C. Chao

发表

Surgical repair of pectus excavatum relieves right heart chamber compression and improves cardiac output in adult patients--an intraoperative transesophageal echocardiographic study.

T. Naqvi, C. Appleton, M. Gotway, 2015, American journal of surgery.

Baseline thrombocytopenia in acute coronary syndrome: The lower, the worse.

Chia-Chun Chiang, F. Fortuin, M. Girardo, 2021, International journal of cardiology.

Increased Echogenicity and Radiodense Foci on Echocardiogram and MicroCT in Murine Myocarditis

Yusu Gu, N. Dalton, K. Peterson, 2016, PloS one.

Adverse Effects of Right Ventricular Pacing on Cardiac Function: Prevalence, Prevention and Treatment with Physiologic Pacing.

T. Naqvi, C. Chao, 2021, Trends in cardiovascular medicine.

New carotid plaque, but not the progression of intima-media thickness, predicts the progression of high-risk coronary plaque

M. Budoff, R. Nakanishi, Yanting Luo, 2021, Coronary artery disease.

Utility of PREDICT-HF score in high-risk Asian heart failure patients receiving sacubitril/valsartan

Fa‐Po Chung, Hung-Yu Chang, Wen‐Yu Lin, 2022, Frontiers in Cardiovascular Medicine.

Comparison of echocardiographic parameters with cardiac magnetic resonance imaging in the assessment of right ventricular function

R. Siegel, Panwen Wang, R. Arsanjani, 2020, Echocardiography.

Effects of Pectus Excavatum Repair on Right and Left Ventricular Strain.

T. Naqvi, C. Appleton, S. Wilansky, 2018, The Annals of thoracic surgery.

Success of Minimally Invasive Pectus Excavatum Procedures (Modified Nuss) in Adult Patients (≥30 Years).

D. Notrica, S. M. Sims, M. Gotway, 2016, The Annals of thoracic surgery.

Echocardiographic features of left ventricular dysfunction and outcomes in chronic kidney disease

D. Tarng, Shuo-Ming Ou, W. Tseng, 2022, Heart.

National Cardiovascular Data Registry Model Predicts Long-Term Mortality in Patients Undergoing Percutaneous Coronary Interventions

Panwen Wang, R. Arsanjani, E. Yang, 2021, Cardiology.

Migraine with aura associates with a higher artificial intelligence: ECG atrial fibrillation prediction model output compared to migraine without aura in both women and men

P. Noseworthy, N. Zhang, D. Dodick, 2022, Headache.

Reversible cardiac dysfunction in severe COVID‐19 infection, mechanisms and case report

T. Naqvi, R. Arsanjani, Ayan Sen, 2020, Echocardiography.

A New Insight Into Nonbacterial Thrombotic Endocarditis: A Systematic Review of Cases

Panwen Wang, R. Arsanjani, F. Mookadam, 2022, Anatolian journal of cardiology.

Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media

A. Sarker, I. Banerjee, T. Schwedt, 2022, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Impact of Persistent Iatrogenic Atrial Septal Defect following MitraClip

J. Oh, D. Holmes, C. Rihal, 2022, Journal of cardiovascular development and disease.

Echocardiography-Based Deep Learning Model to Differentiate Constrictive Pericarditis and Restrictive Cardiomyopathy

R. Arsanjani, G. Kane, M. Grogan, 2022, medRxiv.

Safety and efficacy of balloon angioplasty compared to stent-based-strategies with pulmonary vein stenosis: A systematic review and meta-analysis

D. Hagler, D. Packer, Arunandan Kumar, 2023, World Journal of Cardiology.

Quantitation of valve regurgitation severity by three‐dimensional vena contracta area is superior to flow convergence method of quantitation on transesophageal echocardiography

T. Naqvi, Shuang Liu, Muaz M. Abudiab, 2017, Echocardiography.

The impact of moderate aortic stenosis in acute myocardial infarction: A multicenter retrospective study

E. Brilakis, A. El Sabbagh, M. Alkhouli, 2023, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

Transcatheter Aortic Valve Replacement Prognostication with Augmented Mean Arterial Pressure

T. Naqvi, D. Holmes, C. Appleton, 2023, Journal of cardiovascular development and disease.

Current Management and Future Perspectives in the Treatment of Lp(a) with a Focus on the Prevention of Cardiovascular Diseases

R. Arsanjani, J. Farina, C. Chao, 2023, Pharmaceuticals.

The Role of Artificial Intelligence in Echocardiography

B. Patel, I. Banerjee, J. Jeong, 2023, J. Imaging.

Unsupervised Machine Learning for Assessment of Left Ventricular Diastolic Function and Risk Stratification.

P. Pellikka, F. Lopez‐Jimenez, C. Scott, 2022, Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography.

Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies

B. Patel, J. Oh, C. Appleton, 2023, J. Imaging.

Multi-modal fusion model for predicting adverse cardiovascular outcome post percutaneous coronary intervention

D. Holmes, I. Banerjee, R. Arsanjani, 2022, Physiological measurement.

Role of lipoprotein(a) concentrations in bioprosthetic aortic valve degeneration

R. Arsanjani, M. Roarke, S. Lester, 2023, Heart.

Topological Data Analysis Identified Prognostically-Distinct Phenotypes in Transcatheter Edge-to-Edge Repair Patients

C. Rihal, A. El Sabbagh, I. Banerjee, 2023, Mayo Clinic Proceedings: Digital Health.

Using Augmented Mean Arterial Pressure to Identify High Mortality Risk Patients With Moderate Aortic Stenosis.

A. El Sabbagh, R. Arsanjani, D. Majdalany, 2023, Mayo Clinic proceedings.

Challenges and solutions of echocardiography generalization for deep learning: a study in patients with constrictive pericarditis

C. Chao, Mohammad Elbahnasawy, Melissa N. Pelkey, 2023, Journal of medical imaging.

A perspective in cardiovascular risk stratification: role of vascular ultrasound.

T. Naqvi, C. Chao, 2016, Future cardiology.