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Digital Science (United States)

United States

46 papers here623 citations across 46
fields
  • cs.CV7
  • cs.DL5
  • cs.CY4
  • quant-ph4
  • cs.DC3
  • cs.LG3
  • cs.AI2
  • cs.CL2
ROR 020h4b682OpenAlex

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output
20122026
most citedResults of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

313 citations

researchers with a paper here
  • Zhenjie Zhang2 profiles4 · h 36
  • Arcangelo Massari3 · h 6
  • Florian M. Savoy3 · h 12
  • S. Dev3 · h 29
  • Silvio Peroni3 · h 4
  • Stefan Winkler3 · h 28
  • Y. Lee3 · h 30
  • Chenkai Weng2 · h 17
  • C. Maple2 · h 49
  • Hua‐Lei Yin2 · h 30
  • Kay Atefi2 · h 1
  • Mengya Zhu2 · h 1
collaborating institutions
  • Advanced Digital Sciences CenterSG8 papers
  • University of Illinois Urbana-ChampaignUS7 papers
  • Nanyang Technological UniversitySG6 papers
  • Nanjing UniversityCN3 papers
  • University of BolognaIT3 papers
  • University of HullGB3 papers
  • Cisco Systems (United States)US2 papers
  • Collaborative Innovation Center of Advanced MicrostructuresCN2 papers
  • Cornell UniversityUS2 papers
  • Geospatial Research (United Kingdom)GB2 papers
  • Hamad bin Khalifa UniversityQA2 papers
  • LMU KlinikumDE2 papers
Showing 2019Show all

1 paper · 1 filter

cs.CV2019★ 21 cited

Probabilistic Motion Modeling from Medical Image Sequences: Application to Cardiac Cine-MRI

Julian Krebs, Tommaso Mansi, Nicholas Ayache +1

We propose to learn a probabilistic motion model from a sequence of images. Besides spatio-temporal registration, our method offers to predict motion from a limited number of frame…

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