AI in medical imaging informatics: current challenges and future directions
This paper reviews state-of-the-art research solutions across the spectrum of medical
imaging informatics, discusses clinical translation, and provides future directions for …
imaging informatics, discusses clinical translation, and provides future directions for …
Automated segmentation of tissues using CT and MRI: a systematic review
Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …
body using computed tomography and magnetic resonance imaging has been rapidly …
Automatic cardiac disease assessment on cine-MRI via time-series segmentation and domain specific features
Cardiac magnetic resonance imaging improves on diagnosis of cardiovascular diseases by
providing images at high spatiotemporal resolution. Manual evaluation of these time-series …
providing images at high spatiotemporal resolution. Manual evaluation of these time-series …
Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function
Objectives This study sought to develop a fully automated framework for cardiac function
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …
Machine learning of three-dimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac MR imaging study
Purpose To determine if patient survival and mechanisms of right ventricular failure in
pulmonary hypertension could be predicted by using supervised machine learning of three …
pulmonary hypertension could be predicted by using supervised machine learning of three …
Improving the generalizability of convolutional neural network-based segmentation on CMR images
Background: Convolutional neural network (CNN) based segmentation methods provide an
efficient and automated way for clinicians to assess the structure and function of the heart in …
efficient and automated way for clinicians to assess the structure and function of the heart in …
Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours
A Suinesiaputra, DA Bluemke, BR Cowan… - Journal of …, 2015 - Springer
Background High reproducibility of LV mass and volume measurement from cine
cardiovascular magnetic resonance (CMR) has been shown within single centers. However …
cardiovascular magnetic resonance (CMR) has been shown within single centers. However …
MinION™ nanopore sequencing of environmental metagenomes: a synthetic approach
Background Environmental metagenomic analysis is typically accomplished by assigning
taxonomy and/or function from whole genome sequencing or 16S amplicon sequences …
taxonomy and/or function from whole genome sequencing or 16S amplicon sequences …
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
Atlases encode valuable anatomical and functional information from a population. In this
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …
work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high …
Radiomics signatures of cardiovascular risk factors in cardiac MRI: results from the UK biobank
Cardiovascular magnetic resonance (CMR) radiomics is a novel technique for advanced
cardiac image phenotyping by analyzing multiple quantifiers of shape and tissue texture. In …
cardiac image phenotyping by analyzing multiple quantifiers of shape and tissue texture. In …