Jin Cui

Huashan Hospital — China

Medicine · Health Sciences

13h-index1.1kcitations48works1.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(13), Brain Tumor Detection and Classification(8), Glioma Diagnosis and Treatment(7), Aortic aneurysm repair treatments(7), Aortic Disease and Treatment Approaches(5)

Publications46 total

Development of a predictive model for Ki-67 index of meningiomas by integrating deep-learning, radiomics and clinical features utilizing fully automated segmentation results
Computer Methods and Programs in Biomedicine·2025
RecGPT Technical Report
arXiv (Cornell University)·2025Open Access
Assessment of hypoxia and its dynamic evolution in glioblastoma via qBOLD MRI: a comparative study with metformin treatment
European Radiology Experimental·2024· 1 citedOpen Access
A DTI-based radiomics model for predicting epidermal growth factor receptor (EGFR) amplification in adult IDH1-wild glioblastomas
Acta Radiologica·2024· 2 cited
Profiling metabolome of mouse embryonic cerebrospinal fluid following maternal immune activation
Journal of Biological Chemistry·2024· 3 citedOpen Access
Comparison of standard endovascular repair and chimney graft for juxtarenal abdominal aortic aneurysm
Research Square (Research Square)·2024Open Access
Metabolomics of Mouse Embryonic CSF Following Maternal Immune Activation
2023· 3 citedOpen Access
A collaboration between immune cells and the choroid plexus epithelium in brain inflammation
2023· 1 citedOpen Access
Diagnosis and treatment of venous thromboembolism and clinical application of inferior vena cava filter in China
Journal of Vascular Surgery Venous and Lymphatic Disorders·2023· 13 citedOpen Access
Using MRNet to Predict Lunar Rock Categories Detected by Chang’e 5 Probe
Advances in transdisciplinary engineering·2022Open Access
Systematic Review of Machine Learning Models for Differentiation of Glioma from Brain Metastasis (P14-9.006)
Neurology·2022
Integration of Machine Learning Into Clinical Radiology Practice – Development of a Machine Learning Tool for Preoperative Glioma Grade Prediction (P14-9.002)
Neurology·2022Open Access
Comparing Deep Learning and Classical Machine Learning Methods For Differentiating Primary CNS Lymphomas From Gliomas – A Systematic Review (P14-9.004)
Neurology·2022
[Myocardial hypertrophy in a patient with eosinophilic dermatitis].
PubMed·2022
Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis
Frontiers in Oncology·2022· 15 citedOpen Access
Machine Learning Applications for Differentiation of Glioma from Brain Metastasis—A Systematic Review
Cancers·2022· 38 citedOpen Access
Identifying clinically applicable machine learning algorithms for glioma segmentation: recent advances and discoveries
Neuro-Oncology Advances·2022· 7 citedOpen Access
Comparison of the Bifurcated Graft Reconstruction and Aortic Stump Closure in Open Surgical Conversion After Endovascular Aneurysm Repair
Annals of Vascular Surgery·2021· 4 cited
NIMG-46. SYSTEMATIC LITERATURE REVIEW OF ARTIFICIAL INTELLIGENCE ALGORITHMS USING PRE-THERAPY MR IMAGING FOR GLIOMA MOLECULAR SUBTYPE CLASSIFICATION
Neuro-Oncology·2021· 1 citedOpen Access
NIMG-71. IDENTIFYING CLINICALLY APPLICABLE MACHINE LEARNING ALGORITHMS FOR GLIOMA SEGMENTATION USING A SYSTEMATIC LITERATURE REVIEW
Neuro-Oncology·2021· 1 citedOpen Access
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Frequent Co-authors

Mariam Aboian(17), Waverly Rose Brim(13), Harry Subramanian(13), Khaled Bousabarah(11), Ajay Malhotra(11), Seyedmehdi Payabvash(10), MingDe Lin(10), Michele H. Johnson(10), Maria K. Lehtinen(9), Tal Zeevi(9), Gabriel Cassinelli Petersen(8), Sara Merkaj(8), Alexandria Brackett(7), Eve Kazarian(6), Frederick B. Shipley(6), Huixin Xu(6), Ryan Bahar(6), Niklas Tillmanns(6), Antonio Omuro(5), Guangqi Chang(5)