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Jérôme Darbon

Brown University · US
Area of research
Computer Vision and Pattern Recognition · Computational Mechanics
Research interest
Research interests include Sparse and Compressive Sensing Techniques, Model Reduction and Neural Networks, Medical Image Segmentation Techniques, and Image and Signal Denoising Methods.
h-index
23
citations
4,087
works
146
NIH funding
primary concept
email

Recent publications

Periodic Artifact Removal With Applications to Deep Brain Stimulation
IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022cited by 6position: lastdoi
Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations
Journal of Computational Physics 2019cited by 66position: middledoi
Algorithms for overcoming the curse of dimensionality for certain Hamilton–Jacobi equations arising in control theory and elsewhere
Research in the Mathematical Sciences 2016cited by 156position: firstdoi
Landscape evolution models: A review of their fundamental equations
Geomorphology 2014cited by 131position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Stanley Osher · University of California, Los Angeles2 papers (2016–2019)Nicole R. Provenza · Baylor College of Medicine1 papers (2022–2022)Sameer A. Sheth · Baylor College of Medicine1 papers (2022–2022)Wotao Yin · Alibaba Group (United States)1 papers (2019–2019)David A. Borton · Allen Institute for Brain Science1 papers (2022–2022) · 1 papers (2022–2022)Paula Chen · Dartmouth College1 papers (2022–2022)Matthew T. Harrison · Brown University1 papers (2022–2022)Alex Chen · Northwell Health1 papers (2014–2014)Evan M. Dastin-van Rijn · Brown University1 papers (2022–2022)Jean‐Michel Morel · City University of Hong Kong1 papers (2014–2014)Yat Tin Chow · University of California, Riverside1 papers (2019–2019)