Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-08

Malak Bachri

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

Southern Arkansas University

Graduate Student Researcher

3 pubs

Research Areas

OverviewAI-generated summary

Malak Bachri's research focuses on the application of advanced artificial intelligence models, specifically within the domain of medical image segmentation. Bachri has co-authored publications exploring the integration of the Segment Anything Model (SAM) with techniques such as Persistent Homology (PH) and YOLO, aiming to improve zero-shot medical image segmentation. These efforts have resulted in the development of models like PH-SAM and YO-SAM, designed for automated segmentation of localized medical X-ray images. Bachri has collaborated with researchers Qusai Gazawy, Christian Young, and Ahmad Al Shami at Southern Arkansas University on these projects.

Metrics

  • Publications: 3

Selected Publications

  • YO-SAM: YOLO-Guided Segment Anything Model (2026)
    Lecture notes in networks and systems DOI OpenAlex
  • PH-SAM2: Persistent Homology-Guided Prompting of SAM2 for Zero-Shot Medical Image Segmentation (2026)
    Lecture notes in networks and systems DOI OpenAlex
  • Persistent Homology and Segment Anything Model for Automated Zero-Shot Localized Medical X-ray Images Segmentation (PH-SAM) (2025)
    Lecture notes in networks and systems DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

5 Collaborators 1 Institution 1 Country

Top Collaborators

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