A CNN Regression Approach for Real-Time 2D/3D Registration (English)
- New search for: Miao, S.
- New search for: Wang, Z. J.
- New search for: Liao, R.
- New search for: Miao, S.
- New search for: Wang, Z. J.
- New search for: Liao, R.
In:
IEEE transactions on medical imaging
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35
, 5
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1352-1363
;
2016
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ISSN:
- Article (Journal) / Print
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Title:A CNN Regression Approach for Real-Time 2D/3D Registration
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Contributors:
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Published in:IEEE transactions on medical imaging ; 35, 5 ; 1352-1363
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Publisher:
- New search for: IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS
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Publication date:2016-01-01
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Size:12 pages
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ISSN:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 616.0757
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Classification:
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Table of contents – Volume 35, Issue 5
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1153
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Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New TechniqueGreenspan, H. / van Ginneken, B. / Summers, R. M. et al. | 2016
- 1153
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Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New TechniqueGreenspan, Hayit / van Ginneken, Bram / Summers, Ronald M. et al. | 2016
- 1160
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Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional NetworksSetio, Arnaud Arindra Adiyoso / Ciompi, Francesco / Litjens, Geert / Gerke, Paul / Jacobs, Colin / van Riel, Sarah J. / Wille, Mathilde Marie Winkler / Naqibullah, Matiullah / Sanchez, Clara I. / van Ginneken, Bram et al. | 2016
- 1170
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Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View AggregationRoth, Holger R. / Lu, Le / Liu, Jiamin / Yao, Jianhua / Seff, Ari / Cherry, Kevin / Kim, Lauren / Summers, Ronald M. et al. | 2016
- 1182
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Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural NetworksDou, Qi / Chen, Hao / Yu, Lequan / Zhao, Lei / Qin, Jing / Wang, Defeng / Mok, Vincent CT / Shi, Lin / Heng, Pheng-Ann et al. | 2016
- 1196
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Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology ImagesSirinukunwattana, Korsuk / Raza, Shan E Ahmed / Tsang, Yee-Wah / Snead, David R. J. / Cree, Ian A. / Rajpoot, Nasir M. et al. | 2016
- 1207
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Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural NetworkAnthimopoulos, Marios / Christodoulidis, Stergios / Ebner, Lukas / Christe, Andreas / Mougiakakou, Stavroula et al. | 2016
- 1217
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Marginal Space Deep Learning: Efficient Architecture for Volumetric Image ParsingGhesu, Florin C. / Krubasik, Edward / Georgescu, Bogdan / Singh, Vivek / Zheng, Yefeng / Hornegger, Joachim / Comaniciu, Dorin et al. | 2016
- 1229
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Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion SegmentationBrosch, Tom / Tang, Lisa Y. W. / Yoo, Youngjin / Li, David K. B. / Traboulsee, Anthony / Tam, Roger et al. | 2016
- 1240
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Brain Tumor Segmentation Using Convolutional Neural Networks in MRI ImagesPereira, Sergio / Pinto, Adriano / Alves, Victor / Silva, Carlos A. et al. | 2016
- 1252
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Automatic Segmentation of MR Brain Images With a Convolutional Neural NetworkMoeskops, Pim / Viergever, Max A. / Mendrik, Adrienne M. / de Vries, Linda S. / Benders, Manon J. N. L. / Isgum, Ivana et al. | 2016
- 1262
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Combining Generative and Discriminative Representation Learning for Lung CT Analysis With Convolutional Restricted Boltzmann Machinesvan Tulder, Gijs / de Bruijne, Marleen et al. | 2016
- 1273
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Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Imagesvan Grinsven, Mark J. J. P. / van Ginneken, Bram / Hoyng, Carel B. / Theelen, Thomas / Sanchez, Clara I. et al. | 2016
- 1285
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Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer LearningShin, Hoo-Chang / Roth, Holger R. / Gao, Mingchen / Lu, Le / Xu, Ziyue / Nogues, Isabella / Yao, Jianhua / Mollura, Daniel / Summers, Ronald M. et al. | 2016
- 1299
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Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?Tajbakhsh, Nima / Shin, Jae Y. / Gurudu, Suryakanth R. / Hurst, R. Todd / Kendall, Christopher B. / Gotway, Michael B. / Liang, Jianming et al. | 2016
- 1313
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AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology ImagesAlbarqouni, Shadi / Baur, Christoph / Achilles, Felix / Belagiannis, Vasileios / Demirci, Stefanie / Navab, Nassir et al. | 2016
- 1322
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Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk ScoringKallenberg, Michiel / Petersen, Kersten / Nielsen, Mads / Ng, Andrew Y. / Diao, Pengfei / Igel, Christian / Vachon, Celine M. / Holland, Katharina / Winkel, Rikke Rass / Karssemeijer, Nico et al. | 2016
- 1332
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Multi-Instance Deep Learning: Discover Discriminative Local Anatomies for Bodypart RecognitionYan, Zhennan / Zhan, Yiqiang / Peng, Zhigang / Liao, Shu / Shinagawa, Yoshihisa / Zhang, Shaoting / Metaxas, Dimitris N. / Zhou, Xiang Sean et al. | 2016
- 1344
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q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI ScansGolkov, Vladimir / Dosovitskiy, Alexey / Sperl, Jonathan I. / Menzel, Marion I. / Czisch, Michael / Samann, Philipp / Brox, Thomas / Cremers, Daniel et al. | 2016
- 1352
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A CNN Regression Approach for Real-Time 2D/3D RegistrationMiao, Shun / Wang, Z. Jane / Liao, Rui et al. | 2016
- 1364
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BSN 2016 Body Sensor Networks Conference| 2016
- 1365
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2016 IEEE Nuclear Science Symposium & Medical Imaging Conference| 2016
- 1366
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IEEE NIH 2016| 2016
- 1367
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ISBI 2017| 2016
- 1368
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Wireless Health| 2016
- C1
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Table of Contents| 2016
- C2
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IEEE Transactions on Medical Imaging publication information| 2016
- C3
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IEEE Transactions on Medical Imaging information for authors| 2016