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researcher

E. Calabrese

11 papers hereh-index 294.3k citations68 works total

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

author position
  • first author1
  • middle author6
  • last author1

Across the 8 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • eess.IV4
  • cs.LG1
  • q-bio.OT1
  • stat.ME1
same name
  • E. Calabrese — 210 papers, h 88
  • E. Calabrese — 20 papers, h 6
  • E. Calabrese — 2 papers
  • E. Calabrese — 2 papers
  • E. Calabrese — 2 papers

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
20162023
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 997 across the 11 of their papers we have counts for

collaborators
Showing 2023 · eess.IVShow all

3 papers · 2 filters

eess.IV2023★ 38 cited

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa)

Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi +48

Gliomas are the most common type of primary brain tumors. Although gliomas are relatively rare, they are among the deadliest types of cancer, with a survival rate of less than 2 ye…

eess.IV2023★ 44 cited

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

Anahita Fathi Kazerooni, Nastaran Khalili, Xinyang Liu +70

Pediatric tumors of the central nervous system are the most common cause of cancer-related death in children. The five-year survival rate for high-grade gliomas in children is less…

eess.IV2023★ 29 cited

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset

Jeffrey D. Rudie, Rachit Saluja, David A. Weiss +10

The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) dataset is a public, clinical, multimodal brain MRI dataset consisting of 560 brai…

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