YUHSpace

BROWSE

YUHSpace1. College of Medicine (의과대학)Dept. of Biomedical Systems Informatics (의생명시스템정보학교실)1. Journal Papers

Browsing "1. Journal Papers" by Author : 3215

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
가 나 다 라 마 바 사 아 자 차 카 타 파 하
or enter first few letters:
  • Sort by:
  • In order:
  • Results/Page
  • Authors/Record:

Showing results 1 to 13 of 13

This table browses all dspace content
Issue DateTitleJournal Title
2021A Deep Learning Model with High Standalone Performance for Diagnosis of Unruptured Intracranial Aneurysm YONSEI MEDICAL JOURNAL
2022Cycle-consistent adversarial networks improves generalizability of radiomics model in grading meningiomas on external validation SCIENTIFIC REPORTS
2021Development and Validation of a Deep Learning-Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR ImagesAMERICAN JOURNAL OF NEURORADIOLOGY
2021Differentiation of recurrent glioblastoma from radiation necrosis using diffusion radiomics with machine learning model development and external validation SCIENTIFIC REPORTS
2021Diffusion tensor and postcontrast T1-weighted imaging radiomics to differentiate the epidermal growth factor receptor mutation status of brain metastases from non-small cell lung cancerNEURORADIOLOGY
2023Fully automated radiomics-based machine learning models for multiclass classification of single brain tumors: Glioblastoma, lymphoma, and metastasisJOURNAL OF NEURORADIOLOGY
2021Machine Learning Based Radiomic HPV Phenotyping of Oropharyngeal SCC: A Feasibility Study Using MRILARYNGOSCOPE
2021MRI Features May Predict Molecular Features of Glioblastoma in Isocitrate Dehydrogenase Wild-Type Lower-Grade GliomasAMERICAN JOURNAL OF NEURORADIOLOGY
2020Radiomics features of hippocampal regions in magnetic resonance imaging can differentiate medial temporal lobe epilepsy patients from healthy controls SCIENTIFIC REPORTS
2021Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results PLOS ONE
2020Radiomics risk score may be a potential imaging biomarker for predicting survival in isocitrate dehydrogenase wild-type lower-grade gliomasEUROPEAN RADIOLOGY
2021Radiomics With Ensemble Machine Learning Predicts Dopamine Agonist Response in Patients With ProlactinomaJOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
2020Robust performance of deep learning for distinguishing glioblastoma from single brain metastasis using radiomic features: model development and validation SCIENTIFIC REPORTS
1
  • License
    sherpa_romeo
    sherpa_juliet

OAK

DSpace Software Copyright © 2002-2017 Duraspace Yonsei University Medical Library All right Reserves. / TEL:02-2228-2915 /
YUHSpace는 국립중앙도서관 OAK 보급사업으로 구축되었습니다.

Browse

Links