Albert Hsiao
Professor
Leads the AiDA lab, developing artificial intelligence for cardiovascular imaging such as 4D flow MRI.
Albert Hsiao's lab at UCSD works on medical imaging & healthcare AI. 27 papers since 2023, 1 at top venues, mostly TMI. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 4%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 0 · collecting
- 8 papers2025 · T1 1
- 5 papers2024 · T1 0
- 8 papers2023 · T1 0
T1 venuesOtherVenues: TMI
Research focuspaper titles that use each topic's words
- mri7 papers
- flow4 papers
- Medical imaging & healthcare AI3 papers
- cardiovascular3 papers
- developing0 papers
Paper list
From the lab homepage.
20266 papers
- Annu Rev MedArtificial Intelligence and Radiomics in the Diagnosis and Management of Cancer (opens in a new tab)
- J Thorac ImagingArtificial Intelligence in Cardiovascular MRI: From Imaging to Biomechanics and Diagnosis (opens in a new tab)
- J Cardiovasc Magn ResonCorrigendum to "4D Flow cardiovascular magnetic resonance consensus statement: 2023 update" [Journal of Cardiovascular Magnetic Resonance 25 (2023) 40] (opens in a new tab)
- JCO Oncol AdvCOVID-19 in Patients With Gynecologic Cancer: A Report From the COVID-19 and Cancer Consortium (opens in a new tab)
- Radiol Cardiothorac ImagingDeep Learning Automated Measurement of Shunt Severity with Estimation of Uncertainty in 4D Flow MRI (opens in a new tab)
- Radiol Cardiothorac ImagingDeep Learning for Assessment of Cardiac Chamber Enlargement on Anteroposterior Chest Radiographs (opens in a new tab)
20258 papers
- Med PhysBolus tracking from pulsed x-ray projections: A feasibility study using a five-dimensional cardiac CT contrast dynamics model (opens in a new tab)
- TMI (T1)Cardiac Phase Estimation Using Deep Learning Analysis of Pulsed-Mode Projections: Toward Autonomous Cardiac CT Imaging (opens in a new tab)
- J Cardiovasc Magn ResonCharacteristics of left ventricular dysfunction in repaired tetralogy of Fallot: A multi-institutional deep learning analysis of regional strain and dyssynchrony (opens in a new tab)
- Radiol Cardiothorac ImagingClinical Implementation of Inspiratory-Expiratory Chest CT: Defining Quality Criteria for Diagnostic Quality and Detection of Concurrent FEV1 Decline following Lung Transplantation (opens in a new tab)
- Radiol Cardiothorac ImagingDeep Learning R-Wave Detection for Electrocardiographic Gating in Cardiac MRI (opens in a new tab)
- RadiologyErratum for: Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges (opens in a new tab)
- Magn Reson Med SciFast Non-contrast MR Angiography Using a Zigzag Centric ky - kz k-space Trajectory and Exponential Refocusing Flip Angles with Restoration of Longitudinal Magnetization (opens in a new tab)
- RadiologyGenerative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges (opens in a new tab)
20245 papers
- DiagnosticsApplication of Differential Subsampling with Cartesian Ordering in Evaluating Left Ovarian Venous Reflux for Pretreatment Planning for Pelvic Venous Disorders (opens in a new tab)
- AJR Am J RoentgenolCardiac MRI Field Strength: Counterpoint-Image Quality Gains From Higher SNR Are Achievable at 3 T (opens in a new tab)
- Heart Rhythm O2Characterizing cardiac contractile motion for noninvasive radioablation of ventricular tachycardia (opens in a new tab)
- Radiol Cardiothorac ImagingEvaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning (opens in a new tab)
- Scientific ReportsSimulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder (opens in a new tab)
20238 papers
- J Cardiovasc Magn Reson4D Flow cardiovascular magnetic resonance consensus statement: 2023 update (opens in a new tab)
- J Cardiovasc Magn ResonA deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot (opens in a new tab)
- AJR Am J RoentgenolDeep 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 (opens in a new tab)
- Scientific ReportsDeep learning phase error correction for cerebrovascular 4D flow MRI (opens in a new tab)
- J Vasc Interv RadiolDeep Learning Subtraction Angiography: Improved Generalizability with Transfer Learning (opens in a new tab)
- Radiol Cardiothorac ImagingDeep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI (opens in a new tab)
- Radiol Cardiothorac ImagingMapping the Spatial Extent of Hypoperfusion in Chronic Thromboembolic Pulmonary Hypertension Using Multienergy CT (opens in a new tab)
- RadiographicsMultidisciplinary Approach to Chronic Thromboembolic Pulmonary Hypertension: Role of Radiologists (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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