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Recently, interest in MR-only treatment planning using synthetic CTs (synCTs) has grown rapidly in radiation therapy.
An interactive technique for three-dimensional image registration: validation for pet, spect, mri and ct brain studies
U. Pietrzyk, K. Herholz, G. Fink, A. Jacobs, R. Mielke, I. Slansky, M. Würker, and W.-D. Heiss · 1994
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The dynamic representation of scenes
R. A. Rensink · 2000
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2006
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Alternative methods for attenuation correction for pet images in mr-pet scanners
E. R. Kops and H. Herzog · 2007
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Ct substitute derived from mri sequences with ultrashort echo time
A. Johansson, M. Karlsson, and T. Nyholm · 2011
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A new method for determining the optimal ct threshold for extracting the upper airway
H. Nakano, K. Mishima, Y. Ueda, A. Matsushita, H. Suga, Y. Miyawaki, T. Mano, Y. Mori, and Y. Ueyama · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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The application of two-level attention models in deep convolutional neural network for fine-grained image classification
T. Xiao, Y. Xu, K. Yang, J. Zhang, Y. Peng, and Z. Zhang · 2015
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Attention to scale: Scale-aware semantic image segmentation
L.-C. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille · 2016
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Tree-to-sequence attentional neural machine translation
A. Eriguchi, K. Hashimoto, and Y. Tsuruoka · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Estimating ct image from mri data using 3d fully convolutional networks
D. Nie, X. Cao, Y. Gao, L. Wang, and D. Shen · 2016
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S. Zagoruyko and N. Komodakis · 2016
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Learning deep features for discriminative localization
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. Torralba · 2016
Cited alongside, same era.
Deep mr to ct synthesis using unpaired data
J. M. Wolterink, A. M. Dinkla, M. H. Savenije, P. R. Seevinck, C. A. van den Berg, and I. Išgum · 2017
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Attention-gan for object transfiguration in wild images
X. Chen, C. Xu, X. Yang, and D. Tao · 2018
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Mr-only brain radiation therapy: Dosimetric evaluation of synthetic cts generated by a dilated convolutional neural network
A. M. Dinkla, J. M. Wolterink, M. Maspero, M. H. Savenije, J. J. Verhoeff, E. Seravalli, I. Išgum, P. R. Seevinck, and C. A. van den Berg · 2018
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Generating synthetic cts from magnetic resonance images using generative adversarial networks
H. Emami, M. Dong, S. P. Nejad-Davarani, and C. K. Glide-Hurst · 2018
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Unsupervised attention-guided image-to-image translation
Y. A. Mejjati, C. Richardt, J. Tompkin, D. Cosker, and K. I. Kim · 2018
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Mr-based synthetic ct generation using a deep convolutional neural network method
X. Han · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
A structured self-attentive sentence embedding
Z. Lin, M. Feng, C. N. d. Santos, M. Yu, B. Xiang, B. Zhou, and Y. Bengio · 2017
Cited alongside, same era.
Least squares generative adversarial networks
X. Mao, Q. Li, H. Xie, R. Y. Lau, Z. Wang, and S. Paul Smolley · 2017
Cited alongside, same era.
Medical image synthesis with context-aware generative adversarial networks
D. Nie, R. Trullo, J. Lian, C. Petitjean, S. Ruan, Q. Wang, and D. Shen · 2017
Cited alongside, same era.
Multi-step power consumption forecasting in thailand using dual-stage attentional lstm
C. Siridhipakul and P. Vateekul · 2019
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Attention-based recurrent neural network for multistep-ahead prediction of process performance
M. M. Aliabadi, H. Emami, M. Dong, and Y. Huang · 2020
Closest in time.
Spa-gan: Spatial attention gan for image-to-image translation
H. Emami, M. M. Aliabadi, M. Dong, and R. Chinnam · 2020
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Frea-unet: Frequency-aware u-net for modality transfer
H. Emami, Q. Liu, and M. Dong · 2020
Closest in time.