Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Xiaocong, Lian"'
Autor:
Chang Liu, Yan Zhao, Zhe Zheng, Xuexin Yu, Shen Lin, Xiaoting Su, Minghui Kung, Juntong Zeng, Mengnan Shi, Runchen Sun, Shangyuan Yuan, Xiaocong Lian, Xiangyang Ji
Publikováno v:
BMJ Health & Care Informatics, Vol 31, Iss 1 (2024)
Background Current approaches for initial coronary artery disease (CAD) assessment rely on pretest probability (PTP) based on risk factors and presentations, with limited performance. Infrared thermography (IRT), a non-contact technology that detects
Externí odkaz:
https://doaj.org/article/af6f2c40d0714e4ebfd3d4f027c4b761
Autor:
Juntong Zeng, Jianzhun Shao, Shen Lin, Hongchang Zhang, Xiaoting Su, Xiaocong Lian, Yan Zhao, Xiangyang Ji, Zhe Zheng
Publikováno v:
Journal of the American Medical Informatics Association. 29:1722-1732
Objective Warfarin anticoagulation management requires sequential decision-making to adjust dosages based on patients’ evolving states continuously. We aimed to leverage reinforcement learning (RL) to optimize the dynamic in-hospital warfarin dosin
Publikováno v:
Optics Express. 31:15461
Imaging through turbid medium is a long pursuit in many research fields, such as biomedicine, astronomy and automatic vehicle, in which the reflection matrix-based method is a promising solution. However, the epi-detection geometry suffers from round
Publikováno v:
IEEE Transactions on Computational Imaging. 5:556-569
In this paper, we present a novel image acquisition framework capable of reconstructing high bit-depth images using an array of low bit-depth scalar quantizers. Our key contribution is a codesign of pixel quantization and reconstruction in image acqu
Autor:
Chaolun, Wang, Qiran, Zou, Zhiheng, Cheng, Jietao, Chen, Chen, Luo, Fang, Liang, Chunhua, Cai, Hengchang, Bi, Xiaocong, Lian, Xiangyang, Ji, Qiubo, Zhang, Litao, Sun, Xing, Wu
Publikováno v:
Nanotechnology. 33(8)
Controllable tailoring and understanding the phase-structure relationship of the 1T phase two-dimensional (2D) materials are critical for their applications in nanodevices. The
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 27:1874-1885
Convolutional neural networks (CNNs) are widely used and have achieved great success in computer vision and speech processing applications. However, deploying the large-scale CNN model in the embedded system is subject to the constraints of computati
Publikováno v:
GlobalSIP
Convolutional neural networks (CNNs) have been widely used in computer vision applications and achieved great success. However, large-scale CNN models usually consume a lot of computing and memory resources, which makes it difficult for them to be de
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:958-971
Since the development of ultrahigh-definition video, the huge bandwidth and power requirements of external memory have hindered the development of video encoder applications. Power constraints have become a particularly serious problem for portable v
Publikováno v:
RCAR
The High Efficiency Video Coding (HEVC) standard is able to provide efficient video encoding for broadcast mobile applications. HEVC employs the Coding Tree Unit (CTU) to improve intra coding performance. The partition of each CTU is determined by ca
Publikováno v:
Optics letters. 44(6)
Imaging beyond the memory effect (ME) is critical to seeing through the scattering media. Methods proposed before have suffered from invasive point spread function measurement or the availability of prior information of the imaging targets. In this L