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 …
A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery
J Minnema, A Ernst, M van Eijnatten… - Dentomaxillofacial …, 2022 - academic.oup.com
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical
interventions and has therefore become an increasingly popular treatment modality in …
interventions and has therefore become an increasingly popular treatment modality in …
Learned iterative reconstruction
J Adler - Handbook of Mathematical Models and Algorithms in …, 2021 - Springer
Learned iterative reconstruction methods have recently emerged as a powerful tool to solve
inverse problems. These deep learning techniques for image reconstruction achieve …
inverse problems. These deep learning techniques for image reconstruction achieve …
[PDF][PDF] Jordi Minnema, Anne Ernst, Maureen van Eijnatten, Ruben Pauwels, Tymour Forouzanfar
KJ Batenburg, J Wolff - VU Research Portal, 2022 - research.vu.nl
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical
interventions and has therefore become an increasingly popular treatment modality in …
interventions and has therefore become an increasingly popular treatment modality in …