Author

Erik G. Lee

University of MinnesotaORCID 0000-0001-9236-5100Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 5 Organism:human· 5 Assay:imaging· 5 Approach:experimental assay· 4 Research Focus:dimensionality reduction· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

Christopher D. SmyseriD· 5 shared Damien A. FairiD· 5 shared Jessica Lee WisnowskiiD· 4 shared Timothy John HendricksoniD· 4 shared Eric FeczkoiD· 3 shared Essa S. YacoubiD· 3 shared Jacob T. LundquistiD· 3 shared Jed T. ElisoniD· 3 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

5 shared papersNeuroscience

Christopher D. SmyserORCID

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Age-related differences in neurometabolite concentrations during early infancy: A cross-sectional analysis of the HBCD Release 1.0

Saipavitra Murali‐Manohar, Helge J. Zöllner, Christopher W. Davies‐Jenkins, Aaron T. Gudmundson, Steve C. N. Hui, Yulu Song, Gizeaddis Lamesgin Simegn, Zahra Shams, Abdelrahman Gamil Gad, Borjan A. Gagoski, Matthew Dylan Tisdall, Muhammad G. Saleh, Ralph Noeske, Sandeep Ganji, Guillaume Gilbert, , Richard A.E. Edden

The paper analyzes age-related changes in neurometabolite concentrations in infants using 1H-MRS data from the HBCD study, finding significant increases in some metabolites and decreases in others.

bioRxiv · Sep 6, 2026 · PreprintNeuroscience

BIBSNet: A Deep Learning Baby Image Brain Segmentation Network for MRI Scans

Timothy John Hendrickson, Paul Reiners, Lucille A. Moore, Jacob T. Lundquist, Begim Fayzullobekova, Anders J. Perrone, Erik G. Lee, Julia Moser, Trevor K. M. Day, Dimitrios Alexopoulos, Martin Andreas Styner, Omid Kardan, Taylor A. Chamberlain, Anurima Mummaneni, Henrique A. Caldas, , Eric Feczko

BIBSNet is a deep learning model for infant brain segmentation in MRI scans that outperforms JLF in accuracy and speed, with compatible outputs for further analysis.

Developmental Cognitive Neuroscience · Mar 9, 2026Peer-reviewedNeuroscience

Diffusion MRI Processing in the HEALthy Brain and Child Development Study: Innovations and Applications

Matthew Cieslak, Mustafa Okan Irfanoglu, Steven L. Meisler, Taylor Salo, Adam C. Raikes, Philip A. Cook, Ai Wern Chung, Erik G. Lee, Ruolin Li, Xu Li, Diliana Pecheva, Damien A. Fair, Christopher D. Smyser, Michael P. Harms, Bennett A. Landman, , Theodore Daniel Satterthwaite

The paper describes improvements in diffusion MRI processing for the HBCD study, introducing new software and observing developmental patterns in brain data.

bioRxiv · Nov 10, 2025 · PreprintNeuroscience

fMRIPrep Lifespan: Extending A Robust Pipeline for Functional MRI Preprocessing to Developmental Neuroimaging

Mathias Goncalves, Julia Moser, Thomas J. Madison, rae McCollum, Jacob T. Lundquist, Begim Fayzullobekova, Lidia Hadera, Han H. N. Pham, Lucille A. Moore, Audrey Houghton, Greg Conan, Martin Andreas Styner, Dimitrios Alexopoulos, Christopher D. Smyser, Sally M. Stoyell, , Damien A. Fair

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

bioRxiv · May 14, 2025 · PreprintBioinformatics

Baby Open Brains: An Open-Source Repository of Infant Brain Segmentations

Eric Feczko, Sally M. Stoyell, Lucille A. Moore, Dimitrios K. Alexopoulos, Maria M. Bagonis, Kenneth Barrett, Brad Bower, Addison C. Cavender, Taylor A. Chamberlain, Greg Conan, Trevor K. M. Day, Dhruman D. Goradia, Alice Graham, Lucas Heisler-Roman, Timothy John Hendrickson, , Jed T. Elison

The paper introduces Baby Open Brains (BOBs), an open-source repository of manually curated infant brain segmentations to improve reproducibility in neuroimaging research.

bioRxiv · Oct 2, 2024 · PreprintNeuroscience

Continuous automated analysis workflow for MRS studies

Helge J. Zöllner, Christopher W. Davies‐Jenkins, Erik G. Lee, Timothy John Hendrickson, William T. Clarke, Richard A.E. Edden, Jessica Lee Wisnowski, Aaron T. Gudmundson, Georg Oeltzschner

This paper introduces an automated MRS analysis workflow that reduces manual steps and integrates with neuroimaging standards, improving efficiency and scalability.

Journal of Medical Systems · Jul 7, 2023Peer-reviewedNeuroscience