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researcher

B. Wiestler

2 papers hereh-index 292.5k citations143 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.LG2
same name
  • B. Wiestler — 6 papers, h 17
  • B. Wiestler — 2 papers, h 4
  • B. Wiestler — 2 papers, h 3
  • B. Wiestler — 2 papers, h 0
  • B. Wiestler — 1 paper, h 34
  • B. Wiestler — 1 paper, h 1

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

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

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…

cs.LG2020

Train, Learn, Expand, Repeat

Abhijeet Parida, Aadhithya Sankar, Rami Eisawy +4

High-quality labeled data is essential to successfully train supervised machine learning models. Although a large amount of unlabeled data is present in the medical domain, labelin…

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