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Profil bibliographique

Lei Fan

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

84Publications signalées
3316Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Magnesium in Health and DiseaseBerberine and alkaloids researchTraumatic Brain Injury and Neurovascular DisturbancesParathyroid Disorders and TreatmentsBiological Stains and Phytochemicals

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Unified Multi-Cohort Harmonisation and Normative Modelling of Neuroimaging Data via Hierarchical GAMLSS

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)

0 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 article OpenAlex

Effect of Normal Level Endocrine Hormones and Hypothalamic Neuropeptides on Obesity in Women of Childbearing Age

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)

0 citations Journal of Obesity
Accès ouvert 2025 preprint OpenAlex

Cross-Stain Contrastive Learning for Paired Immunohistochemistry and Histopathology Slide Representation Learning

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 …

0 citations arXiv (Cornell University)
Accès ouvert 2025 review OpenAlex

The effect of Zhizi Qinggan decoction in treating hyperthyroidism: A systematic review and meta-analysis

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)

0 citations Medicine
Accès ouvert 2025 conference-paper OpenAlex

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance

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)

10 citations
Accès ouvert 2025 conference-paper OpenAlex

EFDiT: Efficient Fine-grained Image Generation Using Diffusion Transformer Models

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)

0 citations
Accès ouvert 2025 preprint OpenAlex

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance

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 …

1 citation arXiv (Cornell University)
2025 article OpenAlex

ВЕДУЩИЕ СЕМЕЙСТВА В ТРАВЯНЫХ СООБЩЕСТВАХ ВНУТРЕННЕЙ АЗИИ НА ГРАДИЕНТЕ АРИДНОСТИ

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)

0 citations Сибирский экологический журнал
Accès ouvert 2025 article OpenAlex

Plasma proteomic biomarkers predict therapeutic responses in advanced biliary tract cancer patients receiving Camrelizumab plus the GEMOX treatment

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)

4 citations npj Precision Oncology

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