[HTML][HTML] Deep learning reconstruction for improving the visualization of acute brain infarct on computed tomography
N Okimoto, K Yasaka, N Fujita, Y Watanabe… - Neuroradiology, 2024 - Springer
Purpose This study aimed to investigate the impact of deep learning reconstruction (DLR) on
acute infarct depiction compared with hybrid iterative reconstruction (Hybrid IR). Methods …
acute infarct depiction compared with hybrid iterative reconstruction (Hybrid IR). Methods …
Deep-learning reconstruction of high-resolution CT improves interobserver agreement for the evaluation of pulmonary fibrosis
A Hamada, K Yasaka, S Hatano… - Canadian …, 2024 - journals.sagepub.com
Objective: This study aimed to investigate whether deep-learning reconstruction (DLR)
improves interobserver agreement in the evaluation of honeycombing for patients with …
improves interobserver agreement in the evaluation of honeycombing for patients with …
[HTML][HTML] Deep learning reconstruction for high-resolution computed tomography images of the temporal bone: comparison with hybrid iterative reconstruction
N Fujita, K Yasaka, S Hatano, N Sakamoto… - Neuroradiology, 2024 - Springer
Purpose We investigated whether the quality of high-resolution computed tomography (CT)
images of the temporal bone improves with deep learning reconstruction (DLR) compared …
images of the temporal bone improves with deep learning reconstruction (DLR) compared …
Artificial intelligence iterative reconstruction in abdominal CT of patients with irregular arm positioning: a case-by-case evaluation
J Li, T Meng, G Zhang, X Yu, Z Lu… - Acta …, 2024 - journals.sagepub.com
Background Streak artifacts induced by irregular arm positioning have been an issue in
diagnosing the abdomen. Purpose To illustrate the risk of misdiagnosis in abdominal …
diagnosing the abdomen. Purpose To illustrate the risk of misdiagnosis in abdominal …