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Julia F. Lehman

4 papers hereh-index 10989 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20222026
collaborators

4 papers

cs.CV2026

Topology-Aware Training and Spatial Diagnostics for Fiber Bundle Segmentation in Tracer Histology

Joselyn Romero Avila, Kyriaki-Margarita Bintsi, Ermias Habte +3

Anatomic tracer studies reveal how axon bundles project from an injection site, branch into smaller groups of axons, and course through the brain to reach their destinations. Histo…

cs.CV2026

Tractography-Driven Synthetic Data Generation for Fiber Bundle Segmentation in Tracer Histology

Kyriaki-Margarita Bintsi, Sparsh Makharia, Yaël Balbastre +4

Diffusion MRI (dMRI) tractography enables non-invasive reconstruction of white-matter pathways, but its accuracy is fundamentally limited by indirect, low-resolution measurements o…

cs.CV2025

Fully Automated Segmentation of Fiber Bundles in Anatomic Tracing Data

Kyriaki-Margarita Bintsi, Yaël Balbastre, Jingjing Wu +3

Anatomic tracer studies are critical for validating and improving diffusion MRI (dMRI) tractography. However, large-scale analysis of data from such studies is hampered by the labo…

eess.IV2022

Constrained self-supervised method with temporal ensembling for fiber bundle detection on anatomic tracing data

Vaanathi Sundaresan, Julia F. Lehman, Sean Fitzgibbon +3

Anatomic tracing data provides detailed information on brain circuitry essential for addressing some of the common errors in diffusion MRI tractography. However, automated detectio…

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