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Albert Hsiao

University of California San Diego · US
Area of research
Radiology, Nuclear Medicine and Imaging · Cardiology and Cardiovascular Medicine
Research interest
Research interests include Advanced MRI Techniques and Applications, Cardiac Imaging and Diagnostics, Congenital Heart Disease Studies, and Cardiovascular Function and Risk Factors.
h-index
33
citations
3,378
works
163
NIH funding
primary concept
email

Recent publications

Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges
Radiology 2025cited by 5position: middledoi
4D Flow cardiovascular magnetic resonance consensus statement: 2023 update
Journal of Cardiovascular Magnetic Resonance 2023cited by 243position: middledoi
Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data
American Journal of Roentgenology 2023cited by 18position: middledoi
Multidisciplinary Approach to Chronic Thromboembolic Pulmonary Hypertension: Role of Radiologists
Radiographics 2022cited by 33position: middledoi
Association Between Androgen Deprivation Therapy and Mortality Among Patients With Prostate Cancer and COVID-19
JAMA Network Open 2021cited by 39position: middledoi
Quantification of the Hemodynamic Changes of Cirrhosis with Free‐Breathing Self‐Navigated <scp>MRI</scp>
Journal of Magnetic Resonance Imaging 2021cited by 20position: lastdoi
Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI
Radiology 2020cited by 137position: lastdoi
Deep Learning Localization of Pneumonia
Journal of Thoracic Imaging 2020cited by 82position: lastdoi
Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time
European Journal of Radiology 2020cited by 8position: middledoi
COPDGene® 2019: Redefining the Diagnosis of Chronic Obstructive Pulmonary Disease
Chronic Obstructive Pulmonary Diseases Journal of the COPD Foundation 2019cited by 180position: middledoi
Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network
Radiology Artificial Intelligence 2019cited by 137position: lastdoi
Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging
Journal of Thoracic Imaging 2019cited by 83position: lastdoi
Deep Learning–based Prescription of Cardiac MRI Planes
Radiology Artificial Intelligence 2019cited by 69position: lastdoi
Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images
European Radiology Experimental 2019cited by 15position: middledoi
4D flow MRI quantification of mitral and tricuspid regurgitation: Reproducibility and consistency relative to conventional MRI
Journal of Magnetic Resonance Imaging 2018cited by 105position: lastdoi
Evaluation of atrial septal defects with 4D flow MRI—multilevel and inter-reader reproducibility for quantification of shunt severity
Magnetic Resonance Materials in Physics Biology and Medicine 2018cited by 51position: lastdoi
Remote CMR 4D Flow Quantification of Pulmonary Flow
Journal of Cardiovascular Magnetic Resonance 2016cited by 2position: middledoi
Global left ventricular function quantification with CMR 4D Flow
Journal of Cardiovascular Magnetic Resonance 2016cited by 1position: middledoi
Congenital heart disease assessment with 4D flow MRI
Journal of Magnetic Resonance Imaging 2015cited by 132position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Shreyas Vasanawala · Stanford University6 papers (2015–2021)Claude B. Sirlin · Université de Montréal5 papers (2019–2023)Kyle Hasenstab · San Diego State University4 papers (2019–2023)Guilherme Moura Cunha · University of Washington4 papers (2019–2023)Ryan L. Brunsing · Stanford University3 papers (2019–2021)Tara Retson · UC San Diego Health System3 papers (2019–2019)Marcus T. Alley · Palo Alto University3 papers (2015–2021)Koen Nieman · Stanford University3 papers (2016–2018)Timoteo Delgado · University of California, San Diego3 papers (2019–2020)Naeim Bahrami · General Electric (Spain)3 papers (2019–2020) · 2 papers (2019–2020)Kang Wang · Nanchang University2 papers (2019–2020)Katie Fowler · University of California San Diego2 papers (2019–2020)Jolien W. Roos‐Hesselink · Genetic Alliance2 papers (2016–2016)Armin Schwartzman · University of San Diego2 papers (2019–2020)Kevin Blansit · University of California San Diego2 papers (2019–2019)Sara Boccalini · Université Claude Bernard Lyon 12 papers (2016–2016)Ricardo P.J. Budde · Utrecht University2 papers (2016–2016)Rohit Loomba · Indiana University – Purdue University Indianapolis2 papers (2019–2021)Evan Masutani · University of California San Diego2 papers (2019–2020)