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F. Kitamura

3 papers hereh-index 183.8k citations37 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 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedThe RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

89 citations · 89 across the 2 of their papers we have counts for

collaborators

3 papers

eess.IV2022

Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification

Timothy L. Kline, Felipe Kitamura, Ian Pan +12

With the recent advances in A.I. methodologies and their application to medical imaging, there has been an explosion of related research programs utilizing these techniques to prod…

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.IV2020

Federated Learning for Breast Density Classification: A Real-World Implementation

Holger R. Roth, Ken Chang, Praveer Singh +40

Building robust deep learning-based models requires large quantities of diverse training data. In this study, we investigate the use of federated learning (FL) to build medical ima…

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