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Profil bibliographique

Fengda Li

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

14Publications signalées
89Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Intracerebral and Subarachnoid Hemorrhage ResearchAcute Ischemic Stroke ManagementPlant Molecular Biology ResearchIntracranial Aneurysms: Treatment and ComplicationsBrain Tumor Detection and Classification

Les publications récentes

Accès ouvert 2026 article OpenAlex

Risk factors and predictive model for futile recanalization after mechanical thrombectomy in patients with acute ischemic stroke: A multicenter retrospective study

Shuhong Mei, Fanghua Zhou, Xinhua Zhan, Bin Wu et autres

ObjectiveTo identify risk factors for futile recanalization after mechanical thrombectomy in patients with acute ischemic stroke and develop an interpretable nomogram for risk stratification.MethodsThis multicenter retrospective study included 350 patients with acute ischemic stroke who underwent mechanical thrombectomy. A development cohort consisting …

cn, tw (code pays fourni par la source)

0 citations Journal of International Medical Research
Accès ouvert 2026 article OpenAlex

Preoperative prediction of p53 overexpression in pituitary neuroendocrine tumors using MRI radiomics

Longyuan Gu, Fanghua Zhou, Bin Wu, Jianpin Yang et autres

Background: The expression of p53 protein is closely related to tumor prognosis and plays an important role in patients with pituitary neuroendocrine tumors (PitNETs). However, its evaluation currently relies on postoperative histopathological analysis. Developing a non-invasive method to predict p53 overexpression preoperatively …

cn, tw (code pays fourni par la source)

1 citation Frontiers in Neurology
Accès ouvert 2025 article OpenAlex

Prediction of 1p/19q state in glioma by integrated deep learning method based on MRI radiomics

Fengda Li, Zeyi Li, Hong Xu, Gang Kong et autres

PURPOSE: To predict the 1p/19q molecular status of Lower-grade glioma (LGG) patients nondestructively, this study developed a deep learning (DL) approach using radiomic to provide a potential decision aid for clinical determination of molecular stratification of LGG. METHODS: The study retrospectively collected …

cn (code pays fourni par la source)

5 citations BMC Cancer
Accès ouvert 2025 article OpenAlex

A nomogram based on the TyG index for the prediction of lower-limb venous thrombosis in patients with intracerebral hemorrhage

Lijie Huang, Fengda Li

Venous thrombosis is a serious complication that adversely impacts the prognosis of patients with intracerebral hemorrhage (ICH) and even threatens their lives. Triglyceride glucose product (TyG) index is closely related to the pathophysiological process of cerebral hemorrhage and venous thrombosis. A total …

cn (code pays fourni par la source)

3 citations Scientific Reports
Accès ouvert 2025 article OpenAlex

Predicting functional outcomes of patients with spontaneous intracerebral hemorrhage based on explainable machine learning models: a multicenter retrospective study

Bin Pan, Fengda Li, Chuanghong Liu, Zeyi Li et autres

Background: Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrovascular disease after ischemic stroke, with high mortality and disability rates, imposing a significant economic burden on families and society. This retrospective study aimed to develop and evaluate an interpretable …

cn (code pays fourni par la source)

5 citations Frontiers in Neurology
Accès ouvert 2025 article OpenAlex

Development and validation of a prognostic nomogram for predicting outcomes in brainstem hemorrhage patients

Shuo Wei, Longyuan Gu, Yue-chao Fan, Ping Ji et autres

Brainstem hemorrhage is a severe neurological condition with high mortality and poor prognosis. This study aims to develop and validate a prognostic model for brainstem hemorrhage to facilitate early prediction of patient outcomes, thereby supporting clinical decision-making. Clinical data from 140 patients …

cn (code pays fourni par la source)

1 citation Scientific Reports
Accès ouvert 2024 article OpenAlex

Multiscale and Auto-Tuned Semi-Supervised Deep Subspace Clustering and Its Application in Brain Tumor Clustering

Zhenyu Qian, Yizhang Jiang, Hong Cheng Zhou, Lijun Huang et autres

In this paper, we introduce a novel Multi-scale and Auto-tuned Semi-supervised Deep Subspace Clustering (MAS-DSC) algorithm, aimed at addressing the challenges of deep subspace clustering in high-dimensional real-world data, particularly in the field of medical imaging. Traditional deep subspace clustering algorithms, which …

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3 citations Computers, materials & continua/Computers, materials & continua (Print)
Accès ouvert 2023 article OpenAlex

Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study

Longyuan Gu, Hongwei Hu, Shi‐Nan Wu, Fengda Li et autres

Non-traumatic subarachnoid hemorrhage (SAH) is a critical neurosurgical emergency with a high mortality rate, imposing a significant burden on both society and families. Accurate prediction of the risk of death within 7 days in SAH patients can provide valuable information for clinicians, …

cn (code pays fourni par la source)

8 citations Heliyon
Accès ouvert 2023 article OpenAlex

Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study

Fengda Li, Anmin Chen, Zeyi Li, Longyuan Gu et autres

Background: Intracerebral hemorrhage (ICH) is one of the most serious complications in patients with chronic kidney disease undergoing long-term hemodialysis. It has high mortality and disability rates and imposes a serious economic burden on the patient's family and society. An early prediction …

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11 citations Frontiers in Neurology
Accès ouvert 2020 article OpenAlex

Identification, Expression and Co-Expression Analysis of R2R3-MYB Family Genes Involved in Graft Union Formation in Pecan (Carya illinoinensis)

Kaikai Zhu, Pinghua Fan, Zhenghai Mo, Pengpeng Tan et autres

Plant R2R3-MYBs comprise one of the largest transcription factor families; however, few R2R3-MYB genes in pecan have been functionally analyzed due to the limited genome information and potential functional redundancy caused by gene duplication. In this study, 153 R2R3-MYB genes were identified …

cn (code pays fourni par la source)

22 citations Forests
Accès ouvert 2020 article OpenAlex

Identification of Grafting-Responsive MicroRNAs Associated with Growth Regulation in Pecan [Carya illinoinensis (Wangenh.) K. Koch]

Zhuangzhuang Liu, Fengda Li, Fangren Peng, Pengpeng Tan et autres

Pecan [Carya illinoinensis (Wangenh.) K. Koch] is an economically important nut tree and grafting is often used for clonal propagation of cultivars. However, there is a lack of research on the effects of rootstocks on scions, which are meaningful targets for directed …

cn (code pays fourni par la source)

13 citations Forests
Accès ouvert 2019 article OpenAlex

Microbial flocculant produced by a novel Paenibacillus sp., strain A9, using food processing wastewater to replace fermentation medium and its application for the removal of Pb(II) from aqueous solution

Binhui Jiang, Lili Fu, Wan Cao, Bo Zhang et autres

Due to high production costs, the popularization and application of microbial flocculants in the field of water treatment have been limited. In this study, the capture of lead ions by the fermentation broth of a novel Paenibacillus sp. strain A9 and cultured …

cn (code pays fourni par la source)

17 citations Adsorption Science & Technology

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