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researcher

Mehdi Astaraki

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
ORCID 0000-0001-5125-4682

identity via Semantic Scholar / OpenAlex

most citedAutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

Fully Automatic Segmentation of Gross Target Volume and Organs-at-Risk for Radiotherapy Planning of Nasopharyngeal Carcinoma

Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu

Target segmentation in CT images of Head&Neck (H&N) region is challenging due to low contrast between adjacent soft tissue. The SegRap 2023 challenge has been focused on benchmarki…

cs.CV2023★ 4 cited

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection

Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh +5

Robust and accurate detection and segmentation of heterogenous tumors appearing in different anatomical organs with supervised methods require large-scale labeled datasets covering…

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