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Ankita Joshi

6 papers hereh-index 14 citations6 works total

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

author position
  • sole author1
  • first author2
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG2
same name
  • Ankita Joshi — 1 paper, h 3
  • Ankita Joshi — 1 paper, h 11
  • Ankita Joshi — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedTractoEmbed: Modular Multi-level Embedding framework for white matter tract segmentation

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

A Deep RL based Framework for Targeted White Matter Tractography

Ankita Joshi

Fiber tractography's ability to reconstruct the brain's structural pathways, has made it a crucial component of modern neuroimaging, enabling detailed, non-invasive mapping of stru…

cs.CV2026

TrackletGPT: A Language-like GPT Framework for White Matter Tract Segmentation

Anoushkrit Goel, Simroop Singh, Ankita Joshi +4

White Matter Tract Segmentation is imperative for studying brain structural connectivity, neurological disorders and neurosurgery. This task remains complex, as tracts differ among…

cs.CV2025

TractoGPT: A GPT architecture for White Matter Segmentation

Anoushkrit Goel, Simroop Singh, Ankita Joshi +4

White matter bundle segmentation is crucial for studying brain structural connectivity, neurosurgical planning, and neurological disorders. White Matter Segmentation remains challe…

cs.CV2024★ 2 cited

TractoEmbed: Modular Multi-level Embedding framework for white matter tract segmentation

Anoushkrit Goel, Bipanjit Singh, Ankita Joshi +4

White matter tract segmentation is crucial for studying brain structural connectivity and neurosurgical planning. However, segmentation remains challenging due to issues like class…

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