Faculty

Institution

Unit

Venue

Ken Sauer

Professor Emeritus Electrical Engineering

University of Notre Dame

Affiliations

College of Engineering

Electrical Engineering

Ken Sauer is currently serving as a College Of Engineering Professor Emeritus Electrical Engineering at University of Notre Dame.

Honors

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Experiences

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Education

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Ken Sauer

University of Notre Dame

Professor Emeritus Electrical Engineering

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medical imaging biomedical imaging radiology computed tomography optical engineering image reconstruction computer science machine learning cancer imaging computational imaging computer vision nuclear science medicine biomedical engineering nuclear physics bayesian analysis medical image analysis signal processing digital image processing photonics iterative reconstruction estimation theory 3d reconstruction bayesian estimation image enhancement markov random fields biometrics ct scan positron emission tomography signal reconstruction state estimation image segmentation model-based iterative reconstruction transmission tomograms x-ray ct image denoising object detection noise reduction image coding electronic imaging coordinate descent optimization kinetic parameter images ct image reconstruction statistical tomographic reconstruction medical image computing engineering optimization spectral theory medical technology transaction processing parameter estimation video processing parallel processing 3d pose estimation edge detection magnetic resonance imaging 3d imaging optical imaging spatial data acquisition deformation reconstruction shape modeling feature detection surface analysis multislice helical ct image quality edge-preserving map estimation local update strategy statistical tomography direct reconstruction radiation oncology transmission tomography radiographic imaging statistical methods inverse problems

Notable Scholarly Works

Notable Federal Grants

Collaborators

Computational Imaging XXI Conference Overview and Papers Program. IS&T International Symposium on Electronic Imaging Science and Technology (2023)

Charles BoumanRobert StevensonGregery BuzzardClem KarlEric MillerJoseph O'sullivanHector Santos-VillalobosKen SauerAndre RynbachTony AllenBoyd FowleStanley ChanDoga GursoySven VogelAlexander LongMarkus Strobl

computer sciencepapers programelectronic imagingcomputational imagingdigital image processing

Direct Iterative Reconstruction of Multiple Basis Material Images in Photon-Counting Spectral Ct. arXiv (Cornell University) (2023)

Rahman, ObaidullahSauer, KenEvans, ConnorRoeder, Ryan

photonicsdirect iterative reconstructionimage reconstructionmedical imagingcomputed tomographycomputational imagingphoton-counting spectral ctapplied physicsapplied mathematicsmaterials science

A Noise Preserving Sharpening Filter for Ct Image Enhancement. 2022 IEEE International Conference on Image Processing (ICIP) (2022)

Madhuri NagareJie TangObaidullah RahmanBrian NettRoman MelnykKen D. SauerCharles A. Bouman

noise reductionimage enhancementcomputed tomographyct image enhancementradiologynoise

A Bias-Reducing Loss Function for Ct Image Denoising. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021)

Madhuri NagareRoman MelnykObaidullah RahmanKen D. SauerCharles A. Bouman

computer visionbias-reducing loss functionmedical imagingcomputed tomographyimage denoisingradiologyct image denoising

2.5D Deep Learning for Ct Image Reconstruction Using a Multi-GPU Implementation. arXiv (Cornell University) (2018)

Amirkoushyar ZiabariDong Hye YeSomesh SrivastavaKen D. SauerJean-Baptiste ThibaultCharles A. Bouman

multi-gpu implementationcomputer visiondeep learningimage reconstructionmedical imagingct image reconstructioncomputed tomographyradiologycancer imagingapplied physicsbiomedical imaging

Deep Residual Learning for Model-Based Iterative Ct Reconstruction Using Plug-And-Play Framework. (2018)

Dong Hye YeSomesh SrivastavaJean-Baptiste ThibaultKen SauerCharles Bouman

deep residual learningplug-and-play frameworkdeep learningmedical imagingcomputed tomographyradiologymachine learning

Model Based Iterative Reconstruction With Spatially Adaptive Sinogram Weights for Wide-Cone Cardiac Ct. arXiv (Cornell University) (2018)

Amirkoushyar ZiabariDong Hye YeLin FuSomesh SrivastavaKen D. SauerJean-Baptist ThibaultCharles A. Bouman

cardiologyadaptive sinogram weightsmedical imagingcomputed tomographybiomedical imagingcomputational imagingwide-cone cardiac ctiterative reconstructionapplied mathematicsmachine learning

Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography. IEEE Transactions on Medical Imaging (2018)

Zhiqian ChangDong Hye YeSomesh SrivastavaJean-Baptiste ThibaultKen SauerCharles Bouman

medical imagingcomputed tomographymedical image analysisradiologybiomedical engineeringmedicinebiomedical imagingiterative x-ray

Roi Reconstruction for Model-Based Iterative Reconstruction (Mbir) via a Coupled Dictionary Learning. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2017)

Dong Hye YeSomesh SrivastavaJean-Baptiste ThibaultKen D. SauerCharles A. Bouman

systems engineeringroi reconstructionmachine learningmodel-based iterative reconstructioncoupled dictionary learningmodeling and simulationoptical engineeringmaterials science

A Gaussian Mixture Mrf for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray Ct. IEEE Transactions on Computational Imaging (2016)

Ruoqiao ZhangDong Hye YeDebashish PalJean-Baptiste ThibaultKen D. SauerCharles A. Bouman

computer scienceimage reconstructionmedical imagingmagnetic resonance imagingcomputed tomographylow-dose x-ray ctmedical image analysisradiologycomputational imagingcancer imaging3d imaginggaussian mixture mrfmodel-based iterative reconstructionapplied mathematicsbiomedical imaging

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Ken Sauer

Professor Emeritus Electrical Engineering

University of Notre Dame

Affiliations

College of Engineering

Electrical Engineering

Ken Sauer is currently serving as a College Of Engineering Professor Emeritus Electrical Engineering at University of Notre Dame.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ken Sauer

University of Notre Dame

Professor Emeritus Electrical Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Computational Imaging XXI Conference Overview and Papers Program. IS&T International Symposium on Electronic Imaging Science and Technology (2023)

computer sciencepapers programelectronic imagingcomputational imagingdigital image processing

Direct Iterative Reconstruction of Multiple Basis Material Images in Photon-Counting Spectral Ct. arXiv (Cornell University) (2023)

Rahman, ObaidullahSauer, KenEvans, ConnorRoeder, Ryan

photonicsdirect iterative reconstructionimage reconstructionmedical imagingcomputed tomographycomputational imagingphoton-counting spectral ctapplied physicsapplied mathematicsmaterials science

A Noise Preserving Sharpening Filter for Ct Image Enhancement. 2022 IEEE International Conference on Image Processing (ICIP) (2022)

Madhuri NagareJie TangObaidullah RahmanBrian NettRoman MelnykKen D. SauerCharles A. Bouman

noise reductionimage enhancementcomputed tomographyct image enhancementradiologynoise

A Bias-Reducing Loss Function for Ct Image Denoising. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021)

Madhuri NagareRoman MelnykObaidullah RahmanKen D. SauerCharles A. Bouman

computer visionbias-reducing loss functionmedical imagingcomputed tomographyimage denoisingradiologyct image denoising

2.5D Deep Learning for Ct Image Reconstruction Using a Multi-GPU Implementation. arXiv (Cornell University) (2018)

Amirkoushyar ZiabariDong Hye YeSomesh SrivastavaKen D. SauerJean-Baptiste ThibaultCharles A. Bouman

multi-gpu implementationcomputer visiondeep learningimage reconstructionmedical imagingct image reconstructioncomputed tomographyradiologycancer imagingapplied physicsbiomedical imaging

Deep Residual Learning for Model-Based Iterative Ct Reconstruction Using Plug-And-Play Framework. (2018)

Dong Hye YeSomesh SrivastavaJean-Baptiste ThibaultKen SauerCharles Bouman

deep residual learningplug-and-play frameworkdeep learningmedical imagingcomputed tomographyradiologymachine learning

Model Based Iterative Reconstruction With Spatially Adaptive Sinogram Weights for Wide-Cone Cardiac Ct. arXiv (Cornell University) (2018)

Amirkoushyar ZiabariDong Hye YeLin FuSomesh SrivastavaKen D. SauerJean-Baptist ThibaultCharles A. Bouman

cardiologyadaptive sinogram weightsmedical imagingcomputed tomographybiomedical imagingcomputational imagingwide-cone cardiac ctiterative reconstructionapplied mathematicsmachine learning

Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography. IEEE Transactions on Medical Imaging (2018)

Zhiqian ChangDong Hye YeSomesh SrivastavaJean-Baptiste ThibaultKen SauerCharles Bouman

medical imagingcomputed tomographymedical image analysisradiologybiomedical engineeringmedicinebiomedical imagingiterative x-ray

Dong Hye YeSomesh SrivastavaJean-Baptiste ThibaultKen D. SauerCharles A. Bouman

systems engineeringroi reconstructionmachine learningmodel-based iterative reconstructioncoupled dictionary learningmodeling and simulationoptical engineeringmaterials science

A Gaussian Mixture Mrf for Model-Based Iterative Reconstruction With Applications to Low-Dose X-Ray Ct. IEEE Transactions on Computational Imaging (2016)

Ruoqiao ZhangDong Hye YeDebashish PalJean-Baptiste ThibaultKen D. SauerCharles A. Bouman

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