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 …

[HTML][HTML] Fast and low-dose medical imaging generation empowered by hybrid deep-learning and iterative reconstruction

S Liao, Z Mo, M Zeng, J Wu, Y Gu, G Li, G Quan… - Cell Reports …, 2023 - cell.com
Fast and low-dose reconstructions of medical images are highly desired in clinical routines.
We propose a hybrid deep-learning and iterative reconstruction (hybrid DL-IR) framework …

Generative adversarial CT volume extrapolation for robust small-to-large field of view registration

A Puiu, S Reaungamornrat, T Pheiffer, LM Itu, C Suciu… - Applied Sciences, 2022 - mdpi.com
Intraoperative Computer Tomographs (iCT) provide near real time visualizations which can
be registered with high-quality preoperative images to improve the confidence of surgical …

[PDF][PDF] FIŞA DE VERIFICARE A ÎNDEPLINIRII STANDARDELOR UNIVERSITĂȚII

ATI Departamentul - Bulletin of the Transilvania University of Brasov, 2017 - unitbv.ro
F04-PS6. 2-01/ed. 3, rev. 3 access journal ISSN: 1584-9341 10. ARA Gheorghiu–Influența
vârstei pacientelor și a contraceptivelor orale asupra evoluției diferitelor variabile în …