Faculty

Institution

Unit

Venue

Frederic Noo

Professor

University of Utah

Affiliations

John and Marcia Price College of Engineering

Electrical and Computer Engineering

Spencer Fox Eccles School of Medicine

Radiology & Imaging Sciences

Frederic Noo is currently serving as an Electrical And Computer Engineering Professor at University of Utah.

Honors

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Experiences

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Education

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Frederic Noo

University of Utah

Professor

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medical imaging biomedical imaging computed tomography applied physics nuclear science nuclear physics medicine physics cancer imaging image reconstruction biophysics optical engineering ct scan medical image analysis particle physics physical medicine medical physics computational imaging neuroimaging inverse problems machine learning 3d imaging cone-beam reconstruction cone-beam tomography medical technology mathematical physics instrumentation respiratory medicine medical biophysics nuclear engineering image formation helical cone-beam ct positron emission tomography c-arm system helical cone-beam tomography redundant data nuclear medicine angiology advanced imaging interior problem long-object cone-beam imaging x-ray computed tomography cone-beam data particle beam mathematical optimization medical image computing vascular biology biomedical technologies channel estimation x-ray spectroscopy plasma medicine radiation biology x-ray diffraction long-object problem lesion detectability truncated projections cone-beam scanners open-source implementation technical note protein science fusion engineering waste management parameter identification spectral imaging liver cancer cancer screening data augmentation model comparison esg performance medical electronics state estimation statistical signal processing filter design comparative methods optical metrology

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Study on the Accuracy of Polynomial Fitting for Direct Computation of Material Lengths From Projection Data in Dual Energy Ct. Medical Imaging 2018: Physics of Medical Imaging (2023)

Viktor HaaseKarl StierstorferAndreas MaierFrédéric Noo

projection datadual energy ctdirect computationimage analysismaterial lengthsmaterials sciencepolynomial fitting

Deep Learning Subtraction Angiography: Improved Generalizability With Transfer Learning. Journal of Vascular and Interventional Radiology (2022)

Brendan T. CrabbForrest HamrickTyler RichardsPreston EiswirthFrederic NooAlbert HsiaoGabriel C. Fine

transfer learningvascular biologycardiologyangiologydeep learninginterventional radiologymedical imagingradiology

Linearized Analysis of Noise and Resolution for DL-Based Image Generation. IEEE Transactions on Medical Imaging (2022)

Jingyan XuFrederic Noo

computer scienceimage resolutioncomputer visiondigital imagingengineeringmedical imagingbiomedical imagingcomputational imagingbiomedical engineeringdl-based image generationmachine learningnoise

Reproducibility in Dual Energy Ct: The Impact of a Projection Domain Material Decomposition Method. 7th International Conference on Image Formation in X-Ray Computed Tomography (2022)

Viktor HaaseFrédéric NooKarl StierstorferAndreas MaierMichael McNitt-Gray

medical imagingcomputed tomographydual energy ctradiologyimage formation

Science and Practice of Imaging Physics Through 50 Years of Spie Medical Imaging Conferences. Journal of Medical Imaging (2022)

Adam S. WangIan A. CunninghamMats DanielssonRebecca FahrigThomas FlohrFrederic NooAnders TingbergWei ZhaoEhsan SameiChristoph HoeschenJohn M. SabolJeffrey H. SiewerdsenJohn I. Yorkston

medical imaginghealth sciences

Single‐Material Beam Hardening Correction via an Analytical Energy Response Model for Diagnostic Ct. Medical Physics (2022)

Viktor HaaseKatharina HahnHarald SchöndubeKarl StierstorferAndreas MaierFrédéric Noo

diagnostic imagingct scanmedical imagingdiagnostic ctcomputed tomographyapplied physicssingle-material beam

Towards Enabling Better Evaluation of Emphysema: Investigation Into a Method to Reduce the Variability of Lung Ct Attenuation Values Due to Patient Size and Positioning. Medical Imaging 2022: Physics of Medical Imaging (2022)

Viktor HaaseFrédéric NooKarl StierstorferMichael McNitt-Gray

patient sizemedical imagingrespiratory medicinecomputed tomographyradiologymedicinesurvival analysishealth sciencesbiomedical imaging

Convex Optimization Algorithms in Medical Image Reconstruction—in the Age of AI. Physics in Medicine and Biology (2021)

Jingyan XuFrédéric Noo

physicsmedical imagingmedical image reconstructionconvex optimization algorithms

Efficient Gradient Computation for Optimization of Hyperparameters. Physics in Medicine and Biology (2021)

Jingyan XuFrederic Noo

biophysicsefficient gradient computationphysicsapplied physicsmachine learning

Estimation of Statistical Weights for Model-Based Iterative Ct Reconstruction. Medical Imaging 2018: Physics of Medical Imaging (2021)

Viktor HaaseKarl StierstorferKatharina HahnHarald SchöndubeAndreas MaierFrédéric Noo

statistical weightsmedical imagingcomputed tomographystatistics

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Frederic Noo

Professor

University of Utah

Affiliations

John and Marcia Price College of Engineering

Electrical and Computer Engineering

Spencer Fox Eccles School of Medicine

Radiology & Imaging Sciences

Frederic Noo is currently serving as an Electrical And Computer Engineering Professor at University of Utah.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Frederic Noo

University of Utah

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Study on the Accuracy of Polynomial Fitting for Direct Computation of Material Lengths From Projection Data in Dual Energy Ct. Medical Imaging 2018: Physics of Medical Imaging (2023)

Viktor HaaseKarl StierstorferAndreas MaierFrédéric Noo

projection datadual energy ctdirect computationimage analysismaterial lengthsmaterials sciencepolynomial fitting

Deep Learning Subtraction Angiography: Improved Generalizability With Transfer Learning. Journal of Vascular and Interventional Radiology (2022)

Brendan T. CrabbForrest HamrickTyler RichardsPreston EiswirthFrederic NooAlbert HsiaoGabriel C. Fine

transfer learningvascular biologycardiologyangiologydeep learninginterventional radiologymedical imagingradiology

Linearized Analysis of Noise and Resolution for DL-Based Image Generation. IEEE Transactions on Medical Imaging (2022)

Jingyan XuFrederic Noo

computer scienceimage resolutioncomputer visiondigital imagingengineeringmedical imagingbiomedical imagingcomputational imagingbiomedical engineeringdl-based image generationmachine learningnoise

Reproducibility in Dual Energy Ct: The Impact of a Projection Domain Material Decomposition Method. 7th International Conference on Image Formation in X-Ray Computed Tomography (2022)

Viktor HaaseFrédéric NooKarl StierstorferAndreas MaierMichael McNitt-Gray

medical imagingcomputed tomographydual energy ctradiologyimage formation

Science and Practice of Imaging Physics Through 50 Years of Spie Medical Imaging Conferences. Journal of Medical Imaging (2022)

Adam S. WangIan A. CunninghamMats DanielssonRebecca FahrigThomas FlohrFrederic NooAnders TingbergWei ZhaoEhsan SameiChristoph HoeschenJohn M. SabolJeffrey H. SiewerdsenJohn I. Yorkston

medical imaginghealth sciences

Single‐Material Beam Hardening Correction via an Analytical Energy Response Model for Diagnostic Ct. Medical Physics (2022)

Viktor HaaseKatharina HahnHarald SchöndubeKarl StierstorferAndreas MaierFrédéric Noo

diagnostic imagingct scanmedical imagingdiagnostic ctcomputed tomographyapplied physicssingle-material beam

Viktor HaaseFrédéric NooKarl StierstorferMichael McNitt-Gray

patient sizemedical imagingrespiratory medicinecomputed tomographyradiologymedicinesurvival analysishealth sciencesbiomedical imaging

Convex Optimization Algorithms in Medical Image Reconstruction—in the Age of AI. Physics in Medicine and Biology (2021)

Jingyan XuFrédéric Noo

physicsmedical imagingmedical image reconstructionconvex optimization algorithms

Efficient Gradient Computation for Optimization of Hyperparameters. Physics in Medicine and Biology (2021)

Jingyan XuFrederic Noo

biophysicsefficient gradient computationphysicsapplied physicsmachine learning

Estimation of Statistical Weights for Model-Based Iterative Ct Reconstruction. Medical Imaging 2018: Physics of Medical Imaging (2021)

Viktor HaaseKarl StierstorferKatharina HahnHarald SchöndubeAndreas MaierFrédéric Noo

statistical weightsmedical imagingcomputed tomographystatistics

1
2
3
4
5
20
10 / page

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radiology

biomedical imaging

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University at Buffalo

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