Zobrazeno 1 - 10
of 4 991
pro vyhledávání: '"ZHOU, Juan"'
Autor:
Dong, Zijian, Li, Ruilin, Wu, Yilei, Nguyen, Thuan Tinh, Chong, Joanna Su Xian, Ji, Fang, Tong, Nathanael Ren Jie, Chen, Christopher Li Hsian, Zhou, Juan Helen
We introduce Brain-JEPA, a brain dynamics foundation model with the Joint-Embedding Predictive Architecture (JEPA). This pioneering model achieves state-of-the-art performance in demographic prediction, disease diagnosis/prognosis, and trait predicti
Externí odkaz:
http://arxiv.org/abs/2409.19407
Gradient descent methods are fundamental first-order optimization algorithms in both Euclidean spaces and Riemannian manifolds. However, the exact gradient is not readily available in many scenarios. This paper proposes a novel inexact Riemannian gra
Externí odkaz:
http://arxiv.org/abs/2409.11181
We introduce Scaffold Prompt Tuning (ScaPT), a novel prompt-based framework for adapting large-scale functional magnetic resonance imaging (fMRI) pre-trained models to downstream tasks, with high parameter efficiency and improved performance compared
Externí odkaz:
http://arxiv.org/abs/2408.10567
Autor:
Luo, Luyang, Wu, Mingxiang, Li, Mei, Xin, Yi, Wang, Qiong, Vardhanabhuti, Varut, Chu, Winnie CW, Li, Zhenhui, Zhou, Juan, Rajpurkar, Pranav, Chen, Hao
Breast magnetic resonance imaging (MRI) is the imaging technique with the highest sensitivity for detecting breast cancer and is routinely used for women at high risk. Despite the comprehensive multiparametric protocol of breast MRI, existing artific
Externí odkaz:
http://arxiv.org/abs/2408.12606
Autor:
Lin, Min-Qiang, Lian, Chen-Lu, Zhou, Ping, Lei, Jian, Wang, Jun, Hua, Li, Zhou, Juan, Wu, San-Gang
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 11, p e21931 (2020)
BackgroundThe application of China’s big data sector in cancer research is just the beginning. In recent decades, more and more Chinese scholars have used the Surveillance, Epidemiology, and End Results (SEER) database for clinical cancer research.
Externí odkaz:
https://doaj.org/article/6156d2c7e1db4214a91460e18ff7df89
Autor:
Song, Dan, Zhang, Xuanpu, Zhou, Juan, Nie, Weizhi, Tong, Ruofeng, Kankanhalli, Mohan, Liu, An-An
Image-based virtual try-on aims to synthesize a naturally dressed person image with a clothing image, which revolutionizes online shopping and inspires related topics within image generation, showing both research significance and commercial potentia
Externí odkaz:
http://arxiv.org/abs/2311.04811
In representation learning, regression has traditionally received less attention than classification. Directly applying representation learning techniques designed for classification to regression often results in fragmented representations in the la
Externí odkaz:
http://arxiv.org/abs/2309.16633
Under the framework of network-based neurodegeneration, brain functional connectome (FC)-based Graph Neural Networks (GNN) have emerged as a valuable tool for the diagnosis and prognosis of neurodegenerative diseases such as Alzheimer's disease (AD).
Externí odkaz:
http://arxiv.org/abs/2307.00858
Publikováno v:
Phys. Rev. A 107, 063703 (2023)
We study chiral and nonreciprocal single-photon scattering in a chiral-giant-molecule waveguide-QED system. Here, the giant molecule consists of two coupled giant atoms, which interact with two linear waveguides, forming a four-port quantum device. W
Externí odkaz:
http://arxiv.org/abs/2306.10957
Reconstructing human vision from brain activities has been an appealing task that helps to understand our cognitive process. Even though recent research has seen great success in reconstructing static images from non-invasive brain recordings, work o
Externí odkaz:
http://arxiv.org/abs/2305.11675