Multimodal Image Registration with Deep Context Reinforcement Learning

By Kai Ma, Jiangping Wang, Vivek Kumar Singh, Birgi Tamersoy, Yao-Jen Chang, A. Wimmer, Terrence Chen. 2017

80 citations recorded by the source corpus.

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A review of multimodal image matching: Methods and applications (2021, methodology): “and can handle both rigid [91,92,94] and non-rigid [93] image reg-”
Partial Policy-Based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images (2018, background): “RL has also shown promising outcome for automatic alignment of multimodal data [30].”
Deformable Image Registration Using Cue-aware Deep Regression Network (2018, methodology): “For linear registration, CNN is used to align X-ray images in [48] and deep reinforcement learning is applied to align the CT and depth images in [49].”
Deep learning in medical image registration: a survey (2019, methodology): “[71] used a reinforcement learning approach to perform the rigid registration of MR/CT chest volumes.”
Deep learning in medical image registration: a review (2019, unknown): “[92] Spine, Cardiac 3D-3D CT-CBCT Rigid [101] Chest, Abdomen 2D-2D CT-Depth Image Rigid”
Transfer Learning in Deep Reinforcement Learning: A Survey (2020, background): “RL techniques have shown to help in many healthcare tasks, including dynamic treatment regimes [156], [157], automatic medical diagnosis [158], [159], health resource scheduling [160], [161], and drug discovery and development, [162], [163] etc.”