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Karolinska Institutet

Sweden

206 papers here6.1k citations across 206
fields
  • stat.ME20
  • cs.CV16
  • eess.IV15
  • cs.LG12
  • q-bio.PE10
  • physics.ins-det9
  • cs.CY8
  • cs.IT8
ROR 056d84691OpenAlex

affiliations via OpenAlex

output
20012026
most citedRobustly estimating the flow direction of information in complex physical systems

628 citations

researchers with a paper here
  • H. Zenil17 · h 33
  • Y. Pawitan8 · h 61
  • C. Iacobaeus7 · h 13
  • J. Tegnér7 · h 53
  • K. Kartasalo7 · h 21
  • N. Kiani7 · h 25
  • D. Fanelli6 · h 31
  • F. Liljeros6 · h 32
  • Luis E C Rocha6 · h 17
  • Peter Sjögårde2 profiles6 · h 6
  • T. Francke2 profiles6 · h 24
  • Vasileios Papapanagiotou6 · h 12
collaborating institutions
  • KTH Royal Institute of TechnologySE34 papers
  • Karolinska University HospitalSE28 papers
  • Stockholm UniversitySE18 papers
  • Science for Life LaboratorySE14 papers
  • Uppsala UniversitySE12 papers
  • University of OxfordGB11 papers
  • Centre National de la Recherche ScientifiqueFR10 papers
  • King's College LondonGB8 papers
  • Universidad de SevillaES8 papers
  • University of CambridgeGB8 papers
  • University of NamurBE8 papers
  • King Abdullah University of Science and TechnologySA7 papers
Showing 2024 · eess.IVShow all

1 paper · 2 filters

eess.IV2024★ 1 cited

WEEP: A method for spatial interpretation of weakly supervised CNN models in computational pathology

Abhinav Sharma, Bojing Liu, Mattias Rantalainen

Deep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weakly supervised learning of tile-level data is typically applied for tasks where l…

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