Author

P. Kanakaraj

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

Biology Disciplines

Click to filter author papers

Bioengineering· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Organism:human· 2 Approach:transformer / foundation model· 2 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Assay:multiome· 1

Frequent Co-Authors

B. A. Landman· 3 shared K. G. Schilling· 3 shared C. I. Kerley· 2 shared F. Rheault· 2 shared L. Y. Cai· 2 shared Q. Yang· 2 shared A. T. Newton· 1 shared A. T. Shafer· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioengineering

B. A. Landman

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context

L. Y. Cai, H. H. Lee, N. R. Newlin, C. I. Kerley, P. Kanakaraj, Q. Yang, G. W. Johnson, D. Moyer, K. G. Schilling, F. Rheault, B. A. Landman

This paper develops a convolutional-recurrent neural network to approximate diffusion tractography from T1-weighted MRI, showing results comparable to traditional dMRI tractography.

bioRxiv · Feb 25, 2023 · PreprintBioengineering

MASiVar: Multisite, Multiscanner, and Multisubject Acquisitions for Studying Variability in Diffusion Weighted Magnetic Resonance Imaging

L. Y. Cai, Q. Yang, P. Kanakaraj, V. Nath, A. T. Newton, H. A. Edmonson, J. Luci, B. N. Conrad, G. R. Price, C. B. Hansen, C. I. Kerley, K. Ramadass, F.-C. Yeh, H. Kang, E. Garyfallidis, , B. A. Landman

MASiVar evaluates DWI variability across multiple levels and processing approaches using a multisite, multisubject dataset.

Magnetic Resonance in Medicine · Jul 16, 2021Peer-reviewedBioengineering

Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps

K. G. Schilling, J. Blaber, C. Hansen, L. Cai, B. Rogers, A. W. Anderson, S. Smith, P. Kanakaraj, T. Rex, S. M. Resnick, A. T. Shafer, L. Cutting, N. Woodward, D. Zald, B. A. Landman

This study develops a deep learning method to correct diffusion MRI distortions without reverse phase-encoding scans or field maps, showing effective correction on diverse datasets.

bioRxiv · Jan 19, 2020 · PreprintBioengineering