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Micah J. Sheller

13 papers hereh-index 135.4k citations27 works total

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

author position
  • middle author7

Across the 7 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • eess.IV4
  • cs.CV2
  • cs.CY2
  • q-bio.OT1

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedThe Future of Digital Health with Federated Learning

3.1k citations · 3.9k across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.CV2025★ 4 cited

The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning

Akis Linardos, Sarthak Pati, Ujjwal Baid +25

We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…

cs.CY2025★ 1 cited

A Technical Policy Blueprint for Trustworthy Decentralized AI

Hasan Kassem, Orion Banks, Omar Benjelloun +20

Decentralized AI systems, such as federated learning, can play a critical role in further unlocking AI asset marketplaces (e.g., healthcare data marketplaces) thanks to increased a…

q-bio.OT2025★ 1 cited

Analysis of the MICCAI Brain Tumor Segmentation -- Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI

Nazanin Maleki, Raisa Amiruddin, Ahmed W. Moawad +240

Despite continuous advancements in cancer treatment, brain metastatic disease remains a significant complication of primary cancer and is associated with an unfavorable prognosis.…

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