Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Greta S. P. Mok"'
Autor:
Han Jiang, Yu Du, Zhonglin Lu, Bingjie Wang, Yonghua Zhao, Ruibing Wang, Hong Zhang, Greta S. P. Mok
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Purpose 123I-Ioflupane SPECT is an effective tool for the diagnosis and progression assessment of Parkinson’s disease (PD). Radiomics and deep learning (DL) can be used to track and analyze the underlying image texture and features to pred
Externí odkaz:
https://doaj.org/article/594c6d38fdbc43efa23d665bcd31aa01
Autor:
Cheng Gao, Qingfu Wang, Yuanfu Ding, Cheryl H. T. Kwong, Jinwei Liu, Beibei Xie, Jianwen Wei, Simon M. Y. Lee, Greta S. P. Mok, Ruibing Wang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Membrane-camouflaged nanomedicines often suffer from reduced efficacy caused by membrane protein disintegration and spatial disorder caused by separation and reassembly of membrane fragments during the coating process. Here we show that intr
Externí odkaz:
https://doaj.org/article/d71736888ff445cc83f9543563210aeb
Autor:
Ya-Ting Jan, Pei-Shan Tsai, Wen-Hui Huang, Ling-Ying Chou, Shih-Chieh Huang, Jing-Zhe Wang, Pei-Hsuan Lu, Dao-Chen Lin, Chun-Sheng Yen, Ju-Ping Teng, Greta S. P. Mok, Cheng-Ting Shih, Tung-Hsin Wu
Publikováno v:
Insights into Imaging, Vol 14, Iss 1, Pp 1-10 (2023)
Abstract Background To develop an artificial intelligence (AI) model with radiomics and deep learning (DL) features extracted from CT images to distinguish benign from malignant ovarian tumors. Methods We enrolled 149 patients with pathologically con
Externí odkaz:
https://doaj.org/article/1384111336284d9faefb12e058bd8cb4
Autor:
Roberto Massari, Greta S. P. Mok
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/879f340b04c241a994f803533e46fbeb
Autor:
Gefei Chen, Zhonglin Lu, Han Jiang, Ali Afshar-Oromieh, Axel Rominger, Kuangyu Shi, Greta S. P. Mok
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundPersonalized dosimetry for Lu-177-PSMA treatment requires multiple-time-point SPECT/CT scans to calculate time-integrated activity (TIA). This study evaluates two-time-point (TTP) methods for TIA calculation for kidneys and tumors.MethodsA
Externí odkaz:
https://doaj.org/article/85544314231e4647b74751acca53eb92
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Partition model (PM) for Y-90 microsphere radioembolization is limited in providing 3D dosimetrics. Voxel-S-Values (VSV) method has good agreement with Monte Carlo (MC) simulations for 3D absorbed dose conversion. We propose a new VSV method
Externí odkaz:
https://doaj.org/article/4dac49bb6027498695346c9e49cae3e6
Autor:
Wenbo Huang, Greta S. P. Mok
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
PurposeHigh resolution and sensitivity brain SPECT is promising for the accurate diagnosis of Alzheimer's disease (AD) and Parkinson's disease (PD). Multi-pinhole (MPH) collimators with a good performance in imaging small field-of-view (FOV) could be
Externí odkaz:
https://doaj.org/article/d6218cd16961417eb0013b7f69d17e60
Autor:
Yu Du, Han Jiang, Ching-Ni Lin, Zhengyu Peng, Jingzhang Sun, Pai-Yi Chiu, Guang-Uei Hung, Greta S. P. Mok
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
BackgroundAttenuation correction (AC) is an important correction method to improve the quantification accuracy of dopamine transporter (DAT) single photon emission computed tomography (SPECT). Chang's method was developed for AC (Chang-AC) when CT-ba
Externí odkaz:
https://doaj.org/article/e92b9cd8f5cc44819fd0654e602120e4
Autor:
Chen‐Xiong Hsu, Kuan‐Heng Lin, Pei‐Wei Shueng, Yen‐Wen Wu, Wei‐Ta Tsai, Chiu‐Han Chang, Hui‐Ju Tien, Shan‐Ying Wang, Tung‐Hsin Wu, Greta S. P. Mok
Publikováno v:
Thoracic Cancer, Vol 13, Iss 22, Pp 3114-3123 (2022)
Abstract Objective The incidence of radiation pneumonitis (RP) has a highly linear relationship with low‐dose lung volume. We previously established a volume‐based algorithm (VBA) method to improve low‐dose lung volume in radiotherapy (RT). Thi
Externí odkaz:
https://doaj.org/article/638afa842d404251a013fa8f0b178e92
Autor:
Jingzhang Sun, Bang-Hung Yang, Chien-Ying Li, Yu Du, Yi-Hwa Liu, Tung-Hsin Wu, Greta S. P. Mok
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
PurposeDeep learning-based denoising is promising for myocardial perfusion (MP) SPECT. However, conventional convolutional neural network (CNN)-based methods use fixed-sized convolutional kernels to convolute one region within the receptive field at
Externí odkaz:
https://doaj.org/article/b351c15a560147908163b284b980d766