Faculty

Institution

Unit

Venue

Yoram Bresler

Professor Emeritus

UIUC

Affiliations

The Grainger College of Engineering

Bioengineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Yoram Bresler is currently serving as a Bioengineering Professor Emeritus at Uiuc.

Honors

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Experiences

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Education

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Yoram Bresler

UIUC

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

artificial intelligencecomputer sciencelearning theorylearning sciencescomputational complexitycomputational learning theorylearning problemslearning analyticsmachine learning researchcomputational intelligenceapproximate reasoningautomated reasoningmachine learning

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

computer scienceapplied probabilitygaussian noisesignal processinggaussian analysisgaussian processestimation theorystatistical signal processingthreshold snrmachine learning researchcomputational statisticsinformation theorystatistical inferenceapplied mathematicsmachine learninggaussian signal

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

Berk IskenderMarc L. KlaskyYoram Bresler

low-rank approximationlow-rank priorimage restorationimage reconstructionsparse representationsmedical imagingimage denoisingradiologycomputational imagingrecent regularizationdigital image processingdynamic imaginginverse problemsimage representationimage analysisapplied mathematicsbiomedical imaging

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

Berk IskenderMarc L. KlaskyYoram Bresler

reconstruction techniquespsm methodbiological imagingimage reconstructionmedical imagingdynamic tomography reconstructionimage denoisingradiologycomputational imagingdynamic tomographydigital image processinginverse problemsapplied mathematicsbiomedical imaging

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

reconstruction techniquesprojection-domain spatio-temporal regularizationdeep learningimage reconstructionmedical imagingradiologycomputational imagingdynamic tomographydigital image processingobject-domain recovery algorithminverse problemsimage analysisbiomedical imaging

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

Zhizhen ZhaoJong Chul YeYoram Bresler

inverse imaging problemsgenerative adversarial networksimaging problembiomedical imagingradiologycomputational imagingdigital image processinginverse problemsgenerative modelsapplied mathematicsmachine learning

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

Hai Victor HabiHagit MesserYoram Bresler

computer sciencestatistical methodologylower boundsinferencemodel misspecificationsamplingestimation theorymachine learninggenerative aimachine learning researchuncertainty quantificationcomputational statisticsgenerative modelsstatistical inferencebayesian analysisstatisticsstatistical models

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

Hai Victor HabiHagit MesserYoram Bresler

computer sciencegenerative adversarial networksedge detectioncramér-rao boundimage denoisingstatisticsdigital image processingmachine learning researchcomputational statisticsgenerative modelsstatistical inferencemachine learninghigh-dimensional statistics

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

image restorationimage reconstructionmedical imagingimage denoisingcomputational imagingrecent regularizationdigital image processingdynamic imaginginverse problemsdynamic tomographyimage analysisapplied mathematicsbiomedical imaging

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

convolutional neural networksgeometric learningphysic aware machine learningdeep learningadvanced imagingphysicsimage reconstructionscientific computingbiomedical imagingradiologycomputational imagingneural network (machine learning)data scienceimage representationmachine learning

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Yoram Bresler

Professor Emeritus

UIUC

Affiliations

The Grainger College of Engineering

Bioengineering

Department of Bioengineering

Department of Electrical and Computer Engineering

Electrical & Computer Engineering

Yoram Bresler is currently serving as a Bioengineering Professor Emeritus at Uiuc.

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

UIUC

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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