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The establishment of image correspondence through robust image registration is critical to many clinical tasks such as image fusion, organ atlas creation, and tumor growth monitoring, and is a very challenging problem.
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3d–2d image registration for target localization in spine surgery: investigation of similarity metrics providing robustness to content mismatch
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Deep learning
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He, K., Zhang, X., Ren, S., and Sun, J. (2016) · 2016
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Simonovsky, M., Gutiérrez-Becker, B., Mateus, D., Navab, N., and Komodakis, N. (2016) · 2016
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Wang, G. (2016) · 2016
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Scalable high-performance image registration framework by unsupervised deep feature representations learning
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An automated method for generating training sets for deep learning based image registration
Ito, M. and Ino, F. (2018) · 2018
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Fast predictive image registration
Yang, X., Kwitt, R., and Niethammer, M. (2016) · 2016
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Deformable image registration based on similarity-steered cnn regression
Cao, X., Yang, J., Zhang, J., Nie, D., Kim, M., Wang, Q., and Shen, D. (2017) · 2017
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End-to-end unsupervised deformable image registration with a convolutional neural network
de Vos, B. D., Berendsen, F. F., Viergever, M. A., Staring, M., and Išgum, I. (2017) · 2017
Cited alongside, same era.
Deep deformable registration: Enhancing accuracy by fully convolutional neural net
Ghosal, S. and Ray, N. (2017) · 2017
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Image-to-image translation with conditional adversarial networks
Isola, P., Zhu, J.-Y., Zhou, T., and Efros, A. A. (2017) · 2017
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Robust non-rigid registration through agent-based action learning
Krebs, J., Mansi, T., Delingette, H., Zhang, L., Ghesu, F. C., Miao, S., Maier, A. K., Ayache, N., Liao, R., and Kamen, A. (2017) · 2017
Cited alongside, same era.
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Cnn driven sparse multi-level b-spline image registration
Jiang, P. and Shackleford, J. A. (2018) · 2018
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Gans for medical image analysis
Kazeminia, S., Baur, C., Kuijper, A., van Ginneken, B., Navab, N., Albarqouni, S., and Mukhopadhyay, A. (2018) · 2018
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Zero shot learning for multi-modal real time image registration
Kori, A., Kumari, K., and Krishnamurthi, G. (2018) · 2018
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Faim–a convnet method for unsupervised 3d medical image registration
Kuang, D. and Schmah, T. (2018) · 2018
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Non-rigid image registration using self-supervised fully convolutional networks without training data
Li, H. and Fan, Y. (2018) · 2018
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Applications of deep learning to mri images: a survey
Liu, J., Pan, Y., Li, M., Chen, Z., Tang, L., Lu, C., and Wang, J. (2018) · 2018
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Respiratory motion correction for free-breathing 3d abdominal mri using cnn-based image registration: a feasibility study
Lv, J., Yang, M., Zhang, J., and Wang, X. (2018) · 2018
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Elastic registration of medical images with gans
Mahapatra, D. (2018) · 2018
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Joint registration and segmentation of xray images using generative adversarial networks
Mahapatra, D., Ge, Z., Sedai, S., and Chakravorty, R. (2018) · 2018
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Lstm spatial co-transformer networks for registration of 3d fetal us and mr brain images
Matthew, J., Hajnal, J. V., Rueckert, D., and Schnabel, J. A. (2018) · 2018
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Nazib, A., Fookes, C., and Perrin, D. (2018) · 2018
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Phase recovery and holographic image reconstruction using deep learning in neural networks
Rivenson, Y., Zhang, Y., Günaydın, H., Teng, D., and Ozcan, A. (2018) · 2018
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Real-time deep registration with geodesic loss
Salehi, S. S. M., Khan, S., Erdogmus, D., and Gholipour, A. (2018) · 2018
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Semi-supervised deep metrics for image registration
Sedghi, A., Luo, J., Mehrtash, A., Pieper, S., Tempany, C. M., Kapur, T., Mousavi, P., and Wells III, W. M. (2018) · 2018
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Unsupervised deformable image registration with fully connected generative neural network
Sheikhjafari, A., Noga, M., Punithakumar, K., and Ray, N. (2018) · 2018
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An unsupervised network for fast microscopic image registration
Shu, C., Chen, X., Xie, Q., and Han, H. (2018) · 2018
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Learning rigid image registration - utilizing convolutional neural networks for medical image registration
Sloan, J. M., Goatman, K. A., and Siebert, J. P. (2018) · 2018
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Linear and deformable image registration with 3d convolutional neural networks
Stergios, C., Mihir, S., Maria, V., Guillaume, C., Marie-Pierre, R., Stavroula, M., and Nikos, P. (2018) · 2018
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Deformable mri-ultrasound registration using 3d convolutional neural network
Sun, L. and Zhang, S. (2018) · 2018
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Towards robust ct-ultrasound registration using deep learning methods
Sun, Y., Moelker, A., Niessen, W. J., and van Walsum, T. (2018) · 2018
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Adversarial image registration with application for mr and trus image fusion
Yan, P., Xu, S., Rastinehad, A. R., and Wood, B. J. (2018) · 2018
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Low dose ct image denoising using a generative adversarial network with wasserstein distance and perceptual loss
Yang, Q., Yan, P., Zhang, Y., Yu, H., Shi, Y., Mou, X., Kalra, M. K., Zhang, Y., Sun, L., and Wang, G. (2018) · 2018
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Deep compressive macroscopic fluorescence lifetime imaging
Yao, R., Ochoa, M., Intes, X., and Yan, P. (2018) · 2018
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Inverse-consistent deep networks for unsupervised deformable image registration
Zhang, J. (2018) · 2018
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Pairwise domain adaptation module for cnn-based 2-d/3-d registration
Zheng, J., Miao, S., Wang, Z. J., and Liao, R. (2018) · 2018
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Image reconstruction by domain-transform manifold learning
Zhu, B., Liu, J. Z., Cauley, S. F., Rosen, B. R., and Rosen, M. S. (2018) · 2018
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Conv2warp: An unsupervised deformable image registration with continuous convolution and warping
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