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researcher

Rachel Glenn

2 papers hereh-index 324 citations7 works total

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

author position
  • middle author2

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

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedMIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

Two Stage Segmentation of Cervical Tumors using PocketNet

Awj Twam, Adrian E. Celaya, Megan C. Jacobsen +6

Cervical cancer remains the fourth most common malignancy amongst women worldwide.1 Concurrent chemoradiotherapy (CRT) serves as the mainstay definitive treatment regimen for local…

eess.IV2024★ 1 cited

MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

Adrian Celaya, Evan Lim, Rachel Glenn +7

Medical imaging segmentation is a highly active area of research, with deep learning-based methods achieving state-of-the-art results in several benchmarks. However, the lack of st…

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