Evidence map›Paper›PMID 42182081›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2026

DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks.

Adam M Saunders, Lucas W Remedios, Elyssa M McMaster, Jongyeon Yoon, Gaurav Rudravaram, Adam Sadriddinov, Praitayini Kanakaraj, Bennett A Landman, Adam W Anderson

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Adam M SaundersDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Lucas W RemediosDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Elyssa M McMasterDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Jongyeon YoonDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Gaurav RudravaramDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Adam SadriddinovDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Praitayini KanakarajDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Bennett A LandmanDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
Integrated Training in Engineering and DiabetesT32DK101003 · NIDDK · VANDERBILT UNIVERSITY · PI Jamey D. Young · 2014 to 2026
$3.9M
Improving the sensitivity and specificity of diffusion MRIR01NS136743 · NINDS · VANDERBILT UNIVERSITY · PI Adam W Anderson · 2025 to 2026
$1.2M
NCATS NIH HHS UL1 TR002243NIBIB NIH HHS R01 EB017230NICHD NIH HHS P50 HD103537NIDDK NIH HHS T32 DK101003NINDS NIH HHS R01 NS136743
6 · The paper itself

Abstract

Diffusion-weighted magnetic resonance imaging allows for reconstruction of models for structural connectivity in the brain, such as fiber orientation distribution functions (ODFs) that describe the distribution, direction, and volume of white matter fiber bundles in a voxel. Crossing white matter fibers in voxels complicate analysis and can lead to errors in downstream tasks like tractography. We introduce one option for separating fiber ODFs by performing a nonlinear optimization to fit ODFs to the given data and penalizing terms that are not symmetric about the axis of the fiber. However, this optimization is non-convex and computationally infeasible across an entire image (approximately 1.01 × 10

Indexed as

crossing fibersdiffusion magnetic resonance imagingspherical convolutional neural networkwhite matter

Identifiers

PMID42182081
PMCPMC13196824

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.