Daoying Geng
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Explore the profile of Daoying Geng including associated specialties, affiliations and a list of published articles.
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128
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1124
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Recent Articles
11.
Liu X, Du P, Dai Z, Yi R, Liu W, Wu H, et al.
Comput Biol Med
. 2024 Apr;
175:108503.
PMID: 38688125
Before the Stereotactic Radiosurgery (SRS) treatment, it is of great clinical significance to avoid secondary genetic damage and guide the personalized treatment plans for patients with brain metastases (BM) by...
12.
Li J, Zhang L, Xing H, Geng Y, Lv S, Luo X, et al.
Adv Sci (Weinh)
. 2024 Mar;
11(21):e2309348.
PMID: 38498682
Tertiary lymphoid structure (TLS) can predict the prognosis and sensitivity of tumors to immune checkpoint inhibitors (ICIs) therapy, whether it can be noninvasively predicted by radiomics in hepatocellular carcinoma with...
13.
Luo X, Li P, Chen H, Zhou K, Piao S, Yang L, et al.
Phys Med Biol
. 2024 Feb;
69(6).
PMID: 38330492
. Precise hepatocellular carcinoma (HCC) detection is crucial for clinical management. While studies focus on computed tomography-based automatic algorithms, there is a rareness of research on automatic detection based on...
14.
Yu Z, Li X, Li J, Chen W, Tang Z, Geng D
Comput Biol Med
. 2024 Feb;
170:108039.
PMID: 38308874
Brain tumors are among the most prevalent neoplasms in current medical studies. Accurately distinguishing and classifying brain tumor types accurately is crucial for patient treatment and survival in clinical practice....
15.
Lv K, Hu Y, Cao X, Xie Y, Fu J, Chen H, et al.
Neuroradiology
. 2024 Jan;
66(5):775-784.
PMID: 38294728
Purpose: Gliomas are the most common primary brain tumor. Currently, topological alterations of whole-brain functional network caused by gliomas are not fully understood. The work here clarified the topological reorganization...
16.
Tian W, Yan Q, Huang X, Feng R, Shan F, Geng D, et al.
Cancer Imaging
. 2024 Jan;
24(1):8.
PMID: 38216999
Background: In solid-predominantly invasive lung adenocarcinoma (SPILAC), occult lymph node metastasis (OLNM) is pivotal for determining treatment strategies. This study seeks to develop and validate a fusion model combining radiomics...
17.
Jin L, Ma Z, Li H, Gao F, Gao P, Yang N, et al.
Bioengineering (Basel)
. 2023 Dec;
10(12).
PMID: 38135930
We aimed to compare the performance and interobserver agreement of radiologists manually segmenting images or those assisted by automatic segmentation. We further aimed to reduce interobserver variability and improve the...
18.
Luo X, Li H, Xia W, Quan C, ZhangBao J, Tan H, et al.
Eur Radiol
. 2023 Dec;
34(7):4364-4375.
PMID: 38127076
Objective: To develop a discrimination pipeline concerning both radiomics and spatial distribution features of brain lesions for discrimination of multiple sclerosis (MS), aquaporin-4-IgG-seropositive neuromyelitis optica spectrum disorder (NMOSD), and myelin-oligodendrocyte-glycoprotein-IgG-associated...
19.
Lin L, Geng D, She D, Kuai X, Du C, Fu P, et al.
Acta Biomater
. 2023 Nov;
174:314-330.
PMID: 38036284
Epilepsy refers to a disabling neurological disorder featured by the long-term and unpredictable occurrence of seizures owing to abnormal excessive neuronal electrical activity and is closely linked to unresolved inflammation,...
20.
Ma X, Zhao L, Dang S, Zhao Y, Lu Y, Li X, et al.
J Comput Assist Tomogr
. 2023 Nov;
48(3):480-490.
PMID: 38013244
Purpose: This study aimed to investigate the effectiveness and practicality of using models like convolutional neural network and transformer in detecting and precise segmenting meningioma from magnetic resonance images. Methods:...