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[HTML][HTML] A review of three-dimensional medical image visualization
R JohnsonChris - Health Data Science, 2022 - spj.science.org
Importance. Medical images are essential for modern medicine and an important research
subject in visualization. However, medical experts are often not aware of the many …
subject in visualization. However, medical experts are often not aware of the many …
Enhancement of vascular structures in 3D and 2D angiographic images
T Jerman, F Pernuš, B Likar… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
A number of imaging techniques are being used for diagnosis and treatment of vascular
pathologies like stenoses, aneurysms, embolisms, malformations and remodelings, which …
pathologies like stenoses, aneurysms, embolisms, malformations and remodelings, which …
[HTML][HTML] Vessel density map** of small cerebral vessels on 3D high resolution black blood MRI
Small cerebral blood vessels are largely inaccessible to existing clinical in vivo imaging
technologies. This study aims to present a novel analysis pipeline for vessel density …
technologies. This study aims to present a novel analysis pipeline for vessel density …
Beyond Frangi: an improved multiscale vesselness filter
T Jerman, F Pernuš, B Likar… - Medical imaging 2015 …, 2015 - spiedigitallibrary.org
Vascular diseases are among the top three causes of death in the developed countries.
Effective diagnosis of vascular pathologies from angiographic images is therefore very …
Effective diagnosis of vascular pathologies from angiographic images is therefore very …
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
Purpose Lung cancer is the leading cause of cancer mortality in the US, responsible for
more deaths than breast, prostate, colon and pancreas cancer combined and large …
more deaths than breast, prostate, colon and pancreas cancer combined and large …
Motion estimation and correction in cardiac CT angiography images using convolutional neural networks
T Lossau, H Nickisch, T Wissel, R Bippus… - … Medical Imaging and …, 2019 - Elsevier
Cardiac motion artifacts frequently reduce the interpretability of coronary computed
tomography angiography (CCTA) images and potentially lead to misinterpretations or …
tomography angiography (CCTA) images and potentially lead to misinterpretations or …
Newly developed artificial intelligence algorithm for COVID-19 pneumonia: utility of quantitative CT texture analysis for prediction of favipiravir treatment effect
Y Ohno, K Aoyagi, K Arakita, Y Doi, M Kondo… - Japanese journal of …, 2022 - Springer
Purpose Using CT findings from a prospective, randomized, open-label multicenter trial of
favipiravir treatment of COVID-19 patients, the purpose of this study was to compare the …
favipiravir treatment of COVID-19 patients, the purpose of this study was to compare the …
A high precision crack classification system using multi-layered image processing and deep belief learning
Road surfaces experience fatigue stress and loading, which often lead to cracks on the
surface. The cracks might cause serious damage, and therefore, early detection can reduce …
surface. The cracks might cause serious damage, and therefore, early detection can reduce …
Machine learning for lung CT texture analysis: Improvement of inter-observer agreement for radiological finding classification in patients with pulmonary diseases
Y Ohno, K Aoyagi, D Takenaka, T Yoshikawa… - European journal of …, 2021 - Elsevier
Purpose To evaluate the capability ML-based CT texture analysis for improving
interobserver agreement and accuracy of radiological finding assessment in patients with …
interobserver agreement and accuracy of radiological finding assessment in patients with …
Blob enhancement and visualization for improved intracranial aneurysm detection
T Jerman, F Pernuš, B Likar… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Several researches have established that the sensitivity of visual assessment of smaller
intracranial aneurysms is not satisfactory. Computer-aided diagnosis based on volume …
intracranial aneurysms is not satisfactory. Computer-aided diagnosis based on volume …