[HTML][HTML] The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective
Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …
It is believed that image-based navigation will increase the access to reproducible, safe, and …
[HTML][HTML] Deep learning for detecting and locating myocardial infarction by electrocardiogram: A literature review
P Xiong, SMY Lee, G Chan - Frontiers in cardiovascular medicine, 2022 - frontiersin.org
Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia,
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …
and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and …
[HTML][HTML] 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 …
Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions
Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …
from medical images with reliability, accuracy, and speed, which is already transforming …
COVID-19 in CXR: From detection and severity scoring to patient disease monitoring
This work estimates the severity of pneumonia in COVID-19 patients and reports the findings
of a longitudinal study of disease progression. It presents a deep learning model for …
of a longitudinal study of disease progression. It presents a deep learning model for …
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 …
Basic of machine learning and deep learning in imaging for medical physicists
L Manco, N Maffei, S Strolin, S Vichi, L Bottazzi… - Physica Medica, 2021 - Elsevier
The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …
Deep learning on image stitching with multi-viewpoint images: A survey
N Yan, Y Mei, L Xu, H Yu, B Sun, Z Wang… - Neural Processing …, 2023 - Springer
Multi-viewpoint image stitching aims to stitch images taken from different viewpoints into
pictures with a broader field of view. The stitched images are subject to artifacts, geometric …
pictures with a broader field of view. The stitched images are subject to artifacts, geometric …
Image compositing for segmentation of surgical tools without manual annotations
LC Garcia-Peraza-Herrera, L Fidon… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Producing manual, pixel-accurate, image segmentation labels is tedious and time-
consuming. This is often a rate-limiting factor when large amounts of labeled images are …
consuming. This is often a rate-limiting factor when large amounts of labeled images are …
Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration
Purpose Fluoroscopy is the standard imaging modality used to guide hip surgery and is
therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the …
therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the …