Browse All

Current Filters

CLEAR FILTER x

TITLE

Deep learning radiomic nomogram can distinguish intracranial solitary fibrous tumor from angiomatous meningioma: a multicenter study

Integrated MRI radiomics, tumor microenvironment, and clinical risk factors improving survival prediction in patients with glioblastoma

Author:Qing Zhou  junlin zhou  

Session Type:Oral  

Session Date:Monday, 06 May 2024  

Session Name:Radiomics & Imaging Biomarkers in Brain Tumors  

Program Number:0021  

Room Session:Nicoll 1  

Institution:lanzhou university second hospital  

Magnetic resonance imaging-based radiomic for predicting infiltration levels of CD68 tumor-associated macrophages in Glioblastomas

Author:Qing Zhou  junlin zhou  

Session Type:Oral  

Session Date:Monday, 06 May 2024  

Session Name:Therapeutic Evaluations in Animal Models  

Program Number:0171  

Room Session:Room 325-326  

Institution:lanzhou university second hospital  

MRI and tumor-infiltrating CD8 T cell-based nomogram for predicting meningioma recurrence risk stratification

Preoperative personalized 3D printing technology enhanced glioblastoma patient survival by improving fractal dimensions of wound surface

Author:huaze xi  junlin zhou  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:Application of AI to Clinical Neuroradiology  

Program Number:0510  

Room Session:Hall 606  

Institution:The Second Hospital of Lanzhou University  

Vasari-based features nomogram to predict the tumor-infiltrating CD8 T cell levels in glioblastoma

Author:Caiqiang Xue  junlin zhou  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:Neuro-Oncology: Diagnostics of Glioblastoma & Gliomas  

Program Number:3853  

Room Session:Exhibition Hall (Hall 403)  

Institution:lanzhou university second hospital