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researcher

M. Muzi

2 papers hereh-index 497.1k citations215 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.LG1
  • physics.med-ph1

identity via Semantic Scholar / OpenAlex

most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations · 390 across the 2 of their papers we have counts for

collaborators

2 papers

physics.med-ph2025

Determination of unscaled blood input for human dynamic FDG brain PET

William Terrell, Mark Muzi, Bijoy Kundu

Objectives: Many existing techniques for the non-invasive quantification of the blood input function in dynamic FDG-PET imaging require strong historical information or user input.…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

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