Zobrazeno 1 - 10
of 8 006
pro vyhledávání: '"Taylor, Paul"'
Medical image quality assessment (MIQA) is essential for reliable medical image analysis. While deep learning has shown promise in this field, current models could be misled by spurious correlations learned from data and struggle with out-of-distribu
Externí odkaz:
http://arxiv.org/abs/2410.08118
Anterior uveitis, a common form of eye inflammation, can lead to permanent vision loss if not promptly diagnosed. Monitoring this condition involves quantifying inflammatory cells in the anterior chamber (AC) of the eye, which can be captured using A
Externí odkaz:
http://arxiv.org/abs/2406.17577
Autor:
Piao, Chengzhe, Zhu, Taiyu, Wang, Yu, Baldeweg, Stephanie E, Taylor, Paul, Georgiou, Pantelis, Sun, Jiahao, Wang, Jun, Li, Kezhi
Newly diagnosed Type 1 Diabetes (T1D) patients often struggle to obtain effective Blood Glucose (BG) prediction models due to the lack of sufficient BG data from Continuous Glucose Monitoring (CGM), presenting a significant "cold start" problem in pa
Externí odkaz:
http://arxiv.org/abs/2406.15346
Autor:
Reynolds, Richard C., Glen, Daniel R., Chen, Gang, Saad, Ziad S., Cox, Robert W., Taylor, Paul A.
FMRI data are noisy, complicated to acquire, and typically go through many steps of processing before they are used in a study or clinical practice. Being able to visualize and understand the data from the start through the completion of processing,
Externí odkaz:
http://arxiv.org/abs/2406.05248
Publikováno v:
Mechanical Systems and Signal processing, Volume 220 , 1 November 2024, 111712
Flutter flight test involves the evaluation of the airframes aeroelastic stability by applying artificial excitation on the aircraft lifting surfaces. The subsequent responses are captured and analyzed to extract the frequencies and damping character
Externí odkaz:
http://arxiv.org/abs/2403.11521
Autor:
Piao, Chengzhe, Zhu, Taiyu, Baldeweg, Stephanie E, Taylor, Paul, Georgiou, Pantelis, Sun, Jiahao, Wang, Jun, Li, Kezhi
Accurate prediction of future blood glucose (BG) levels can effectively improve BG management for people living with diabetes, thereby reducing complications and improving quality of life. The state of the art of BG prediction has been achieved by le
Externí odkaz:
http://arxiv.org/abs/2402.16230
False discovery rate (FDR) is commonly used for correction for multiple testing in neuroimaging studies. However, when using two-tailed tests, making directional inferences about the results can lead to vastly inflated error rate, even approaching 10
Externí odkaz:
http://arxiv.org/abs/2401.03554
Autor:
Wu, Jinge, Kim, Yunsoo, Keller, Eva C., Chow, Jamie, Levine, Adam P., Pontikos, Nikolas, Ibrahim, Zina, Taylor, Paul, Williams, Michelle C., Wu, Honghan
This paper proposes one of the first clinical applications of multimodal large language models (LLMs) as an assistant for radiologists to check errors in their reports. We created an evaluation dataset from real-world radiology datasets (including X-
Externí odkaz:
http://arxiv.org/abs/2312.13103