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researcher

Neha Gianchandani

4 papers hereh-index 345 citations6 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedA voxel-level approach to brain age prediction: A method to assess regional brain aging

7 citations · 8 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2023★ 1 cited

Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage

Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi +6

Simulation studies like finite element (FE) modeling provide insight into knee joint mechanics without patient experimentation. Generic FE models represent biomechanical behavior o…

cs.CV2023★ 7 cited

A voxel-level approach to brain age prediction: A method to assess regional brain aging

Neha Gianchandani, Mahsa Dibaji, Johanna Ospel +4

Brain aging is a regional phenomenon, a facet that remains relatively under-explored within the realm of brain age prediction research using machine learning methods. Voxel-level p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.