A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …
registration over the past decade. The initial developments, such as regression-based and U …
A review of deep learning-based deformable medical image registration
The alignment of images through deformable image registration is vital to clinical
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
applications (eg, atlas creation, image fusion, and tumor targeting in image-guided …
Deep federated learning for autonomous driving
Autonomous driving is an active research topic in both academia and industry. However,
most of the existing solutions focus on improving the accuracy by training learnable models …
most of the existing solutions focus on improving the accuracy by training learnable models …
Coarse-to-fine reasoning for visual question answering
Bridging the semantic gap between image and question is an important step to improve the
accuracy of the Visual Question Answering (VQA) task. However, most of the existing VQA …
accuracy of the Visual Question Answering (VQA) task. However, most of the existing VQA …
Cross-resolution distillation for efficient 3D medical image registration
Images captured in clinic such as MRI scans are usually in 3D formats with high spatial
resolutions. Existing learning-based models for medical image registration consume large …
resolutions. Existing learning-based models for medical image registration consume large …
Self-distilled hierarchical network for unsupervised deformable image registration
Unsupervised deformable image registration benefits from progressive network structures
such as Pyramid and Cascade. However, existing progressive networks only consider the …
such as Pyramid and Cascade. However, existing progressive networks only consider the …
Recursive decomposition network for deformable image registration
Deformation decomposition serves as a good solution for deformable image registration
when the deformation is large. Current deformation decomposition methods can be …
when the deformation is large. Current deformation decomposition methods can be …
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration
This paper introduces a novel top-down representation approach for deformable image
registration which estimates the deformation field by capturing various short-and long-range …
registration which estimates the deformation field by capturing various short-and long-range …
Self-supervised depth estimation in laparoscopic image using 3D geometric consistency
Depth estimation is a crucial step for image-guided intervention in robotic surgery and
laparoscopic imaging system. Since per-pixel depth ground truth is difficult to acquire for …
laparoscopic imaging system. Since per-pixel depth ground truth is difficult to acquire for …
Graph flow: Cross-layer graph flow distillation for dual efficient medical image segmentation
With the development of deep convolutional neural networks, medical image segmentation
has achieved a series of breakthroughs in recent years. However, high-performance …
has achieved a series of breakthroughs in recent years. However, high-performance …