Haoli Xu is a dedicated researcher and medical professional based in China. He holds a Master’s degree in Imaging and Nuclear Medicine from Wenzhou Medical University. Currently, he is pursuing his Ph.D. in Imaging and Nuclear Medicine at Soochow University. With a focus on radiology, his research explores various aspects of cerebrovascular diseases, particularly acute ischemic stroke and intracerebral hemorrhage. Haoli Xu’s work is characterized by a multidisciplinary approach, integrating advanced imaging techniques and machine learning models to improve diagnostic accuracy and patient outcomes.
Author Metrics:
Scopus Profile
Haoli Xu’s contributions to the field of radiology are marked by a series of impactful publications in reputable journals, including the Journal of Neuroradiology, Neurocritical Care, Cerebrovascular Diseases, Neuroradiology, and Ebiomedicine. His research has garnered attention, with several of his papers achieving notable citation rates. Haoli Xu’s author metrics reflect a consistent record of scholarly output and a growing reputation within the academic community.
Citations: 179 Documents: 16 h-index: 6
Haoli Xu is affiliated with The First Affiliated Hospital of Wenzhou Medical University in Wenzhou, China. He has been cited 179 times across 16 documents, resulting in an h-index of 6. For more information about Haoli Xu’s publications and citations, please refer to his profile on the respective platforms.
Education:
Haoli Xu completed his Bachelor’s degree in Medical Imaging from Zunyi Medical University. He then pursued a Master’s degree in Imaging and Nuclear Medicine at Wenzhou Medical University, where he developed a strong foundation in medical imaging techniques and research methodologies. Currently, he is enrolled as a Ph.D. candidate in Imaging and Nuclear Medicine at Soochow University, furthering his expertise in the field.
Research Focus:
Haoli Xu’s research primarily focuses on cerebrovascular diseases, with a particular emphasis on acute ischemic stroke and intracerebral hemorrhage. He investigates various aspects of these conditions, including predictors of hemorrhagic transformation, white matter lesion severity, blood-brain barrier permeability, and hematoma expansion. Utilizing advanced imaging modalities such as CT perfusion and radiomics analysis, Haoli Xu aims to develop predictive models and treatment strategies to improve patient outcomes and optimize clinical decision-making.
Professional Journey:
Haoli Xu’s professional journey encompasses both clinical practice and research endeavors. He has served as a resident physician in the Department of Radiology at The First Affiliated Hospital of Wenzhou Medical University, where he gained valuable experience in diagnosing and treating cerebrovascular disorders. Currently, he holds a position as an attending physician in the same department, actively contributing to patient care while concurrently pursuing his Ph.D. studies at Soochow University.
Honors & Awards:
Throughout his career, Haoli Xu has received recognition for his outstanding contributions to medical research and academic excellence. Notable honors and awards include the Zhejiang Provincial Science and Technology Award (Third Prize), the “Hospital-level Outstanding Party Member” award from the First Affiliated Hospital Committee of Wenzhou Medical University, and various academic scholarships for graduate students. These accolades underscore Haoli Xu’s dedication to advancing knowledge in the field of radiology.
Publications Noted & Contributions:
Haoli Xu has made significant contributions to the scientific literature through his publications in reputable journals. Notable papers include studies on predictors of hemorrhagic transformation in acute ischemic stroke, white matter lesion severity in intracerebral hemorrhage, optic nerve sheath diameter as a prognostic indicator in spontaneous intracerebral hemorrhage, and the prediction of hematoma expansion using machine learning algorithms. His research findings have provided valuable insights into the pathophysiology and management of cerebrovascular diseases.
An Online Dynamic Radiomics–Clinical Nomogram to Predict Recurrence in Patients with Spontaneous Intracerebral Hemorrhage
Authors: Luo, Z., Zhou, Y., Yu, M., … Yang, Y., Zhu, D.
Published in: World Neurosurgery, 2024, Volume 183, Pages e638–e648
Abstract: This article presents an online dynamic radiomics-clinical nomogram designed to predict recurrence in patients with spontaneous intracerebral hemorrhage.
Development and validation of a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral hemorrhage
Authors: Lin, R., Lin, J., Xu, Y., … Yang, Y., Wang, X.
Published in: European Radiology, 2023, Volume 33(7), Pages 4526–4536
Abstract: This study introduces a novel radiomics-clinical model for predicting post-stroke epilepsy after first-ever intracerebral hemorrhage and validates its efficacy.
Acute Phase Blood Glucose Levels and Functional Outcomes in Patients with Spontaneous Intracerebral Hemorrhage
Authors: Zhou, Y., Luo, Z., Yu, M., … Wang, M., Zhu, D.
Published in: Neuropsychiatric Disease and Treatment, 2023, Volume 19, Pages 2697–2707
Abstract: This article investigates the relationship between acute phase blood glucose levels and functional outcomes in patients with spontaneous intracerebral hemorrhage.
Moderate-Severe White Matter Lesion Predicts Delayed Intraventricular Hemorrhage in Intracerebral Hemorrhage
Authors: Yu, M., Zhu, D., Luo, Z., … Yang, Y., Xu, H.
Published in: Neurocritical Care, 2022, Volume 37(3), Pages 714–723
Abstract: This study examines how moderate-severe white matter lesions predict delayed intraventricular hemorrhage in patients with intracerebral hemorrhage.
Dilated Optic Nerve Sheath Diameter Predicts Poor Outcome in Acute Spontaneous Intracerebral Hemorrhage
Authors: Xu, H., Li, Y., Liu, J., … Chen, W., Chen, Y.
Published in: Cerebrovascular Diseases, 2022, Volume 51(2), Pages 199–206
Abstract: This research explores how dilated optic nerve sheath diameter can predict poor outcomes in patients with acute spontaneous intracerebral hemorrhage.
Clinical-radiomics Nomogram for Risk Estimation of Early Hematoma Expansion after Acute Intracerebral Hemorrhage
Authors: Chen, Q., Zhu, D., Liu, J., … Huang, S., Yang, Y.
Published in: Academic Radiology, 2021, Volume 28(3), Pages 307–317
Abstract: This article presents a clinical-radiomics nomogram for estimating the risk of early hematoma expansion after acute intracerebral hemorrhage.
Research Timeline:
Haoli Xu’s research journey has been characterized by a progression of scholarly endeavors and academic achievements. Beginning with his undergraduate studies in medical imaging, he continued to pursue advanced education and research opportunities at Wenzhou Medical University. His research timeline encompasses a range of projects investigating various aspects of cerebrovascular diseases, with a focus on developing innovative diagnostic and prognostic tools to enhance clinical practice.
Collaborations and Projects:
Haoli Xu has been actively involved in collaborative research projects aimed at addressing key challenges in the field of cerebrovascular imaging and neurology. His interdisciplinary approach involves collaborating with clinicians, radiologists, and researchers to leverage expertise across multiple domains. Current projects include the prediction of malignant cerebral edema after thrombectomy in acute ischemic stroke, the application of non-invasive intracranial pressure assessment in intracerebral hemorrhage, and the development of predictive models for cerebral hemorrhage expansion and poor prognosis using multi-modal CT and radiomics analysis. These collaborative efforts reflect Haoli Xu’s commitment to advancing scientific knowledge and improving patient care through innovative research initiatives.
