Faculty

Institution

Unit

Venue

Yoram Bresler

Professor Emeritus

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Yoram Bresler is currently serving as a Bioengineering Professor Emeritus at University of Illinois Urbana-Champaign.

Honors

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Experiences

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Education

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Yoram Bresler

University of Illinois Urbana-Champaign

Professor Emeritus

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computational imaging applied mathematics digital image processing inverse problems signal processing biomedical imaging radiology image reconstruction medical imaging image analysis reconstruction techniques digital signal processing medical image computing signal reconstruction computer science sparse representations compressive sensing data science image representation machine learning computed tomography mathematical optimization statistical signal processing numerical algorithms sampling (signal processing) image denoising computational statistics machine learning research computational optimization convex analysis medical physics estimation theory image restoration machine vision linear algebra sampling theory magnetic resonance imaging information fusion medical image analysis low-rank approximation deconvolution 3d reconstruction array processing synthetic aperture radar advanced imaging cardiovascular imaging lower bounds 3d imaging parameter estimation sensor arrays transform learning image patches new algorithm multidimensional signal processing spectrum estimation dynamic programming multimedia information processing blind deconvolution image quality multi-image fusion phase calibration regularization (mathematics) video denoising signal detection data compression digital filter perfect reconstruction compressed sensing minimization algorithm dynamic mri synthesis dictionaries convergence guarantees diffuse optical tomography unknown view angles sparse power factorization local minima big data

Notable Scholarly Works

Notable Federal Grants

Collaborators

Opportunities and Challenges in Learning to Bound. (2025)

Hai Victor HabiHagit MesserYoram Bresler

learning sciencesapproximate reasoningcomputational complexitymachine learning researchautomated reasoningcomputational intelligencelearning problemscomputer sciencemachine learninglearning theorylearning analyticscomputational learning theoryartificial intelligence

Learning the Barankin Lower Bound on Doa Estimation Error. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Hai Victor HabiHagit MesserYoram Bresler

gaussian signalapplied mathematicsmachine learning researchinformation theorythreshold snrapplied probabilitygaussian analysiscomputer sciencecomputational statisticsmachine learningstatistical inferencestatistical signal processinggaussian processestimation theorysignal processinggaussian noise

Red-Psm: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. IEEE Transactions on Computational Imaging (2024)

Berk IskenderMarc L. KlaskyYoram Bresler

sparse representationsbiomedical imagingimage representationapplied mathematicsimage restorationrecent regularizationdynamic imagingimage reconstructioncomputational imaginglow-rank priordigital image processingradiologyimage analysisimage denoisingmedical imaginglow-rank approximationinverse problems

Dynamic Tomography Reconstruction via Low-Rank Modeling With a Red Spatial Prior. (2023)

Berk IskenderMarc L. KlaskyYoram Bresler

biomedical imagingapplied mathematicsimage reconstructionbiological imagingcomputational imagingdynamic tomography reconstructionpsm methoddigital image processingradiologyimage denoisingmedical imagingreconstruction techniquesdynamic tomographyinverse problems

Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Berk IskenderMarc L. KlaskyBrian M. PattersonYoram Bresler

biomedical imagingimage reconstructioncomputational imagingprojection-domain spatio-temporal regularizationdigital image processingradiologyimage analysisdynamic tomographyobject-domain recovery algorithmmedical imagingreconstruction techniquesdeep learninginverse problems

Generative Models for Inverse Imaging Problems: From Mathematical Foundations to Physics-Driven Applications. IEEE Signal Processing Magazine (2023)

Zhizhen ZhaoJong Chul YeYoram Bresler

biomedical imagingapplied mathematicsimaging problemcomputational imagingmachine learningdigital image processingradiologyinverse imaging problemsgenerative adversarial networksgenerative modelsinverse problems

Learned Generative Misspecified Lower Bound. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Hai Victor HabiHagit MesserYoram Bresler

generative aistatistical modelsinferencebayesian analysismachine learning researchstatistical methodologycomputer sciencecomputational statisticsmachine learningstatistical inferencesamplinguncertainty quantificationlower boundsestimation theorygenerative modelsmodel misspecificationstatistics

Learning to Bound: A Generative CraméR-Rao Bound. IEEE Transactions on Signal Processing (2023)

Hai Victor HabiHagit MesserYoram Bresler

image denoisingmachine learning researchcomputer sciencecomputational statisticsmachine learningstatistical inferencedigital image processingedge detectionhigh-dimensional statisticscramér-rao boundgenerative adversarial networksgenerative modelsstatistics

Red-Psm: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)

Berk IskenderMarc L. KlaskyYoram Bresler

biomedical imagingimage restorationapplied mathematicsrecent regularizationdynamic imagingimage reconstructioncomputational imagingdigital image processingimage analysisimage denoisingmedical imagingdynamic tomographyinverse problems

Table of Contents. IEEE Signal Processing Magazine (2023)

Bihan WenSaiprasad RavishankarZhizhen ZhaoRaja GiryesJong YeZhiyuan ZhaXin YuanJiantao ZhouCe ZhuJonathan DongLorenzo ValzaniaAntoine MaillardThanh-An PhamSylvain GiganMichael UnserJian ZhangBin ChenRuiqin XiongYongbing ZhangWeisheng DongJinjian WuLeida LiGuangming ShiXin LiUlugbek KamilovCharles BoumanGregery BuzzardBrendt WohlbergKerstin HammernikThomas KüstnerBurhaneddin YamanZhengnan HuangDaniel RueckertFlorian KnollMehmet AkçakayaYouzuo LinJames TheilerDongdong ChenMike DaviesMatthias EhrhardtCarola-Bibiane SchönliebFerdia SherryJulián TachellaYoram BreslerSubhadip MukherjeeAndreas HauptmannOzan ÖktemMarcelo PereyraChristian Jutten

scientific computingbiomedical imagingimage representationadvanced imagingimage reconstructiongeometric learningcomputational imagingmachine learningphysic aware machine learningdata sciencephysicsradiologyconvolutional neural networksdeep learningneural network (machine learning)

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Yoram Bresler

Professor Emeritus

University of Illinois Urbana-Champaign

Affiliations

The Grainger College of Engineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Yoram Bresler is currently serving as a Bioengineering Professor Emeritus at University of Illinois Urbana-Champaign.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yoram Bresler

University of Illinois Urbana-Champaign

Professor Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Opportunities and Challenges in Learning to Bound. (2025)

Hai Victor HabiHagit MesserYoram Bresler

Learning the Barankin Lower Bound on Doa Estimation Error. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Hai Victor HabiHagit MesserYoram Bresler

Red-Psm: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. IEEE Transactions on Computational Imaging (2024)

Berk IskenderMarc L. KlaskyYoram Bresler

Dynamic Tomography Reconstruction via Low-Rank Modeling With a Red Spatial Prior. (2023)

Berk IskenderMarc L. KlaskyYoram Bresler

Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Berk IskenderMarc L. KlaskyBrian M. PattersonYoram Bresler

Generative Models for Inverse Imaging Problems: From Mathematical Foundations to Physics-Driven Applications. IEEE Signal Processing Magazine (2023)

Zhizhen ZhaoJong Chul YeYoram Bresler

Learned Generative Misspecified Lower Bound. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023)

Hai Victor HabiHagit MesserYoram Bresler

Learning to Bound: A Generative CraméR-Rao Bound. IEEE Transactions on Signal Processing (2023)

Hai Victor HabiHagit MesserYoram Bresler

Red-Psm: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)

Berk IskenderMarc L. KlaskyYoram Bresler

Table of Contents. IEEE Signal Processing Magazine (2023)

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image formation theory

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