Deep learning in medical image registration
Image registration is a fundamental task in multiple medical image analysis applications.
With the advent of deep learning, there have been significant advances in algorithmic …
With the advent of deep learning, there have been significant advances in algorithmic …
Application of artificial intelligence in surgery
Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …
advancements in imaging, navigation, and robotic intervention. In this article, we review the …
Breaking the dilemma of medical image-to-image translation
L Kong, C Lian, D Huang, Y Hu… - Advances in Neural …, 2021 - proceedings.neurips.cc
Abstract Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that
dominate the field of medical image-to-image translation. However, neither modes are ideal …
dominate the field of medical image-to-image translation. However, neither modes are ideal …
Affine medical image registration with coarse-to-fine vision transformer
Affine registration is indispensable in a comprehensive medical image registration pipeline.
However, only a few studies focus on fast and robust affine registration algorithms. Most of …
However, only a few studies focus on fast and robust affine registration algorithms. Most of …
Unsupervised 3D end-to-end medical image registration with volume tweening network
3D medical image registration is of great clinical importance. However, supervised learning
methods require a large amount of accurately annotated corresponding control points (or …
methods require a large amount of accurately annotated corresponding control points (or …
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 …
Accurate point cloud registration with robust optimal transport
This work investigates the use of robust optimal transport (OT) for shape matching.
Specifically, we show that recent OT solvers improve both optimization-based and deep …
Specifically, we show that recent OT solvers improve both optimization-based and deep …
Swin-voxelmorph: A symmetric unsupervised learning model for deformable medical image registration using swin transformer
Y Zhu, S Lu - International Conference on Medical Image Computing …, 2022 - Springer
Deformable medical image registration is widely used in medical image processing with the
invertible and one-to-one mapping between images. While state-of-the-art image …
invertible and one-to-one mapping between images. While state-of-the-art image …
[HTML][HTML] A review of deep learning-based three-dimensional medical image registration methods
Medical image registration is a vital component of many medical procedures, such as image-
guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better …
guided radiotherapy (IGRT), as it allows for more accurate dose-delivery and better …
[HTML][HTML] ProsRegNet: A deep learning framework for registration of MRI and histopathology images of the prostate
Magnetic resonance imaging (MRI) is an increasingly important tool for the diagnosis and
treatment of prostate cancer. However, interpretation of MRI suffers from high inter-observer …
treatment of prostate cancer. However, interpretation of MRI suffers from high inter-observer …