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researcher

J. Freymann

7 papers hereh-index 3116.3k citations65 works total

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

author position
  • middle author3

Across the 3 of 7 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV2

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedThe RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

89 citations · 188 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

eess.IV2021★ 58 cited

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

Raghav Mehta, Angelos Filos, Ujjwal Baid +89

Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…

cs.CV2021★ 89 cited

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

Ujjwal Baid, Satyam Ghodasara, Suyash Mohan +100

The BraTS 2021 challenge celebrates its 10th anniversary and is jointly organized by the Radiological Society of North America (RSNA), the American Society of Neuroradiology (ASNR)…

eess.IV2021★ 16 cited

The Federated Tumor Segmentation (FeTS) Challenge

Sarthak Pati, Ujjwal Baid, Maximilian Zenk +29

This manuscript describes the first challenge on Federated Learning, namely the Federated Tumor Segmentation (FeTS) challenge 2021. International challenges have become the standar…

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