Artificial intelligence and machine learning for medical imaging: A technology review

A Barragán-Montero, U Javaid, G Valdés, D Nguyen… - Physica Medica, 2021 - Elsevier
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 …

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 …

[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools

O Diaz, K Kushibar, R Osuala, A Linardos, L Garrucho… - Physica medica, 2021 - Elsevier
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 …

Bringing MRI to low‐and middle‐income countries: directions, challenges and potential solutions

S Murali, H Ding, F Adedeji, C Qin… - NMR in …, 2024 - Wiley Online Library
The global disparity of magnetic resonance imaging (MRI) is a major challenge, with many
low‐and middle‐income countries (LMICs) experiencing limited access to MRI. The reasons …

[HTML][HTML] Object detection and tracking on UAV RGB videos for early extraction of grape phenotypic traits

M Ariza-Sentís, H Baja, S Vélez, J Valente - Computers and Electronics in …, 2023 - Elsevier
Grapevine phenoty** is the process of determining the physical properties (eg, size,
shape, and number) of grape bunches and berries. Grapevine phenoty** information …

[Књига][B] Introduction to biomedical imaging

A Webb - 2022 - books.google.com
Introduction to BiomedicalImaging A state-of-the-art exploration of the foundations and latest
developments in biomedical imaging technology In the newly revised second edition of …

Artificial intelligence in endodontics: Fundamental principles, workflow, and tasks

SAH Ourang, F Sohrabniya… - International …, 2024 - Wiley Online Library
The integration of artificial intelligence (AI) in healthcare has seen significant advancements,
particularly in areas requiring image interpretation. Endodontics, a specialty within dentistry …

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 …

Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography

D De Santis, T Polidori, G Tremamunno, C Rucci… - La radiologia …, 2023 - Springer
Purpose To perform a comprehensive intraindividual objective and subjective image quality
evaluation of coronary CT angiography (CCTA) reconstructed with deep learning image …

The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review

M Zhang, S Gu, Y Shi - Complex & intelligent systems, 2022 - Springer
Conventional reconstruction techniques, such as filtered back projection (FBP) and iterative
reconstruction (IR), which have been utilised widely in the image reconstruction process of …