In the medical field, datasets are mostly integrated across sites due to difficult data acquisition and insufficient data at a single site. The domain shift problem caused by the …
S Mori, R Hirai, Y Sakata, M Koto… - Physical and Engineering …, 2023 - Springer
We sought to accelerate 2D/3D image registration computation time using image synthesis with a deep neural network (DNN) to generate digitally reconstructed radiographic (DRR) …
S De Rosa, E Bignami, V Bellini… - Anesthesia & …, 2022 - journals.lww.com
Artificial intelligence (AI) algorithms, particularly deep learning, are automatic and sophisticated methods that recognize complex patterns in imaging data providing high …
MM Lin, MC Shiue, SYY NCU - The 2023 Annual Report National Center … - ncts.ntu.edu.tw
The NCTS Topical Program Scientific computing is an interdisciplinary field that involves mathematical theories, computational algorithms, and domain knowledge. While pursuing …
S Kavousinejad - Journal of Dental School, Shahid Beheshti University … - journals.sbmu.ac.ir
Objectives In the field of medical and dental image analysis, the development of advanced deep learning architectures for precise classification tasks has become essential. The …