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Diana Mateus

4 papers hereh-index 334 citations11 works total

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

author position
  • last author4

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

fields
  • cs.CV4
same name
  • Diana Mateus — 19 papers, h 28
  • Diana Mateus — 4 papers, h 2

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
20212025
most cited3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching

2 citations · 2 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation

Mathilde Monvoisin, Louise Piecuch, Blanche Texier +7

The objective of this paper is to significantly reduce the manual workload required from medical professionals in complex 3D segmentation tasks that cannot be yet fully automated.…

cs.CV2025

Unsupervised Anomaly Detection on Implicit Shape representations for Sarcopenia Detection

Louise Piecuch, Jeremie Huet, Antoine Frouin +3

Sarcopenia is an age-related progressive loss of muscle mass and strength that significantly impacts daily life. A commonly studied criterion for characterizing the muscle mass has…

cs.CV2023

Muscle volume quantification: guiding transformers with anatomical priors

Louise Piecuch, Vanessa Gonzales Duque, Aurélie Sarcher +5

Muscle volume is a useful quantitative biomarker in sports, but also for the follow-up of degenerative musculo-skelletal diseases. In addition to volume, other shape biomarkers can…

cs.CV2021★ 2 cited

3D Shape Registration Using Spectral Graph Embedding and Probabilistic Matching

Avinash Sharma, Radu Horaud, Diana Mateus

We address the problem of 3D shape registration and we propose a novel technique based on spectral graph theory and probabilistic matching. The task of 3D shape analysis involves t…

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