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Analyzing microtomography data with Python and the scikit-image library.

artículo científico publicado en 2016

Applying computer vision to digitised natural history collections for climate change research: Temperature‐size responses in British butterflies

artículo científico publicado en 2022

Array programming with NumPy ⬇️

artículo científico publicado en 2020

Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python

scientific article published on 01 March 2020

Best Practices for Fostering Diversity and Inclusion in Data Science: Report from the BIDS Best Practices in Data Science Series

scholarly article published 2 February 2019

Challenges of Doing Data-Intensive Research in Teams, Labs, and Groups: Report from the BIDS Best Practices in Data Science Series

scholarly article published 15 November 2018

Correction: Evaluating the Accuracy of Diffusion MRI Models in White Matter

artículo científico publicado en 2015

Dipy, a library for the analysis of diffusion MRI data

artículo científico publicado en 2014

Evaluating the accuracy of diffusion MRI models in white matter

artículo científico publicado en 2015

Inselect: Automating the Digitization of Natural History Collections

artículo científico publicado en 2015

Machine Detection of Enhanced Electromechanical Energy Conversion in PbZr Ti O Thin Films

artículo científico publicado en 2018

Resistance to Adoption of Best Practices

Revealing ferroelectric switching character using deep recurrent neural networks

artículo científico publicado en 2019

SciPy 1.0: fundamental algorithms for scientific computing in Python ⬇️

artículo científico publicado en 2020

SkyPortal: An Astronomical Data Platform

artículo científico publicado en 2019

Sparse reproducing kernels for modeling fiber crossings in diffusion weighted imaging

The NumPy Array: A Structure for Efficient Numerical Computation

scikit-image: image processing in Python ⬇️

computer science research paper

Lista de obras de

Analyzing microtomography data with Python and the scikit-image library.

Applying computer vision to digitised natural history collections for climate change research: Temperature‐size responses in British butterflies

Array programming with NumPy ⬇️

Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python

Best Practices for Fostering Diversity and Inclusion in Data Science: Report from the BIDS Best Practices in Data Science Series

Challenges of Doing Data-Intensive Research in Teams, Labs, and Groups: Report from the BIDS Best Practices in Data Science Series

Correction: Evaluating the Accuracy of Diffusion MRI Models in White Matter

Dipy, a library for the analysis of diffusion MRI data

Evaluating the accuracy of diffusion MRI models in white matter

Inselect: Automating the Digitization of Natural History Collections

Machine Detection of Enhanced Electromechanical Energy Conversion in PbZr Ti O Thin Films

Resistance to Adoption of Best Practices

Revealing ferroelectric switching character using deep recurrent neural networks

SciPy 1.0: fundamental algorithms for scientific computing in Python ⬇️

SkyPortal: An Astronomical Data Platform

Sparse reproducing kernels for modeling fiber crossings in diffusion weighted imaging

The NumPy Array: A Structure for Efficient Numerical Computation

scikit-image: image processing in Python ⬇️