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researcher

Baris U. Oguz

4 papers hereh-index 695 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.CV2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

most citedFalse Negative/Positive Control for SAM on Noisy Medical Images

5 citations · 5 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024

Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images

Hao Li, Baris Oguz, Gabriel Arenas +6

Placenta volume measurement from 3D ultrasound images is critical for predicting pregnancy outcomes, and manual annotation is the gold standard. However, such manual annotation is…

cs.CV2023★ 5 cited

False Negative/Positive Control for SAM on Noisy Medical Images

Xing Yao, Han Liu, Dewei Hu +9

The Segment Anything Model (SAM) is a recently developed all-range foundation model for image segmentation. It can use sparse manual prompts such as bounding boxes to generate pixe…

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