Faculty

Institution

Unit

Venue

Justin P. Haldar

Professor of Electrical and Computer Engineering and Biomedical Engineering

University of Southern California

Affiliations

School of Engineering

Ming Hsieh Department of Electrical and Computer Engineering

Justin P. Haldar is currently serving as a Ming Electrical And Computer Engineering Professor of Electrical and Computer Engineering and Biomedical Engineering at University of Southern California.

Honors

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Experiences

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Education

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Justin P. Haldar

University of Southern California

Professor of Electrical and Computer Engineering and Biomedical Engineering

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biomedical imaging medical imaging magnetic resonance imaging radiology medical image computing neuroimaging computational imaging neuroscience digital image processing image reconstruction inverse problems brain imaging reconstruction techniques image analysis biological imaging advanced imaging magnetic resonance medical image analysis biomedical engineering medicine signal reconstruction neuroradiology machine learning signal processing compressive sensing brain mapping image representation image denoising developmental cognitive neuroscience sparse representations scientific computing diffusion mri 3d imaging spinal cord image registration magnetic resonance spectroscopy low-rank approximation quantitative phase imaging mr image reconstruction cardiovascular imaging brain science low-rank modeling image restoration brain structure joint partial separability local k-space neighborhoods biomedical informatics light microscopy edge constraints canonical granger causality mri reconstruction music perception experiment design brain organization new scheme field inhomogeneity magnetic resonance fingerprinting optimal experiment design developmental psychology optimal experimental design gpu computing microscope image processing bioimage analysis cortical remodeling matrix factorization partial separability magnetic field inhomogeneity spatial resolution image reconstruction problem early childhood early childhood development nuclear cardiology model compression benchmark datasets image compression neural science applied mathematics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Rethinking Model-Based Non-Cartesian Fourier Imaging: A New K-Space Model. (2025)

reconstruction techniquescomputational imagingnew k-space modelimage reconstructionadvanced imagingbiomedical imagingapplied mathematicsinverse problems

Rovir Enables Substantially Easier Real-Time Imaging of Small Regions-Of-Interest. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025)

computer graphicscomputational imagingdigital image processingadvanced imagingmedical image computingsmall regions-of-interestdigital imagingbiomedical imagingmedical imagingradiologybiological imaging

An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping With Applications to Multicomponent Diffusion and Relaxation Mri. arXiv (Cornell University) (2024)

Liu, YunsongMandal, DebdutLiao, CongyuSetsompop, KawinHaldar, Justin P.

computational imagingmagnetic resonance imagingmedical image analysisneuroimagingrelaxation mrineurosciencebrain mappingefficient algorithmimage analysismedical imagingbiomedical imagingapplied mathematicsbrain imagingcomputational neuroscience

Blip-Up Blip-Down Circular Epi (Buda-Cepi) for Distortion-Free Dmri With Rapid Unrolled Deep Learning Reconstruction. Magnetic Resonance Imaging (2024)

Uten YarachItthi ChatnuntawechCongyu LiaoSurat TeerapittayanonSiddharth Srinivasan IyerTae Hyung KimJustin HaldarJaejin ChoBerkin BilgicYuxin HuBrian HargreavesKawin Setsompop

deep learningimage reconstructionneuroimagingneurosciencebiomedical imagingdistortion-free dmri

Diffusion Tensor Brain Imaging at 0.55T: A Feasibility Study. Magnetic Resonance in Medicine (2024)

Hao‐Ting KungSophia X. CuiJonas T. KaplanAnand A. JoshiRichard M. LeahyKrishna S. NayakJustin P. Haldar

magnetic resonance imagingmedicineneuroimagingneurosciencediffusionmagnetic resonancefeasibility studybrain imaging

Measuring Spatiotemporal Resolution in Real-Time Mri. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024)

Chin-Cheng ChanJustin Haldar

magnetic resonance imagingmedical imagingmagnetic resonancespatiotemporal resolutionreal-time mri

New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024)

Rodrigo LobosChin-Cheng ChanJustin Haldar

magnetic resonance imagingmagnetic resonanceradiology

Spherical Echo-Planar Time-Resolved Imaging (Septi) for 3D Highly-Accelerated, Distortion-Free, Time-Resolved Whole-Brain T2* Mapping. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024)

Nan WangYannick BrackenierCongyu LiaoSiddharth IyerXiaozhi CaoJustin HaldarKawin Setsompop

magnetic resonance imagingneuroimagingneurosciencebrain mappingbiomedical imagingmedical imagingmagnetic resonancebrain imaging3d imaging

Spherical Echo‐Planar Time‐Resolved Imaging (Septi) for Rapid 3D Quantitative T2* and Susceptibility Imaging. Magnetic Resonance in Medicine (2024)

Nan WangCongyu LiaoXiaozhi CaoMark NishimuraYannick W. E. BrackenierMahmut YurtMengze GaoDaniel AbrahamCagan AlkanSiddharth Srinivasan IyerZihan ZhouHwihun JeongAdam KerrJustin P. HaldarKawin Setsompop

materials sciencebrain imagingbiophysicsadvanced imagingbiomedical imagingmolecular biologysusceptibility imagingbiological imaging3d imaging

The “Hidden Noise” Problem in Mr Image Reconstruction. Magnetic Resonance in Medicine (2024)

Jiayang WangDi AnJustin P. Haldar

magnetic resonance imaginghealth sciencesmedicineimage reconstructionneurosciencemr image reconstructionmedical imaginghidden noisemagnetic resonance

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Justin P. Haldar

Professor of Electrical and Computer Engineering and Biomedical Engineering

University of Southern California

Affiliations

School of Engineering

Ming Hsieh Department of Electrical and Computer Engineering

Justin P. Haldar is currently serving as a Ming Electrical And Computer Engineering Professor of Electrical and Computer Engineering and Biomedical Engineering at University of Southern California.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Justin P. Haldar

University of Southern California

Professor of Electrical and Computer Engineering and Biomedical Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Rethinking Model-Based Non-Cartesian Fourier Imaging: A New K-Space Model. (2025)

reconstruction techniquescomputational imagingnew k-space modelimage reconstructionadvanced imagingbiomedical imagingapplied mathematicsinverse problems

An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping With Applications to Multicomponent Diffusion and Relaxation Mri. arXiv (Cornell University) (2024)

Liu, YunsongMandal, DebdutLiao, CongyuSetsompop, KawinHaldar, Justin P.

Blip-Up Blip-Down Circular Epi (Buda-Cepi) for Distortion-Free Dmri With Rapid Unrolled Deep Learning Reconstruction. Magnetic Resonance Imaging (2024)

Uten YarachItthi ChatnuntawechCongyu LiaoSurat TeerapittayanonSiddharth Srinivasan IyerTae Hyung KimJustin HaldarJaejin ChoBerkin BilgicYuxin HuBrian HargreavesKawin Setsompop

deep learningimage reconstructionneuroimagingneurosciencebiomedical imagingdistortion-free dmri

Diffusion Tensor Brain Imaging at 0.55T: A Feasibility Study. Magnetic Resonance in Medicine (2024)

Hao‐Ting KungSophia X. CuiJonas T. KaplanAnand A. JoshiRichard M. LeahyKrishna S. NayakJustin P. Haldar

magnetic resonance imagingmedicineneuroimagingneurosciencediffusionmagnetic resonancefeasibility studybrain imaging

Chin-Cheng ChanJustin Haldar

magnetic resonance imagingmedical imagingmagnetic resonancespatiotemporal resolutionreal-time mri

Rodrigo LobosChin-Cheng ChanJustin Haldar

magnetic resonance imagingmagnetic resonanceradiology

Nan WangYannick BrackenierCongyu LiaoSiddharth IyerXiaozhi CaoJustin HaldarKawin Setsompop

magnetic resonance imagingneuroimagingneurosciencebrain mappingbiomedical imagingmedical imagingmagnetic resonancebrain imaging3d imaging

Spherical Echo‐Planar Time‐Resolved Imaging (Septi) for Rapid 3D Quantitative T2* and Susceptibility Imaging. Magnetic Resonance in Medicine (2024)

materials sciencebrain imagingbiophysicsadvanced imagingbiomedical imagingmolecular biologysusceptibility imagingbiological imaging3d imaging

The “Hidden Noise” Problem in Mr Image Reconstruction. Magnetic Resonance in Medicine (2024)

Jiayang WangDi AnJustin P. Haldar

magnetic resonance imaginghealth sciencesmedicineimage reconstructionneurosciencemr image reconstructionmedical imaginghidden noisemagnetic resonance

1
2
3
4
5
34
10 / page

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