Artificial intelligence and machine learning for medical imaging: A technology review
Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …
of disruptive technical advances and impressive experimental results, notably in the field of …
Dental cone beam CT: An updated review
T Kaasalainen, M Ekholm, T Siiskonen, M Kortesniemi - Physica Medica, 2021 - Elsevier
Cone beam computed tomography (CBCT) is a diverse 3D x-ray imaging technique that has
gained significant popularity in dental radiology in the last two decades. CBCT overcomes …
gained significant popularity in dental radiology in the last two decades. CBCT overcomes …
[HTML][HTML] Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits
Grapevine phenotyping is the process of determining the physical properties (eg, size,
shape, and number) of grape bunches and berries. Grapevine phenotyping information …
shape, and number) of grape bunches and berries. Grapevine phenotyping information …
[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
[HTML][HTML] The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review
Conventional reconstruction techniques, such as filtered back projection (FBP) and iterative
reconstruction (IR), which have been utilised widely in the image reconstruction process of …
reconstruction (IR), which have been utilised widely in the image reconstruction process of …
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 …
Imaging in interventional radiology: 2043 and beyond
Since its inception in the early 20th century, interventional radiology (IR) has evolved
tremendously and is now a distinct clinical discipline with its own training pathway. The …
tremendously and is now a distinct clinical discipline with its own training pathway. The …
Radiation safety for cardiovascular computed tomography imaging in paediatric cardiology: a joint expert consensus document of the EACVI, ESCR, AEPC, and ESPR
M Francone, A Gimelli, RPJ Budde… - European Heart …, 2022 - academic.oup.com
Children with congenital and acquired heart disease may be exposed to relatively high
lifetime cumulative doses of ionizing radiation from necessary medical invasive and non …
lifetime cumulative doses of ionizing radiation from necessary medical invasive and non …
Dual-energy computed tomography to photon counting computed tomography: emerging technological innovations
Tremendous strides have been made in imaging, from two-dimensional projection
radiography to modern cross-sectional three-and fourdimensional high-resolution imaging …
radiography to modern cross-sectional three-and fourdimensional high-resolution imaging …
[HTML][HTML] Deep learning image reconstruction algorithm: Impact on image quality in coronary computed tomography angiography
Purpose To perform a comprehensive intraindividual objective and subjective image quality
evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image …
evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image …