Author

J. Cohen-Adad

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 4

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Foias· 1 shared A. Karakuzu· 1 shared A. Kumar· 1 shared B. Bilgic· 1 shared B. Guerin· 1 shared B. Keil· 1 shared C. Liao· 1 shared D. Papp· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioengineering

A. Foias

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

8-channel Tx dipole and 20-channel Rx loop coil array for MRI of the cervical spinal cord at 7 Tesla

N. L. Rios, K. M. Gilbert, D. Papp, G. Cereza, A. Foias, D. Rangaprakash, M. W. May, B. Guerin, L. L. Wald, B. Keil, J. P. Stockmann, R. L. Barry, J. Cohen-Adad

This paper designs and validates a 7 Tesla MRI coil for cervical spinal cord imaging with parallel transmit and receive capabilities, showing improved image quality and performance.

bioRxiv · Feb 8, 2023 · PreprintBioengineering

Vendor-neutral sequences (VENUS) and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI

A. Karakuzu, L. Biswas, J. Cohen-Adad, N. Stikov

This paper develops a vendor-neutral MRI sequence and workflow, showing it reduces inter-vendor variability in quantitative MRI measurements.

bioRxiv · Dec 27, 2021Bioengineering

Normalizing automatic spinal cord cross-sectional area measures

S. Bedard, J. Cohen-Adad

This study develops a normalization model for spinal cord cross-sectional area (CSA) using a PMJ-based reference, reducing inter-subject variability in a large cohort.

bioRxiv · Sep 30, 2021 · PreprintBioengineering

Rapid simultaneous acquisition of macromolecular tissue volume, susceptibility, and relaxometry maps

F. F. Yu, S. Y. Huang, A. Kumar, T. Witzel, C. Liao, T. Duval, J. Cohen-Adad, B. Bilgic

This paper develops a method to rapidly acquire multiple MRI maps by combining contrasts and reducing scan time using JVC-GRAPPA, achieving 6-minute scans with isotropic resolution.

bioRxiv · Jun 8, 2021Bioengineering