Yannan Yu, MD

Diagnostic Radiology Resident, R-1

Yannan Yu is a first year diagnostic radiology resident at UCSF. Her research focused on neuroimaging especially stroke imaging, including MR/CT perfusion, diffusion weighted imaging, vessel wall imaging. She has specific interest in artificial intelligence to improve diagnosis on medical imaging as well as improving prognostication and clinical workflow. Outside work, she enjoys painting, board game, forest/coastal foraging, and video gaming.

Publications

Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning.

Journal of neurointerventional surgery

Khankari J, Yu Y, Ouyang J, Hussein R, Do HM, Heit JJ, Zaharchuk G

Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism

Zhao MY, Woodward A, Fan AP, Chen KT, Yu Y, Chen DY, Moseley ME, Zaharchuk G

Assessment of Therapeutic Response to Statin Therapy in Patients With Intracranial or Extracranial Carotid Atherosclerosis by Vessel Wall MRI: A Systematic Review and Updated Meta-Analysis.

Frontiers in cardiovascular medicine

Zhou P, Wang Y, Sun J, Yu Y, Mossa-Basha M, Zhu C

Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.

Topics in magnetic resonance imaging : TMRI

Yu Y, Heit JJ, Zaharchuk G

The bright vessel sign on arterial spin labeling MRI for heralding and localizing large vessel occlusions.

Journal of neuroimaging : official journal of the American Society of Neuroimaging

McCullough-Hicks ME, Yu Y, Mlynash M, Albers GW, Zaharchuk G

Early NT-ProBNP (N-Terminal Probrain Natriuretic Peptide) Elevation Predicts Malignant Edema and Death After Reperfusion Therapy in Acute Ischemic Stroke Patients.

Stroke

Zhang X, Yan S, Zhong W, Yu Y, Lou M

Absent Contrast Filling of Ipsilateral Superficial Middle Cerebral Vein Predicts Midline Shift in Acute Middle Cerebral Artery Occlusion.

Frontiers in neurology

Zhang S, Lin L, Zhang R, Wang M, Yu Y, Shi Z, Parsons M, Geng Y

Absent filling of the superficial middle cerebral vein is associated with reperfusion but not parenchymal hematoma in stroke patients undergoing thrombectomy: an observational study.

Annals of translational medicine

Zhang S, Zhang R, Jin B, Shi Z, Li C, Yu Y, Wang Z

Publications

Automated detection of arterial landmarks and vascular occlusions in patients with acute stroke receiving digital subtraction angiography using deep learning.

Reproducibility of cerebrovascular reactivity measurements: A systematic review of neuroimaging techniques.

Assessment of Therapeutic Response to Statin Therapy in Patients With Intracranial or Extracranial Carotid Atherosclerosis by Vessel Wall MRI: A Systematic Review and Updated Meta-Analysis.

Improving Ischemic Stroke Care With MRI and Deep Learning Artificial Intelligence.

The bright vessel sign on arterial spin labeling MRI for heralding and localizing large vessel occlusions.

Early NT-ProBNP (N-Terminal Probrain Natriuretic Peptide) Elevation Predicts Malignant Edema and Death After Reperfusion Therapy in Acute Ischemic Stroke Patients.

Absent Contrast Filling of Ipsilateral Superficial Middle Cerebral Vein Predicts Midline Shift in Acute Middle Cerebral Artery Occlusion.

Absent filling of the superficial middle cerebral vein is associated with reperfusion but not parenchymal hematoma in stroke patients undergoing thrombectomy: an observational study.

Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging.

Deep Learning Detection of Penumbral Tissue on Arterial Spin Labeling in Stroke.

Quantitative score of the vessel morphology in middle cerebral artery atherosclerosis.

Middle cerebral artery geometric features are associated with plaque distribution and stroke.

Association of anemia and hemoglobin decrease during acute stroke treatment with infarct growth and clinical outcome.

Prediction of Hemorrhagic Transformation Severity in Acute Stroke From Source Perfusion MRI.

Defining Core and Penumbra in Ischemic Stroke: A Voxel- and Volume-Based Analysis of Whole Brain CT Perfusion.

Different risk factors for poor outcome between patients with positive and negative susceptibility vessel sign.