Zobrazeno 1 - 10
of 442
pro vyhledávání: '"LI, Keyu"'
In this paper, we present an innovative particle system characterized by moderate interactions, designed to accurately approximate kinetic flocking models that incorporate singular interaction forces and local alignment mechanisms. We establish the e
Externí odkaz:
http://arxiv.org/abs/2404.13644
Autor:
Li, Keyu, Gu, Hanxue, Colglazier, Roy, Lark, Robert, Hubbard, Elizabeth, French, Robert, Smith, Denise, Zhang, Jikai, McCrum, Erin, Catanzano, Anthony, Cao, Joseph, Waldman, Leah, Mazurowski, Maciej A., Alman, Benjamin
Scoliosis, a prevalent condition characterized by abnormal spinal curvature leading to deformity, requires precise assessment methods for effective diagnosis and management. The Cobb angle is a widely used scoliosis quantification method that measure
Externí odkaz:
http://arxiv.org/abs/2403.12115
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Transformer is an important part of the power system, and its operation status is related to the safety and stability of the power system. In order to effectively improve the recognition accuracy of abnormal transformer heat, an improved YOL
Externí odkaz:
https://doaj.org/article/1195cc16fc98435587c96aa29f8894c6
Autor:
Jiang, Ziyang, Liu, Yiling, Klein, Michael H., Aloui, Ahmed, Ren, Yiman, Li, Keyu, Tarokh, Vahid, Carlson, David
Causal mediation analysis (CMA) is a powerful method to dissect the total effect of a treatment into direct and mediated effects within the potential outcome framework. This is important in many scientific applications to identify the underlying mech
Externí odkaz:
http://arxiv.org/abs/2306.07918
Robotic ultrasound (US) systems have shown great potential to make US examinations easier and more accurate. Recently, various machine learning techniques have been proposed to realize automatic US image interpretation for robotic US acquisition task
Externí odkaz:
http://arxiv.org/abs/2305.09169
Autor:
Liu, Yiling, Dong, Juncheng, Jiang, Ziyang, Aloui, Ahmed, Li, Keyu, Klein, Hunter, Tarokh, Vahid, Carlson, David
Unsupervised domain adaptation (UDA) is a technique used to transfer knowledge from a labeled source domain to a different but related unlabeled target domain. While many UDA methods have shown success in the past, they often assume that the source a
Externí odkaz:
http://arxiv.org/abs/2302.02009
A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images. To fill this gap, we propose Causal Multi-task Deep Ensemble (CMDE), a novel framework t
Externí odkaz:
http://arxiv.org/abs/2301.11351
This paper presents a closed-loop magnetic manipulation framework for robotic transesophageal echocardiography (TEE) acquisitions. Different from previous work on intracorporeal robotic ultrasound acquisitions that focus on continuum robot control, w
Externí odkaz:
http://arxiv.org/abs/2301.06388
This paper aims to tackle the issues on unavailable or insufficient clinical US data and meaningful annotation to enable bone segmentation and registration for US-guided spinal surgery. While the US is not a standard paradigm for spinal surgery, the
Externí odkaz:
http://arxiv.org/abs/2301.01940
Autor:
Hu, Yihan, Yang, Jiazhi, Chen, Li, Li, Keyu, Sima, Chonghao, Zhu, Xizhou, Chai, Siqi, Du, Senyao, Lin, Tianwei, Wang, Wenhai, Lu, Lewei, Jia, Xiaosong, Liu, Qiang, Dai, Jifeng, Qiao, Yu, Li, Hongyang
Modern autonomous driving system is characterized as modular tasks in sequential order, i.e., perception, prediction, and planning. In order to perform a wide diversity of tasks and achieve advanced-level intelligence, contemporary approaches either
Externí odkaz:
http://arxiv.org/abs/2212.10156