Fetching the paper…
Reading the bibliography…
Robust and accurate alignment of multimodal medical images is a very challenging task, which however is very useful for many clinical applications.
Generative Adversarial Networks
Goodfellow, I.J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., Bengio, Y.: · 2014
Earlier work this paper cites.
Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer
Siddiqui, M.M., Rais-Bahrami, S., Turkbey, B., George, A.K., Rothwax, J., Shakir, N., Okoro, C., Raskolnikov, D., Parnes, H.L., Linehan, W.M., Merino, M.J., Simon, R.M., Choyke, P.L., Wood, B.J., Pinto, P.A.: · 2015
Earlier work this paper cites.
Learning to compare image patches via convolutional neural networks
Zagoruyko, S., Komodakis, N.: · 2015
Earlier work this paper cites.
Jaderberg, M., Simonyan, K., Zisserman, A., Kavukcuoglu, K.: · 2015
Earlier work this paper cites.
Learning-based multimodal image registration for prostate cancer radiation therapy
Cao, X., Gao, Y., Yang, J., Wu, G., Shen, D.: · 2016
Earlier work this paper cites.
Deep similarity learning for multimodal medical images
Cheng, X., Zhang, L., Zheng, Y.: · 2016
Cited alongside, same era.
A deep metric for multimodal registration
Simonovsky, M., Gutiérrez-Becker, B., Mateus, D., Navab, N., Komodakis, N.: · 2016
Cited alongside, same era.
A CNN Regression Approach for Real-Time 2d/3d Registration
Miao, S., Wang, Z.J., Liao, R.: · 2016
Cited alongside, same era.
Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
Cited alongside, same era.
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network
de Vos, B.D., Berendsen, F.F., Viergever, M.A., Staring, M., Išgum, I.: · 2017
Cited alongside, same era.
Label-driven weakly-supervised learning for multimodal deformable image registration
Hu, Y., Modat, M., Gibson, E., Ghavami, N., Bonmati, E., Moore, C.M., Emberton, M., Noble, J.A., Barratt, D.C., Vercauteren, T.: · 2017
Later among the works it cites.
Arjovsky, M., Chintala, S., Bottou, L.: · 2017
Later among the works it cites.
Automatic differentiation in pytorch
Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., Lerer, A.: · 2017
Later among the works it cites.
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity
Cao, X., Yang, J., Wang, L., Xue, Z., Wang, Q., Shen, D.: · 2018
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…