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pro vyhledávání: '"Pickhardt, Perry J"'
Autor:
Hou, Benjamin, Lee, Sung-Won, Lee, Jung-Min, Koh, Christopher, Xiao, Jing, Pickhardt, Perry J., Summers, Ronald M.
Purpose: To evaluate the performance of an automated deep learning method in detecting ascites and subsequently quantifying its volume in patients with liver cirrhosis and ovarian cancer. Materials and Methods: This retrospective study included contr
Externí odkaz:
http://arxiv.org/abs/2406.15979
Autor:
Cao, Weiguo, Pomeroy, Marc J., Liang, Zhengrong, Gao, Yongfeng, Shi, Yongyi, Tan, Jiaxing, Han, Fangfang, Wang, Jing, Ma, Jianhua, Lu, Hongbin, Abbasi, Almas F., Pickhardt, Perry J.
The elasticity of soft tissues has been widely considered as a characteristic property to differentiate between healthy and vicious tissues and, therefore, motivated several elasticity imaging modalities, such as Ultrasound Elastography, Magnetic Res
Externí odkaz:
http://arxiv.org/abs/2205.14029
Publikováno v:
In Academic Radiology November 2024 31(11):4538-4547
Autor:
Huber, Florian A., Bunnell, Katherine M., Garrett, John W., Flores, Efren J., Summers, Ronald M., Pickhardt, Perry J., Bredella, Miriam A.
Publikováno v:
In Bone September 2024 186
Autor:
Zhu, Yingying, Tang, Youbao, Tang, Yuxing, Elton, Daniel C., Lee, Sungwon, Pickhardt, Perry J., Summers, Ronald M.
Current deep learning based segmentation models often generalize poorly between domains due to insufficient training data. In real-world clinical applications, cross-domain image analysis tools are in high demand since medical images from different d
Externí odkaz:
http://arxiv.org/abs/2007.07230
Calcified plaque in the aorta and pelvic arteries is associated with coronary artery calcification and is a strong predictor of heart attack. Current calcified plaque detection models show poor generalizability to different domains (ie. pre-contrast
Externí odkaz:
http://arxiv.org/abs/2005.11384
The vertebral levels of the spine provide a useful coordinate system when making measurements of plaque, muscle, fat, and bone mineral density. Correctly classifying vertebral levels with high accuracy is challenging due to the similar appearance of
Externí odkaz:
http://arxiv.org/abs/2001.10503