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Registration-recent-paper

2022

[MIA] Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas.

[MIA] Deformable MR-CT image registration using an unsupervised, dual-channel network for neurosurgical guidance.

[MIA] Dual-stream pyramid registration network.

[MIA] Atlas-ISTN: Joint segmentation, registration and atlas construction with image-and-spatial transformer networks.

2021

[MIA] A hybrid, image-based and biomechanics-based registration approach to markerless intraoperative nodule localization during video-assisted thoracoscopic surgery.

[MIA] Real-time multimodal image registration with partial intraoperative point-set data.

[MIA] Leveraging unsupervised image registration for discovery of landmark shape descriptor.

[MIA] Weakly-supervised learning of multi-modal features for regularised iterative descent in 3D image registration.

[MIA] Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.

[MIA] Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution.

[MIA] A novel approach to 2D/3D registration of X-ray images using Grangeat's relation.

[MIA] Biomechanically constrained non-rigid MR-TRUS prostate registration using deep learning based 3D point cloud matching.

[MIA] Fracture reduction planning and guidance in orthopaedic trauma surgery via multi-body image registration.

[MIA] CNN-based lung CT registration with multiple anatomical constraints.

[MIA] End-to-end multimodal image registration via reinforcement learning.

[MIA] Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images. [MIA] CycleMorph: Cycle consistent unsupervised deformable image registration.

[MIA] Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction.

[MIA] Deformation analysis of surface and bronchial structures in intraoperative pneumothorax using deformable mesh registration.

[MIA] Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks.

[MIA] Image registration: Maximum likelihood, minimum entropy and deep learning.

[MIA] ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate.

[MIA] 3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction.

[MIA] A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set.

[MIA] Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration.

2020

[MIA] Hubless keypoint-based 3D deformable groupwise registration.

[MIA] Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.

[MIA] Groupwise registration with global-local graph shrinkage in atlas construction.

[MIA] SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors.