Known operator learning and hybrid machine learning in medical imaging—a review of the past, the present, and the future
In this article, we perform a review of the state-of-the-art of hybrid machine learning in
medical imaging. We start with a short summary of the general developments of the past in …
medical imaging. We start with a short summary of the general developments of the past in …
Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis
Artificial intelligence (AI) now enables automated interpretation of medical images. However,
AI's potential use for interventional image analysis remains largely untapped. This is …
AI's potential use for interventional image analysis remains largely untapped. This is …
Deep learning based image processing for robot assisted surgery: a systematic literature survey
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …
every sphere of life, and the healthcare domain is no exception. The enormous success of …
A fully differentiable framework for 2D/3D registration and the projective spatial transformers
Image-based 2D/3D registration is a critical technique for fluoroscopic guided surgical
interventions. Conventional intensity-based 2D/3D registration approa-ches suffer from a …
interventions. Conventional intensity-based 2D/3D registration approa-ches suffer from a …
A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Over the past decade, deep learning technologies have greatly advanced the field of
medical image registration. The initial developments, such as ResNet-based and U-Net …
medical image registration. The initial developments, such as ResNet-based and U-Net …
[HTML][HTML] Automatic registration with continuous pose updates for marker-less surgical navigation in spine surgery
F Liebmann, M von Atzigen, D Stütz, J Wolf… - Medical Image …, 2024 - Elsevier
Established surgical navigation systems for pedicle screw placement have been proven to
be accurate, but still reveal limitations in registration or surgical guidance. Registration of …
be accurate, but still reveal limitations in registration or surgical guidance. Registration of …
Intraoperative 2d/3d image registration via differentiable x-ray rendering
V Gopalakrishnan, N Dey… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Surgical decisions are informed by aligning rapid portable 2D intraoperative images (eg X-
rays) to a high-fidelity 3D preoperative reference scan (eg CT). However 2D/3D registration …
rays) to a high-fidelity 3D preoperative reference scan (eg CT). However 2D/3D registration …
Self-supervised 2D/3D registration for X-ray to CT image fusion
Abstract Deep Learning-based 2D/3D registration enables fast, robust, and accurate X-ray to
CT image fusion when large annotated paired datasets are available for training. However …
CT image fusion when large annotated paired datasets are available for training. However …
Artificial intelligence in pediatric surgery
AY Tsai, SR Carter, AC Greene - Seminars in pediatric surgery, 2024 - Elsevier
Artificial intelligence (AI) is rapidly changing the landscape of medicine and is already being
utilized in conjunction with medical diagnostics and imaging analysis. We hereby explore AI …
utilized in conjunction with medical diagnostics and imaging analysis. We hereby explore AI …
X-ray to DRR images translation for efficient multiple objects similarity measures in deformable model 3D/2D registration
B Aubert, T Cresson, JA de Guise… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The robustness and accuracy of the intensity-based 3D/2D registration of a 3D model on
planar X-ray image (s) is related to the quality of the image correspondences between the …
planar X-ray image (s) is related to the quality of the image correspondences between the …