World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
5731
World Ranking
12997
National Ranking
5240

Overview

Justin P. Haldar is affiliated with the University of Southern California in the United States. Their research focuses on the field of Medicine, with a strong emphasis on Radiology, Nuclear Medicine and Imaging, supported by 93 publications in this subfield. Additional areas of study include Computational Mechanics, Cognitive Neuroscience, Biomedical Engineering, and Atomic and Molecular Physics, and Optics.

The scientist's work addresses several main topics such as Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, and Medical Imaging Techniques and Applications. Other notable research themes include Sparse and Compressive Sensing Techniques, MRI in cancer diagnosis, Atomic and Subatomic Physics Research, and Functional Brain Connectivity Studies.

Frequent coauthors collaborating with Justin P. Haldar include Kawin Setsompop, Congyu Liao, Richard M. Leahy, Rodrigo A. Lobos, and Chin-Cheng Chan.

Common publication venues for their research are diverse and include Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition, arXiv (Cornell University), Magnetic Resonance in Medicine, bioRxiv (Cold Spring Harbor Laboratory), and IEEE Transactions on Computational Imaging.

Among recent papers authored or coauthored by Justin P. Haldar are:

  • Combined diffusion-relaxometry microstructure imaging: Current status and future prospects, 2021, Magnetic Resonance in Medicine
  • Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging, 2020, IEEE Signal Processing Magazine
  • A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI, 2022, Journal of Neuroscience Methods
  • Multidimensional correlation spectroscopic imaging of exponential decays: From theoretical principles to in vivo human applications, 2020, NMR in Biomedicine
  • Region-optimized virtual (ROVir) coils: Localization and/or suppression of spatial regions using sensor-domain beamforming, 2021, Magnetic Resonance in Medicine

Best Publications

  • Accelerating advanced MRI reconstructions on GPUs

    S. S. Stone;J. P. Haldar;S. C. Tsao;W. m. W. Hwu

  • Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm.

    Diego Hernando;P. Kellman;J. P. Haldar;Z.-P. Liang

  • Low-Rank Modeling of Local $k$ -Space Neighborhoods (LORAKS) for Constrained MRI

    Justin P. Haldar

  • Image Reconstruction From Highly Undersampled $( {f k}, {t})$ -Space Data With Joint Partial Separability and Sparsity Constraints

    Bo Zhao;J. P. Haldar;A. G. Christodoulou;Zhi-Pei Liang

  • Compressed-Sensing MRI With Random Encoding

    J P Haldar;D Hernando;Zhi-Pei Liang

  • Joint estimation of water/fat images and field inhomogeneity map

    Diego Hernando;J. P. Haldar;B. P. Sutton;Jingfei Ma

  • Spatiotemporal imaging with partially separable functions: A matrix recovery approach

    Justin P. Haldar;Zhi-Pei Liang

  • Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization

    J.P. Haldar;D. Hernando

  • P‐LORAKS: Low‐rank modeling of local k‐space neighborhoods with parallel imaging data

    Justin P. Haldar;Jingwei Zhuo

  • Low rank matrix recovery for real-time cardiac MRI

    Bo Zhao;Justin P. Haldar;Cornelius Brinegar;Zhi-Pei Liang

  • Accelerating advanced mri reconstructions on gpus

    Samuel S. Stone;Justin P. Haldar;Stephanie C. Tsao;Wen-mei W. Hwu

  • Anatomically constrained reconstruction from noisy data

    Justin P. Haldar;Diego Hernando;Sheng Kwei Song;Zhi Pei Liang

  • Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

    Bo Zhao;Justin P. Haldar;Congyu Liao;Dan Ma

  • Diffusion-relaxation correlation spectroscopic imaging: A multidimensional approach for probing microstructure.

    Daeun Kim;Eamon K. Doyle;Jessica L. Wisnowski;Joong Hee Kim

  • Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization.

    Chitresh Bhushan;Justin P. Haldar;Soyoung Choi;Anand A. Joshi

  • Improved diffusion imaging through SNR-enhancing joint reconstruction

    Justin P. Haldar;Van J. Wedeen;Marzieh Nezamzadeh;Marzieh Nezamzadeh;Guangping Dai

  • Individual parcellation of resting fMRI with a group functional connectivity prior.

    M. Chong;C. Bhushan;A.A. Joshi;S. Choi

  • Denoising diffusion-weighted magnitude MR images using rank and edge constraints.

    Fan Lam;S. Derin Babacan;Justin P. Haldar;Michael W. Weiner;Michael W. Weiner

  • Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.

    Paddy J Slator;Marco Palombo;Karla L Miller;Carl-Fredrik Westin

  • Improving parallel imaging by jointly reconstructing multi-contrast data.

    Berkin Bilgic;Tae Hyung Kim;Congyu Liao;Mary Kate Manhard

  • An equal start: absence of group differences in cognitive, social, and neural measures prior to music or sports training in children

    Assal Habibi;Beatriz Ilari;Kevin Crimi;Michael Metke

  • Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cram'er-Rao Bound Meets Spin Dynamics

    Bo Zhao;Justin P. Haldar;Congyu Liao;Dan Ma

Frequent Co-Authors

Zhi-Pei Liang
Zhi-Pei Liang University of Illinois at Urbana-Champaign
Richard M. Leahy
Richard M. Leahy University of Southern California
Bradley P. Sutton
Bradley P. Sutton University of Illinois at Urbana-Champaign
Kawin Setsompop
Kawin Setsompop Stanford University
Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign
Bo Zhao
Bo Zhao Stanford University
Lawrence L. Wald
Lawrence L. Wald Harvard University
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Berkin Bilgic
Berkin Bilgic Harvard University
Hanna Damasio
Hanna Damasio University of Southern California

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