Zobrazeno 1 - 10
of 76 446
pro vyhledávání: '"Dongmei An"'
Autor:
Wei Li, Junxia Chen, Yingjie Qin, Sisi Jiang, Xiuli Li, Heng Zhang, Cheng Luo, Qiyong Gong, Dong Zhou, Dongmei An
Publikováno v:
Epilepsia Open, Vol 9, Iss 6, Pp 2251-2262 (2024)
Abstract Objective Dystonic posturing (DP) is a common semiology in temporal lobe epilepsy (TLE). We aimed to explore cerebellar gradient alterations in functional connectivity in TLE patients with and without DP. Methods Resting‐state functional M
Externí odkaz:
https://doaj.org/article/0ba5bd6ec43a46ff9b942f02960bea34
Autor:
Yuming Li, Peiwen Liu, Qiuxing Lin, Wei Li, Yingying Zhang, Jinmei Li, Xiuli Li, Qiyong Gong, Heng Zhang, Luying Li, Xiutian Sima, Danyang Cao, Xiang Huang, Kailing Huang, Dong Zhou, Dongmei An
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 11, Iss 11, Pp 2932-2945 (2024)
Abstract Objective The single‐center retrospective cohort study investigated underlying pathogenic mechanisms and clinical significance of patients with temporal lobe epilepsy and hippocampal sclerosis (TLE‐HS), in the presence/absence of gray–
Externí odkaz:
https://doaj.org/article/04d4f7448b364c5dabdef52ed30904c5
Autor:
Yuchao Jiang, Wei Li, Jinmei Li, Xiuli Li, Heng Zhang, Xiutian Sima, Luying Li, Kang Wang, Qifu Li, Jiajia Fang, Lu Jin, Qiyong Gong, Dezhong Yao, Dong Zhou, Cheng Luo, Dongmei An
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Artificial intelligence provides an opportunity to try to redefine disease subtypes based on similar pathobiology. Using a machine-learning algorithm (Subtype and Stage Inference) with cross-sectional MRI from 296 individuals with focal epil
Externí odkaz:
https://doaj.org/article/72a436afbdce48cc95a6e2a702b94e45
Autor:
Yingying Zhang, Jiechuan Ren, Tianhua Yang, Weixi Xiong, Linyuan Qin, Dongmei An, Fayun Hu, Dong Zhou
Publikováno v:
Therapeutic Advances in Neurological Disorders, Vol 17 (2024)
Background: Paroxysmal kinesigenic dyskinesia (PKD) is a rare neurological disorder, characterized by attacks of involuntary movements triggered by sudden action. Variants in proline-rich transmembrane protein 2 ( PRRT2 ) are the most common genetic
Externí odkaz:
https://doaj.org/article/717a62dca8614d0c8a103a795062a628
Autor:
Wang, Lu, Yang, Fangkai, Zhang, Chaoyun, Lu, Junting, Qian, Jiaxu, He, Shilin, Zhao, Pu, Qiao, Bo, Huang, Ray, Qin, Si, Su, Qisheng, Ye, Jiayi, Zhang, Yudi, Lou, Jian-Guang, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
As AI continues to advance, there is a growing demand for systems that go beyond language-based assistance and move toward intelligent agents capable of performing real-world actions. This evolution requires the transition from traditional Large Lang
Externí odkaz:
http://arxiv.org/abs/2412.10047
Over the past decade, parity-time (PT) symmetry and anti-PT (APT) symmetry in various physical systems have been extensively studied, leading to significant experimental and theoretical advancements. However, physical systems that simultaneously exhi
Externí odkaz:
http://arxiv.org/abs/2412.03926
Cross-modal alignment is crucial for multimodal representation fusion due to the inherent heterogeneity between modalities. While Transformer-based methods have shown promising results in modeling inter-modal relationships, their quadratic computatio
Externí odkaz:
http://arxiv.org/abs/2412.00833
Autor:
Zhang, Chaoyun, He, Shilin, Qian, Jiaxu, Li, Bowen, Li, Liqun, Qin, Si, Kang, Yu, Ma, Minghua, Liu, Guyue, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
GUIs have long been central to human-computer interaction, providing an intuitive and visually-driven way to access and interact with digital systems. The advent of LLMs, particularly multimodal models, has ushered in a new era of GUI automation. The
Externí odkaz:
http://arxiv.org/abs/2411.18279
Recent advances in multimodal models have demonstrated impressive capabilities in object recognition and scene understanding. However, these models often struggle with precise spatial localization - a critical capability for real-world applications.
Externí odkaz:
http://arxiv.org/abs/2411.18270
Autor:
Kan, Zhehan, Zhang, Ce, Liao, Zihan, Tian, Yapeng, Yang, Wenming, Xiao, Junyuan, Li, Xu, Jiang, Dongmei, Wang, Yaowei, Liao, Qingmin
Large Vision-Language Model (LVLM) systems have demonstrated impressive vision-language reasoning capabilities but suffer from pervasive and severe hallucination issues, posing significant risks in critical domains such as healthcare and autonomous s
Externí odkaz:
http://arxiv.org/abs/2411.12713