Accès ouvert
2026
preprint
OpenAlex
Mai Phuong Ho, Nikita K. Husein, Lei Fan, Rachel Visontay et autres
Large-scale neuroimaging studies increasingly pool data across multiple cohorts, scanners, and acquisition protocols, introducing technical between-cohort variation that must be addressed before meaningful biological inference can be drawn. Existing harmonisation methods, particularly ComBat-based approaches, have been widely adopted for this purpose. However, …
au, us
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Yingying Tang, XiuKun Zhang, Lei Fan, Chengyuan Li et autres
AIMS: To explore the association of endocrine hormones and hypothalamic neuropeptides fluctuations within normal level with obesity in women of childbearing age. MATERIALS AND METHODS: Laboratory data of women in childbearing age with normal levels of endocrine hormones and hypothalamic neuropeptides in …
cn
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
Yizhi Zhang, Lei Fan, Zhulin Tao, Donglin Di et autres
Universal, transferable whole-slide image (WSI) representations are central to computational pathology. Incorporating multiple markers (e.g., immunohistochemistry, IHC) alongside H&E enriches H&E-based features with diverse, biologically meaningful information. However, progress is limited by the scarcity of well-aligned multi-stain datasets. Inter-stain misalignment shifts corresponding …
Accès ouvert
2025
review
OpenAlex
Min Zhang, Jiashuai Chu, Chang Xiu, Jing Bai et autres
BACKGROUND: This study aims to systematically assess the efficacy of Zhizi Qinggan Decoction combined with methimidazole tablets for the treatment of hyperthyroidism through a systematic review and meta-analysis, to provide evidence for clinical practice. METHODS: A computer search of both Chinese and …
cn
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su et autres
Multimodal pathology-genomic analysis has become increasingly prominent in cancer survival prediction. However, existing studies mainly utilize multi-instance learning to aggregate patch-level features, neglecting the information loss of contextual and hierarchical details within pathology images. Furthermore, the disparity in data granularity and dimensionality …
cn, au
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
Yingying Tang, Lei Fan, Xiu-kun Zhang, Chengyuan Li et autres
cn
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Kun Wang, Donglin Di, Tonghua Su, Lei Fan
Diffusion models are highly regarded for their controllability and the diversity of images they generate. However, class-conditional generation methods based on diffusion models often focus on more common categories. In large-scale fine-grained image generation, issues of semantic information entanglement and insufficient detail …
cn, au
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su et autres
Multimodal pathology-genomic analysis has become increasingly prominent in cancer survival prediction. However, existing studies mainly utilize multi-instance learning to aggregate patch-level features, neglecting the information loss of contextual and hierarchical details within pathology images. Furthermore, the disparity in data granularity and dimensionality …
2025
article
OpenAlex
А.Ю. КОРОЛЮК, И.С. ЧУПИНА, Y. T. Liang, А.А. ЗВЕРЕВ et autres
Исследованы закономерности распределения семейств сосудистых растений на градиенте аридности с учетом их роли в составе и структуре травяных сообществ Внутренней Азии. На основании формализованной обработки 6256 геоботанических описаний определены связи между степенью аридности (индекс Торнтвейта), разнообразием и активностью видов 35 ведущих семейств. …
cn
(code pays fourni par la source)
Accès ouvert
2025
article
OpenAlex
Shiyun Cui, Yiyang Xu, Qiuyu Wu, Weici Liu et autres
Biliary tract cancer (BTC) has greatly influenced patient survival for years. Nowadays, immunotherapy represents a promising breakthrough and proteomics is one of powerful technologies in biomarker research. We collected plasma and tissue samples from 37 patients with advanced BTC and 92 proteins …
cn
(code pays fourni par la source)
2025
article
OpenAlex
Bin Zhou, Qingran Li, Mengchan Su, Ping Sung Liao et autres
cn
(code pays fourni par la source)
2025
article
OpenAlex
Shudong Sun, Baoyi Han, Guohui Ren, Lei Fan et autres
cn
(code pays fourni par la source)