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University Hospital Augsburg

Germany

2 papers here25 citations across 2
fields
  • cs.CV1
  • stat.ML1
ROR 03b0k9c14OpenAlex

affiliations via OpenAlex

most citedLearning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis

13 citations

researchers with a paper here
  • A. Ebigbo1 · h 30
  • A. Probst1 · h 26
  • Can Bogoclu1
  • Christian Hook1 · h 13
  • C. Palm1 · h 30
  • Dirk Roos1
  • H. Messmann1 · h 47
  • J. Papa1 · h 54
  • Kevin Cremanns1
  • L. A. D. de Souza1 · h 0
  • L. C. Afonso1
  • R. Mendel1 · h 15
collaborating institutions
  • Hochschule NiederrheinDE1 paper
  • OTH RegensburgDE1 paper
  • Universidade Estadual Paulista (Unesp)BR1 paper
  • Universidade Federal de São CarlosBR1 paper
  • ZF Friedrichshafen (Germany)DE1 paper

2 papers

stat.ML2023★ 12 cited

Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit

Sven Lämmle, Can Bogoclu, Kevin Cremanns +1

Surrogate models based on machine learning methods have become an important part of modern engineering to replace costly computer simulations. The data used for creating a surrogat…

cs.CV2021★ 13 cited

Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis

Luis A. de Souza, Luis C. S. Afonso, Alanna Ebigbo +5

In this work, we introduce the unsupervised Optimum-Path Forest (OPF) classifier for learning visual dictionaries in the context of Barrett's esophagus (BE) and automatic adenocarc…

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