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institution

Henry Ford Health

United States

15 papers here581 citations across 15
fields
  • cs.CV4
  • physics.med-ph4
  • eess.IV3
  • cs.LG2
  • cs.HC1
  • q-bio.NC1
ROR 02kwnkm68OpenAlex

affiliations via OpenAlex

output
20092026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

researchers with a paper here
  • H. Soltanian-Zadeh4 · h 50
  • Daniel S. Marcus2 profiles3 · h 10
  • N. Wen3 · h 28
  • Aikaterini Kotrotsou2 · h 23
  • Alexey Gruzdev2 · h 6
  • A. Mahajan2 · h 34
  • Amber L. Simpson2 profiles2 · h 35
  • Bjoern H Menze2 · h 71
  • Brandon Edwards2 · h 9
  • Carmen Balañá2
  • C. Davatzikos2 · h 121
  • David Menotti2 profiles2 · h 33
collaborating institutions
  • Henry Ford HospitalUS3 papers
  • Massachusetts General HospitalUS3 papers
  • Michigan State UniversityUS3 papers
  • New York UniversityUS3 papers
  • The University of Texas MD Anderson Cancer CenterUS3 papers
  • The University of Texas Southwestern Medical CenterUS3 papers
  • Thomas Jefferson UniversityUS3 papers
  • University of Alabama at BirminghamUS3 papers
  • University of California SystemUS3 papers
  • University of TehranIR3 papers
  • University of TorontoCA3 papers
  • Yonsei UniversityKR3 papers
Showing 2017Show all

1 paper · 1 filter

cs.LG2017★ 2 cited

Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction

Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Kost Elisevich +1

Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in…

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