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» Authors » Daoying Geng

Daoying Geng

Explore the profile of Daoying Geng including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 128
Citations 1124
Followers 0
Related Specialties
Radiology
Neurology
General Medicine
Top 10 Co-Authors
Jun Zhang
Yuxin Li
Bo Yin
Liqin Yang
Xin Cao
Yiping Lu
Hongyi Chen
Xiao Liu
Bin Hu
Peng Du
Published In
Eur Radiol
J Magn Reson Imaging
J Comput Assist Tomogr
Front Oncol
Acta Radiol
Affiliations
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Recent Articles
21.
Structural, static, and dynamic functional MRI predictors for conversion from mild cognitive impairment to Alzheimer's disease: Inter-cohort validation of Shanghai Memory Study and ADNI
Chen Z, Chen K, Li Y, Geng D, Li X, Liang X, et al.
Hum Brain Mapp . 2023 Nov; 45(1):e26529. PMID: 37991144
Mild cognitive impairment (MCI) is a critical prodromal stage of Alzheimer's disease (AD), and the mechanism underlying the conversion is not fully explored. Construction and inter-cohort validation of imaging biomarkers...
22.
BTSC-TNAS: A neural architecture search-based transformer for brain tumor segmentation and classification
Liu X, Yao C, Chen H, Xiang R, Wu H, Du P, et al.
Comput Med Imaging Graph . 2023 Nov; 110:102307. PMID: 37913635
Glioblastoma (GBM), isolated brain metastasis (SBM), and primary central nervous system lymphoma (PCNSL) possess a high level of similarity in histomorphology and clinical manifestations on multimodal MRI. Such similarities have...
23.
Establishment of a Prediction Model Based on Preoperative MRI Radiomics for Diffuse Astrocytic Glioma, IDH-Wildtype, with Molecular Features of Glioblastoma
Du P, Wu X, Liu X, Chen J, Cao A, Geng D
Cancers (Basel) . 2023 Oct; 15(20). PMID: 37894461
Purpose: In 2021, the WHO central nervous system (CNS) tumor classification criteria added the diagnosis of diffuse astrocytic glioma, IDH wild-type, with molecular features of glioblastoma, WHO grade 4 (DAG-G)....
24.
A brain tumor computer-aided diagnosis method with automatic lesion segmentation and ensemble decision strategy
Yu L, Yu Z, Sun L, Zhu L, Geng D
Front Med (Lausanne) . 2023 Oct; 10:1232496. PMID: 37841015
Objectives: Gliomas and brain metastases (Mets) are the most common brain malignancies. The treatment strategy and clinical prognosis of patients are different, requiring accurate diagnosis of tumor types. However, the...
25.
Altered Neurovascular Coupling in Patients With Mitochondrial Myopathy, Encephalopathy, Lactic Acidosis, and Stroke-Like Episodes (MELAS): A Combined Resting-State fMRI and Arterial Spin Labeling Study
Wang R, Liu X, Sun C, Hu B, Yang L, Liu Y, et al.
J Magn Reson Imaging . 2023 Oct; 60(1):327-336. PMID: 37795920
Background: Coupling between neuronal activity and blood perfusion is termed neurovascular coupling (NVC), and it provides a potentially new mechanistic perspective into understanding numerous brain diseases. Although abnormal brain activity...
26.
The application of decision tree model based on clinicopathological risk factors and pre-operative MRI radiomics for predicting short-term recurrence of glioblastoma after total resection: a retrospective cohort study
Du P, Wu X, Liu X, Chen J, Chen L, Cao A, et al.
Am J Cancer Res . 2023 Sep; 13(8):3449-3462. PMID: 37693142
To develop a decision tree model based on clinical information, molecular genetics information and pre-operative magnetic resonance imaging (MRI) radiomics-score (Rad-score) to investigate its predictive value for the risk of...
27.
Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases
Du P, Liu X, Xiang R, Lv K, Chen H, Liu W, et al.
Eur Radiol . 2023 Jul; 33(12):8925-8935. PMID: 37505244
Objectives: The first treatment strategy for brain metastases (BM) plays a pivotal role in the prognosis of patients. Among all strategies, stereotactic radiosurgery (SRS) is considered a promising therapy method....
28.
Predicting peritumoral edema development after gamma knife radiosurgery of meningiomas using machine learning methods: a multicenter study
Li X, Lu Y, Liu L, Wang D, Zhao Y, Mei N, et al.
Eur Radiol . 2023 Jul; 33(12):8912-8924. PMID: 37498381
Objectives: Edema is a complication of gamma knife radiosurgery (GKS) in meningioma patients that leads to a variety of consequences. The aim of this study is to construct radiomics-based machine...
29.
Glioblastomas with and without peritumoral fluid-attenuated inversion recovery (FLAIR) hyperintensity present morphological and microstructural differences on conventional MR images
Han Q, Lu Y, Wang D, Li X, Ruan Z, Mei N, et al.
Eur Radiol . 2023 Jul; 33(12):9139-9151. PMID: 37495706
Objectives: Glioblastoma (GB) without peritumoral fluid-attenuated inversion recovery (FLAIR) hyperintensity is atypical and its characteristics are barely known. The aim of this study was to explore the differences in pathological...
30.
Predicting Histopathological Grading of Adult Gliomas Based On Preoperative Conventional Multimodal MRI Radiomics: A Machine Learning Model
Du P, Liu X, Wu X, Chen J, Cao A, Geng D
Brain Sci . 2023 Jun; 13(6). PMID: 37371390
Purpose: The accurate preoperative histopathological grade diagnosis of adult gliomas is of great significance for the formulation of a surgical plan and the implementation of a subsequent treatment. The aim...