Faculty

Institution

Unit

Venue

Yongyi Yang

Harris Perlstein Professor of Electrical and Computer Engineering Professor of Biomedical Engineering

Illinois Institute of Technology

Affiliations

Armour College of Engineering

Electrical and Computer Engineering

Yongyi Yang is currently serving as an Armour College Of Engineering Harris Perlstein Professor of Electrical and Computer Engineering Professor of Biomedical Engineering at Illinois Institute of Technology.

Honors

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Experiences

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Education

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Yongyi Yang

Illinois Institute of Technology

Harris Perlstein Professor of Electrical and Computer Engineering Professor of Biomedical Engineering

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medical imaging biomedical imaging health sciences radiology deep learning computer science machine learning medical image analysis nuclear cardiology image analysis image reconstruction computational imaging computer vision breast imaging optical engineering breast cancer medicine cardiology medical image computing clustered microcalcifications digital image processing cancer imaging medical technology computed tomography nuclear science signal reconstruction computer-aided diagnosis image retrieval respiratory medicine image denoising image compression data compression diagnostic imaging cancer detection gated cardiac spect cardiac spect image segmentation multimedia security image restoration digital watermarking content-based image retrieval relevance feedback optical metrology mammogram retrieval data security nuclear medicine support vector machines magnetic resonance imaging optical information processing positron emission tomography nuclear engineering benchmark studies spatio-temporal models perfusion defect detection numerical observer information technology classification method multiple-image radiography motion-compensated reconstruction machine vision microwave technology image representation image quality assessment radio engineering radio propagation vector space projections automatic detection relevance vector machine multispectral mri prostate cancer segmentation breast cancer diagnosis diagnostic accuracy cardiac perfusion spect health technology communication security information forensics tomographic image reconstruction digital imaging statistical methods inverse problems

Notable Scholarly Works

Notable Federal Grants

Collaborators

Weight-Based Determination of Administered Activity in 99Mtc-Dmsa Renal Spect in Infants: Are Minimum Administered Activities Necessary?. Pediatric Radiology (2025)

Neha KwatraP. Hendrik PretoriusS. Ted TrevesReza ValiValentina Ferrer ValenciaWeibin FuXinhua CaoYongyi YangMichael KingFrederic H. Fahey

pediatricsmedical imaging

Adaptive Learning Approach to Improve Generalization Performance of a Domain-Aware CNN-Based Ideal Model Observer. (2024)

Nebojsa BogdanovicCraig K. AbbeyYongyi YangJovan G. Brankov

artificial intelligencesystems engineeringconvolutional neural networksgeneralization performancemachine learning

Cardiac Motion Correction With a Deep Learning Network for Perfusion Defect Assessment in Spect Myocardial Perfusion Imaging. Journal of Nuclear Cardiology (2024)

Xirang ZhangYongyi YangP Hendrik PretoriusPiotr J SlomkaMichael A King

deep learning networkcomputer-aided diagnosisfunctional imagingcardiac motion correctionnuclear medicinedeep learningnuclear cardiologyradiologycardiovascular imagingmyocardial infarctioncardiologymedical imagingthrombosiscardiac careneuroimagingmedical image computingneurologycardiac mechanicsbiomedical engineeringperfusion defect assessmentcardiac pathologies

Dynamics of Concept Learning and Compositional Generalization. arXiv (Cornell University) (2024)

Yang, YongyiPark, Core FranciscoLubana, Ekdeep SinghOkawa, MayaHu, WeiTanaka, Hidenori

concept learningcompositional generalizationmachine learningcognitive science

Edge-Preserving, CNN Based, Denoising in Low Dose Spect Myocardial Perfusion Imaging. Medical Imaging 2022: Image Processing (2024)

Mehdi ToumiYongyi YangHendrik PretoriusMichael A. KingJovan G. Brankov

convolutional neural networksdeep learningmedical imagingbiomedical imagingradiologycomputational imagingimage denoisingneuroimagingmachine learning

ICLR: In-Context Learning of Representations. arXiv (Cornell University) (2024)

Park, Core FranciscoLee, AndrewLubana, Ekdeep SinghYang, YongyiOkawa, MayaNishi, KentoWattenberg, MartinTanaka, Hidenori

computer sciencedata-driven learningin-context learningnatural language processingmachine learning

Improving Temporal Resolution in Clinical Cardiac-Gated Spect Studies via Surrogate Training in Deep Learning Denoising. (2024)

Xirang ZhangYongyi YangJovan G. BrankovP. Hendrik PretoriusMichael A. King

lateral spreadfunctional imagingneurosciencebiomedical imagingdeep learningnuclear cardiologyradiologycardiovascular imagingphysiological measurementsechocardiographycardiologymedical imagingimage denoisingneuroimagingbiophysicsmedical biophysicsdirect observationsurrogate trainingcardiac pathologiestemporal resolution

Investigation of Scatter Energy Window Width and Count Levels for Deep Learning-Based Attenuation Map Estimation in Cardiac Spect/Ct Imaging. Physics in Medicine and Biology (2024)

Yuan ChenP Hendrik PretoriusYongyi YangMichael A KingClifford Lindsay

ct scanradiomicsbiomedical imagingmachine learningdeep learningadvanced imagingnuclear cardiologyradiologycardiovascular imagingmedical ultrasoundmedical imagingcomputed tomographymolecular imagingimage analysisbiophysicsmedical image computingcomputational imagingbiomedical engineeringcount levels

Temporal Regularization for Robust Motion Compensation in Reduced Dose Cardiac-Gated Spect Images. 2022 IEEE International Conference on Image Processing (ICIP) (2024)

Xirang ZhangYongyi YangJovan G. BrankovP. Hendrik PretoriusMichael A. King

neurosciencenuclear medicinespatio-temporal modelsbiomedical imagingadvanced imagingnuclear cardiologyradiologycardiovascular imagingparameter identificationrobust motion compensationsmart imagingcardiologymedical imagingtemporal regularizationneuroimagingimage analysismedical image computingbiomedical engineeringdigital image processingradar image processing

The Anti‐Hyperplasia Effect of Polysaccharide From Prunella Vulgaris L. on Mammary Gland Hyperplasia in Rats Through Regulation of the Akt ‐ Foxo3A Signaling Pathway and Intestinal Flora. Journal of the Science of Food and Agriculture (2024)

Hong ZhaoYongyi YangYingming ZhouHan WenChen ChenChangxu LiYao FengLili LiXiaoliang Li

reproductive biologymammary gland hyperplasiamammary glanddermatologybotanypolysaccharidesanti-hyperplasia effectpharmacologyurologymammalian biologydairy sciencelivestock science

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Yongyi Yang

Harris Perlstein Professor of Electrical and Computer Engineering Professor of Biomedical Engineering

Illinois Institute of Technology

Affiliations

Armour College of Engineering

Electrical and Computer Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Yongyi Yang

Illinois Institute of Technology

Harris Perlstein Professor of Electrical and Computer Engineering Professor of Biomedical Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Weight-Based Determination of Administered Activity in 99Mtc-Dmsa Renal Spect in Infants: Are Minimum Administered Activities Necessary?. Pediatric Radiology (2025)

Neha KwatraP. Hendrik PretoriusS. Ted TrevesReza ValiValentina Ferrer ValenciaWeibin FuXinhua CaoYongyi YangMichael KingFrederic H. Fahey

pediatricsmedical imaging

Adaptive Learning Approach to Improve Generalization Performance of a Domain-Aware CNN-Based Ideal Model Observer. (2024)

Nebojsa BogdanovicCraig K. AbbeyYongyi YangJovan G. Brankov

artificial intelligencesystems engineeringconvolutional neural networksgeneralization performancemachine learning

Cardiac Motion Correction With a Deep Learning Network for Perfusion Defect Assessment in Spect Myocardial Perfusion Imaging. Journal of Nuclear Cardiology (2024)

Xirang ZhangYongyi YangP Hendrik PretoriusPiotr J SlomkaMichael A King

Dynamics of Concept Learning and Compositional Generalization. arXiv (Cornell University) (2024)

Yang, YongyiPark, Core FranciscoLubana, Ekdeep SinghOkawa, MayaHu, WeiTanaka, Hidenori

concept learningcompositional generalizationmachine learningcognitive science

Edge-Preserving, CNN Based, Denoising in Low Dose Spect Myocardial Perfusion Imaging. Medical Imaging 2022: Image Processing (2024)

Mehdi ToumiYongyi YangHendrik PretoriusMichael A. KingJovan G. Brankov

convolutional neural networksdeep learningmedical imagingbiomedical imagingradiologycomputational imagingimage denoisingneuroimagingmachine learning

ICLR: In-Context Learning of Representations. arXiv (Cornell University) (2024)

Park, Core FranciscoLee, AndrewLubana, Ekdeep SinghYang, YongyiOkawa, MayaNishi, KentoWattenberg, MartinTanaka, Hidenori

computer sciencedata-driven learningin-context learningnatural language processingmachine learning

Improving Temporal Resolution in Clinical Cardiac-Gated Spect Studies via Surrogate Training in Deep Learning Denoising. (2024)

Xirang ZhangYongyi YangJovan G. BrankovP. Hendrik PretoriusMichael A. King

Investigation of Scatter Energy Window Width and Count Levels for Deep Learning-Based Attenuation Map Estimation in Cardiac Spect/Ct Imaging. Physics in Medicine and Biology (2024)

Yuan ChenP Hendrik PretoriusYongyi YangMichael A KingClifford Lindsay

Temporal Regularization for Robust Motion Compensation in Reduced Dose Cardiac-Gated Spect Images. 2022 IEEE International Conference on Image Processing (ICIP) (2024)

Xirang ZhangYongyi YangJovan G. BrankovP. Hendrik PretoriusMichael A. King

Hong ZhaoYongyi YangYingming ZhouHan WenChen ChenChangxu LiYao FengLili LiXiaoliang Li

reproductive biologymammary gland hyperplasiamammary glanddermatologybotanypolysaccharidesanti-hyperplasia effectpharmacologyurologymammalian biologydairy sciencelivestock science

1
2
3
4
5
29
10 / page

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Similar Faculty Members

Miles Wernick

Institution

Illinois Institute of Technology

medical imaging

medical image computing

Jovan Brankov

Institution

Illinois Institute of Technology

pattern recognition

medical imaging

Dana Brooks

Institution

Northeastern University

medical imaging

neuroscience

Hengyong Yu

Institution

University of Massachusetts Lowell

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digital image processing

Youngho Seo

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Jinyi Qi

Institution

University of California, Davis

radiology

biomedical imaging

Adel S Elmaghraby

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neural networks

intelligent systems

Howard Gifford

Institution

University of Houston

radiology

spect reconstruction

Matthew Kupinski

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medical imaging

image processor

Joseph O'Sullivan

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information theory

medical imaging