline reconstruction. In CVPR, 2014.
-
(2014)
CVPR
-
-
Kim, G.1
Sigal, L.2
Xing, E.P.3
-
37
-
-
84959196607
-
Associating neural word embeddings with deep image representations using fisher vectors
-
B. Klein, G. Lev, G. Sadeh, and L. Wolf. Associating neural word embeddings with deep image representations using fisher vectors. In CVPR, 2015.
-
(2015)
CVPR
-
-
Klein, B.1
Lev, G.2
Sadeh, G.3
Wolf, L.4
-
39
-
-
84887601544
-
Babytalk: Understanding and generating simple image descriptions
-
G. Kulkarni, V. Premraj, V. Ordonez, S. Dhar, S. Li, Y. Choi, A. C. Berg, and T. Berg. Babytalk: Understanding and generating simple image descriptions. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 35(12):2891-2903, 2013.
-
(2013)
Pattern Analysis and Machine Intelligence, IEEE Transactions on
, vol.35
, Issue.12
, pp. 2891-2903
-
-
Kulkarni, G.1
Premraj, V.2
Ordonez, V.3
Dhar, S.4
Li, S.5
Choi, Y.6
Berg, A.C.7
Berg, T.8
-
40
-
-
84911435155
-
Patch-based evaluation of image segmentation
-
C. Ledig, W. Shi, W. Bai, and D. Rueckert. Patch-based evaluation of image segmentation. In CVPR, 2014.
-
(2014)
CVPR
-
-
Ledig, C.1
Shi, W.2
Bai, W.3
Rueckert, D.4
-
42
-
-
85009931853
-
Microsoft coco: Common objects in context
-
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick. Microsoft coco: Common objects in context. In ECCV. 2014.
-
(2014)
ECCV
-
-
Lin, T.-Y.1
Maire, M.2
Belongie, S.3
Hays, J.4
Perona, P.5
Ramanan, D.6
Dollár, P.7
Zitnick, C.L.8
-
43
-
-
84943804979
-
Addressing the rare word problem in neural machine translation
-
M.-T. Luong, I. Sutskever, Q. V. Le, O. Vinyals, and W. Zaremba. Addressing the rare word problem in neural machine translation. In Proceedings of ACL, 2015.
-
(2015)
Proceedings of ACL
-
-
Luong, M.-T.1
Sutskever, I.2
Le, Q.V.3
Vinyals, O.4
Zaremba, W.5
-
44
-
-
85083950512
-
Explain images with multimodal recurrent neural networks
-
J. Mao, W. Xu, Y. Yang, J. Wang, and A. L. Yuille. Explain images with multimodal recurrent neural networks. In Proceedings of the International Conference on Learning Representations (ICLR), 2015.
-
(2015)
Proceedings of the International Conference on Learning Representations (ICLR)
-
-
Mao, J.1
Xu, W.2
Yang, Y.3
Wang, J.4
Yuille, A.L.5
-
45
-
-
84936769135
-
A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest x-rays
-
J. Melendez, B. van Ginneken, P. Maduskar, R. H. Philipsen, K. Reither, M. Breuninger, I. M. Adetifa, R. Maane, H. Ayles, C. Sanchez, et al. A novel multiple-instance learning-based approach to computer-aided detection of tuberculosis on chest x-rays. Medical Imaging, IEEE Transactions on, 2015.
-
(2015)
Medical Imaging, IEEE Transactions on
-
-
Melendez, J.1
Van Ginneken, B.2
Maduskar, P.3
Philipsen, R.H.4
Reither, K.5
Breuninger, M.6
Adetifa, I.M.7
Maane, R.8
Ayles, H.9
Sanchez, C.10
-
46
-
-
84911378353
-
Fully automated non-rigid segmentation with distance regularized level set evolution initialized and constrained by deep-structured inference
-
T. A. Ngo and G. Carneiro. Fully automated non-rigid segmentation with distance regularized level set evolution initialized and constrained by deep-structured inference. In CVPR, 2014.
-
(2014)
CVPR
-
-
Ngo, T.A.1
Carneiro, G.2
-
48
-
-
80555140075
-
Scikit-learn: Machine learning in Python
-
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 2011.
-
(2011)
Journal of Machine Learning Research
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
Vanderplas, J.11
Passos, A.12
Cournapeau, D.13
Brucher, M.14
Perrot, M.15
Duchesnay, E.16
-
49
-
-
84959224938
-
Image segmentation in twenty questions
-
C. Rupprecht, L. Peter, and N. Navab. Image segmentation in twenty questions. In CVPR, 2015.
-
(2015)
CVPR
-
-
Rupprecht, C.1
Peter, L.2
Navab, N.3
-
50
-
-
84911432319
-
Joint coupled-feature representation and coupled boosting for ad diagnosis
-
Y. Shi, H.-I. Suk, Y. Gao, and D. Shen. Joint coupled-feature representation and coupled boosting for ad diagnosis. In CVPR, 2014.
-
(2014)
CVPR
-
-
Shi, Y.1
Suk, H.-I.2
Gao, Y.3
Shen, D.4
-
51
-
-
84959244105
-
Interleaved text/image deep mining on a very largescale radiology database
-
H.-C. Shin, L. Lu, L. Kim, A. Seff, J. Yao, and R. M. Summers. Interleaved text/image deep mining on a very largescale radiology database. In CVPR, 2015.
-
(2015)
CVPR
-
-
Shin, H.-C.1
Lu, L.2
Kim, L.3
Seff, A.4
Yao, J.5
Summers, R.M.6
-
52
-
-
84989187487
-
Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation
-
H.-C. Shin, L. Lu, L. Kim, A. Seff, J. Yao, and R. M. Summers. Interleaved text/image deep mining on a large-scale radiology database for automated image interpretation. Journal of Machine Learning Research (JMLR), 2016.
-
(2016)
Journal of Machine Learning Research (JMLR)
-
-
Shin, H.-C.1
Lu, L.2
Kim, L.3
Seff, A.4
Yao, J.5
Summers, R.M.6
-
53
-
-
84933585162
-
Very deep convolutional networks for large-scale image recognition
-
K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, 2014.
-
(2014)
ArXiv Preprint ArXiv
, vol.1409
, pp. 1556
-
-
Simonyan, K.1
Zisserman, A.2
-
54
-
-
84964474107
-
Grounded compositional semantics for finding and describing images with sentences
-
R. Socher, A. Karpathy, Q. V. Le, C. D. Manning, and A. Y. Ng. Grounded compositional semantics for finding and describing images with sentences. Transactions of the Association for Computational Linguistics, 2014.
-
(2014)
Transactions of the Association for Computational Linguistics
-
-
Socher, R.1
Karpathy, A.2
Le, Q.V.3
Manning, C.D.4
Ng, A.Y.5
-
55
-
-
84911383253
-
Iterative multilevel mrf leveraging context and voxel information for brain tumour segmentation in mri
-
N. Subbanna, D. Precup, and T. Arbel. Iterative multilevel mrf leveraging context and voxel information for brain tumour segmentation in mri. In CVPR, 2014.
-
(2014)
CVPR
-
-
Subbanna, N.1
Precup, D.2
Arbel, T.3
-
56
-
-
84928547704
-
Sequence to sequence learning with neural networks
-
I. Sutskever, O. Vinyals, and Q. V. Le. Sequence to sequence learning with neural networks. In NIPS 2014.
-
(2014)
NIPS
-
-
Sutskever, I.1
Vinyals, O.2
Le, Q.V.3
-
57
-
-
85009900997
-
Learning the correlation between images and disease labels using ambiguous learning
-
T. Syeda-Mahmood, R. Kumar, and C. Compas. Learning the correlation between images and disease labels using ambiguous learning. In MICCAI. 2015.
-
(2015)
MICCAI.
-
-
Syeda-Mahmood, T.1
Kumar, R.2
Compas, C.3
-
58
-
-
84958772370
-
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. 2015.
-
(2015)
Going Deeper with Convolutions.
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
60
-
-
84973882730
-
Sequence to sequence-video to text
-
S. Venugopalan, M. Rohrbach, J. Donahue, R. Mooney, T. Darrell, and K. Saenko. Sequence to sequence-video to text. ICCV, 2015.
-
(2015)
ICCV
-
-
Venugopalan, S.1
Rohrbach, M.2
Donahue, J.3
Mooney, R.4
Darrell, T.5
Saenko, K.6
-
62
-
-
85009857480
-
-
K. Xu, J. Ba, R. Kiros, A. Courville, R. Salakhutdinov, R. Zemel, and Y. Bengio. Show, attend and tell: Neural image caption generation with visual attention. 2015.
-
(2015)
Show, attend and tell: Neural image caption generation with visual attention
-
-
Xu, K.1
Ba, J.2
Kiros, R.3
Courville, A.4
Salakhutdinov, R.5
Zemel, R.6
Bengio, Y.7
-
63
-
-
84944240722
-
Chest x-ray image view classification
-
Z. Xue, D. You, S. Candemir, S. Jaeger, S. Antani, L. R. Long, and G. R. Thoma. Chest x-ray image view classification. In Computer-Based Medical Systems (CBMS), 2015 IEEE 28th International Symposium on, 2015.
-
(2015)
Computer-Based Medical Systems (CBMS), 2015 IEEE 28th International Symposium on
-
-
Xue, Z.1
You, D.2
Candemir, S.3
Jaeger, S.4
Antani, S.5
Long, L.R.6
Thoma, G.R.7
-
64
-
-
84973884896
-
Describing videos by exploiting temporal structure
-
L. Yao, A. Torabi, K. Cho, N. Ballas, C. Pal, H. Larochelle, and A. Courville. Describing videos by exploiting temporal structure. ICCV, 2015.
-
(2015)
ICCV
-
-
Yao, L.1
Torabi, A.2
Cho, K.3
Ballas, N.4
Pal, C.5
Larochelle, H.6
Courville, A.7
|