Faculty

Institution

Unit

Venue

Sabee Y. Molloi

Professor Professor Biomedical Engineering Professor Electrical Engineering and Computer Science

University of California, Irvine

Affiliations

the Henry Samueli School of Engineering

Department of Electrical Engineering and Computer Science

Sabee Y. Molloi is currently serving as an Electrical Engineering And Computer Science Professor Professor Biomedical Engineering Professor Electrical Engineering and Computer Science at University of California, Irvine.

Honors

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Experiences

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Education

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Sabee Y. Molloi

University of California, Irvine

Professor Professor Biomedical Engineering Professor Electrical Engineering and Computer Science

You can click a keyword to filter the displayed items

medical imaging radiology health sciences cardiology biomedical imaging computed tomography applied physics respiratory medicine breast imaging medical technology angiology medical image analysis cardiovascular imaging physics breast cancer cancer imaging cardiovascular disease cardiovascular research coronary artery disease breast arterial calcification computational imaging image analysis medical biophysics radiation detection medical devices instrumentation electrophysiology physical medicine medical image computing simulation study circulatory physiology vascular biology cardiovascular physiology swine model medical physics ct scan breast density dual energy mammography diagnostic imaging postmenopausal women nuclear science 3d imaging image reconstruction blood flow blood flow measurement human physiology dosimetry abdominal imaging accelerator technology accelerator physics computer-aided diagnosis postmortem study ct angiography laboratory medicine animal physiology radiographic imaging biomedical technologies digital subtraction angiography ai healthcare instrument science feasibility study digital angiography advanced energy material applied physiology digital imaging benchmark studies image segmentation cardiac pathologies radiation therapy digital mammography new artificial intelligence quantification coronary arterial tree low doses radiation dose reduction iterative image reconstruction radiation oncology quantitative aspects cardiovascular ct

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Euclidean Distance Transforms: A Fast and Flexible Approach With Multi-Vendor GPU, Multi-Threading, and Multi-Language Support. IEEE Access (2025)

Dale BlackWenbo LiQiyu ZhangSabee Molloi

euclidean distance transformscomputer sciencemassively-parallel computingscientific computingintelligent computinggpu computinginformation technologydeep learningsystems engineeringhardware accelerationcomputer architecturecomputer engineeringdigital image processingsoft computingnumerical linear algebramulti-language supporthigh performance computer architecturemulti-vendor gpugpu benchmarkingparallel computinggeometry processing

AI-Enabled Opportunistic Measurement of Liver Steatosis in Coronary Artery Calcium Scans Predicts Cardiovascular Events and All-Cause Mortality: An AI-Cvd Study Within the Multi-Ethnic Study of Atherosclerosis (Mesa). BMJ Open Diabetes Research & Care (2025)

Morteza NaghaviKyle AtlasAnthony ReevesChenyu ZhangJakob WasserthalThomas AtlasClaudia I HenschkeDavid F YankelevitzJavier J ZuluetaMatthew J BudoffAndrea D BranchNing MaRowena YipWenjun FanSion K RoyKhurram NasirSabee MolloiZahi FayadMichael V McConnellIoannis KakadiarisDavid J MaronJagat NarulaKim WilliamsPrediman K ShahGeorge AbelaRozemarijn VliegenthartDaniel LevyNathan D Wong

computer-aided diagnosisai-cardiovascular diseasenew artificial intelligenceatherosclerosisbiostatisticscoronary artery diseasecardiovascular imagingcoronary artery calciumradiologycardiovascular researchmedical imagingai healthcarecardiovascular diseaseepidemiologybiomarkers

Automated Cardiac Chamber Segmentation Using Non-Contrast Ct Images. Medical Imaging 2018: Computer-Aided Diagnosis (2025)

Qiyu ZhangYumeng ZhangHamidreza Khodajou-ChokamiDean P. NguyenDale BlackWenbo LiJustin TruongSabee Molloi

computer-aided diagnosisnon-contrast ct imagescardiac chamber segmentationmedical image computingmedical image analysisradiologydiagnostic imagingmedical imagingimage segmentation

Automated Extraction of Breast Arterial Calcification Using Deep Convolutional Gan for Enhanced Cardiovascular Risk Assessment. (2025)

Shiva MostafaviWenbo LiJay Phil YooQiyu ZhuangYumeng ZhangChandler PrasetyoSabee Molloi

computer-aided diagnosisbreast arterial calcificationmachine learningearly diagnosisconvolutional neural networksbiomedical engineeringcardiovascular imaginggenerative adversarial networksmedical imagingdeep learningdeep convolutional gan

Deep Learning-Based Segmentation of Heart Chambers and Myocardium From Cardiac Ct Images. Medical Imaging 2018: Physics of Medical Imaging (2025)

Dean NguyenHamidreza Khodajou-ChokamiQiyu ZhuangYumeng ZhangChris ChoSabee Molloi

cardiac ct imagesdeep learning-based segmentationmedical image analysismedical image computingheart chambersmedical imagingdeep learning

Enhancing Breast Arterial Calcification Segmentation: A Comparative Study of AI and Human Reader Variability. (2025)

Wenbo LiJay YooYaru TaoShiva MostafaviYumeng ZhangQiyu ZhangChandler PrasetyoHuanjun DingSabee Molloi

human reader variabilitycomputer-aided diagnosismedical imagingartificial intelligencecomparative studyhealth sciences

Multi-Material Decomposition Using Photon-Counting Ct: Iodine and Residual Error Measurements. Medical Imaging 2018: Physics of Medical Imaging (2025)

Hamidreza Khodajou-ChokamiHuanjun DingDavid ClymerDale BlackJustin TruongQiyu ZhangSabee Molloi

photon-counting ctmulti-material decompositionphoton-counting computed tomographymedical imagingresidual error measurements

Pulmonary Regional Blood Flow: Validation of Low-Dose Two-Volume Dynamic Ct Perfusion Imaging in a Swine Model. European Radiology Experimental (2025)

Yixiao ZhaoNile LuuLogan HubbardShant MalkasianSabee Molloi

medical imagingcomputed tomographyradiology

Quantification of Water and Lipid Composition of Perivascular Adipose Tissue Using Coronary Ct Angiography: A Simulation Study. The International Journal of Cardiovascular Imaging (2025)

Shu NieSabee Molloi

perivascular adipose tissuecoronary ct angiographycardiovascular imaginglipid compositionmedical imagingsimulation study

Validation of a Deep Learning-Based Approach for Automatic Left Ventricular Myocardial Segmentation and Its Efficacy in Clinical Ct Perfusion Measurement. Medical Imaging 2018: Physics of Medical Imaging (2025)

Hamidreza Khodajou-ChokamiQiyu ZhangDean NguyenDale BlackLogan HubbardSabee Molloi

biomedical imagingmedical image computingmedical image analysismachine learningventricular myocardial segmentationradiologydiagnostic imagingmedical imagingcomputed tomographydeep learning

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Sabee Y. Molloi

Professor Professor Biomedical Engineering Professor Electrical Engineering and Computer Science

University of California, Irvine

Affiliations

the Henry Samueli School of Engineering

Department of Electrical Engineering and Computer Science

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Sabee Y. Molloi

University of California, Irvine

Professor Professor Biomedical Engineering Professor Electrical Engineering and Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerating Euclidean Distance Transforms: A Fast and Flexible Approach With Multi-Vendor GPU, Multi-Threading, and Multi-Language Support. IEEE Access (2025)

Dale BlackWenbo LiQiyu ZhangSabee Molloi

Automated Cardiac Chamber Segmentation Using Non-Contrast Ct Images. Medical Imaging 2018: Computer-Aided Diagnosis (2025)

Qiyu ZhangYumeng ZhangHamidreza Khodajou-ChokamiDean P. NguyenDale BlackWenbo LiJustin TruongSabee Molloi

computer-aided diagnosisnon-contrast ct imagescardiac chamber segmentationmedical image computingmedical image analysisradiologydiagnostic imagingmedical imagingimage segmentation

Automated Extraction of Breast Arterial Calcification Using Deep Convolutional Gan for Enhanced Cardiovascular Risk Assessment. (2025)

Shiva MostafaviWenbo LiJay Phil YooQiyu ZhuangYumeng ZhangChandler PrasetyoSabee Molloi

Deep Learning-Based Segmentation of Heart Chambers and Myocardium From Cardiac Ct Images. Medical Imaging 2018: Physics of Medical Imaging (2025)

Dean NguyenHamidreza Khodajou-ChokamiQiyu ZhuangYumeng ZhangChris ChoSabee Molloi

cardiac ct imagesdeep learning-based segmentationmedical image analysismedical image computingheart chambersmedical imagingdeep learning

Enhancing Breast Arterial Calcification Segmentation: A Comparative Study of AI and Human Reader Variability. (2025)

Wenbo LiJay YooYaru TaoShiva MostafaviYumeng ZhangQiyu ZhangChandler PrasetyoHuanjun DingSabee Molloi

human reader variabilitycomputer-aided diagnosismedical imagingartificial intelligencecomparative studyhealth sciences

Multi-Material Decomposition Using Photon-Counting Ct: Iodine and Residual Error Measurements. Medical Imaging 2018: Physics of Medical Imaging (2025)

Hamidreza Khodajou-ChokamiHuanjun DingDavid ClymerDale BlackJustin TruongQiyu ZhangSabee Molloi

photon-counting ctmulti-material decompositionphoton-counting computed tomographymedical imagingresidual error measurements

Pulmonary Regional Blood Flow: Validation of Low-Dose Two-Volume Dynamic Ct Perfusion Imaging in a Swine Model. European Radiology Experimental (2025)

Yixiao ZhaoNile LuuLogan HubbardShant MalkasianSabee Molloi

medical imagingcomputed tomographyradiology

Quantification of Water and Lipid Composition of Perivascular Adipose Tissue Using Coronary Ct Angiography: A Simulation Study. The International Journal of Cardiovascular Imaging (2025)

Shu NieSabee Molloi

perivascular adipose tissuecoronary ct angiographycardiovascular imaginglipid compositionmedical imagingsimulation study

Hamidreza Khodajou-ChokamiQiyu ZhangDean NguyenDale BlackLogan HubbardSabee Molloi

biomedical imagingmedical image computingmedical image analysismachine learningventricular myocardial segmentationradiologydiagnostic imagingmedical imagingcomputed tomographydeep learning

1
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10 / page

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Duke University

radiology

biomedical imaging

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Institution

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Institution

Stanford University

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D. Wilson

Institution

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radiology

biomedical imaging

Krishna Shrinivas Nayak

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University of California, Los Angeles

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biomedical imaging

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G. Allan Johnson

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medical imaging

neuroscience