Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks - researchr publication related

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Ankita Joshi, Yi Hong. Diffeomorphic Image Registration Using Lipschitz Continuous Residual Networks. In Ender Konukoglu, Bjoern H. Menze, Archana Venkataraman, Christian F. Baumgartner, Qi Dou 0001, Shadi Albarqouni, editors, International Conference on Medical Imaging with Deep Learning, MIDL 2022, 6-8 July 2022, Zurich, Switzerland. Volume 172 of Proceedings of Machine Learning Research, pages 605-617, PMLR, 2022. [doi]

The following publications are possibly variants of this publication:

R2Net: Efficient and flexible diffeomorphic image registration using Lipschitz continuous residual networksAnkita Joshi, Yi Hong. mia, 89:102917, October 2023. [doi]

Efficient Diffeomorphic Image Registration using Multi-Scale Dual-Phased LearningAnkita Joshi, Yi Hong. isbi 2022: 1-5 [doi]

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