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Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.

V. Sundaresan, G. Zamboni, C. Heron, P. Rothwell, M. Husain, M. Battaglini, N. Stefano, M. Jenkinson, and L. Griffanti. NeuroImage, (2019)

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Giovanni Zamboni

Eckard Zamboni

Giovanna Giuliano

Other publications of authors with the same name

Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease.L. Griffanti, M. Rolinski, K. Szewczyk-Krolikowski, R. Menke, N. Filippini, G. Zamboni, M. Jenkinson, M. Hu, and C. Mackay. NeuroImage, (2016)Integrating large-scale neuroimaging research datasets: Harmonisation of white matter hyperintensity measurements across Whitehall and UK Biobank datasets.V. Bordin, I. Bertani, I. Mattioli, V. Sundaresan, P. McCarthy, S. Suri, E. Zsoldos, N. Filippini, A. Mahmood, L. Melazzini and 10 other author(s). NeuroImage, (2021)The neural bases of key competencies of emotional intelligenceF. Krueger, A. Barbey, K. McCabe, M. Strenziok, G. Zamboni, J. Solomon, V. Raymont, and J. Grafman. Proceedings of the National Academy of Sciences, 106 (52): 22486--22491 (Dec 29, 2009)Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults.L. Griffanti, M. Jenkinson, S. Suri, E. Zsoldos, A. Mahmood, N. Filippini, C. Sexton, A. Topiwala, C. Allan, M. Kivimäki and 4 other author(s). NeuroImage, (2018)Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.V. Sundaresan, G. Zamboni, C. Heron, P. Rothwell, M. Husain, M. Battaglini, N. Stefano, M. Jenkinson, and L. Griffanti. NeuroImage, (2019)Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.V. Sundaresan, C. Arthofer, G. Zamboni, A. Murchison, R. Dineen, P. Rothwell, D. Auer, C. Wang, K. Miller, B. Tendler and 5 other author(s). Frontiers Neuroinformatics, (March 2023)BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.L. Griffanti, G. Zamboni, A. Khan, L. Li, G. Bonifacio, V. Sundaresan, U. Schulz, W. Kuker, M. Battaglini, P. Rothwell and 1 other author(s). NeuroImage, (2016)Modelling the distribution of white matter hyperintensities due to ageing on MRI images using Bayesian inference.V. Sundaresan, L. Griffanti, P. Kindalova, F. Alfaro-Almagro, G. Zamboni, P. Rothwell, T. Nichols, and M. Jenkinson. NeuroImage, (2019)Comparison of domain adaptation techniques for white matter hyperintensity segmentation in brain MR images.V. Sundaresan, G. Zamboni, N. Dinsdale, P. Rothwell, L. Griffanti, and M. Jenkinson. Medical Image Anal., (2021)Triplanar ensemble U-Net model for white matter hyperintensities segmentation on MR images.V. Sundaresan, G. Zamboni, P. Rothwell, M. Jenkinson, and L. Griffanti. Medical Image Anal., (2021)

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Disambiguation of "Zamboni, Giovanna"

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Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.

Please choose a person to relate this publication to

Giovanni Zamboni

Giovanni Zamboni

Giovanni Zamboni

Eckard Zamboni

Giovanna Giuliano

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zamboni, Giovanna"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.

Please choose a person to relate this publication to

Giovanni Zamboni

Giovanni Zamboni

Giovanni Zamboni

Eckard Zamboni

Giovanna Giuliano

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Automated lesion segmentation with BIANCA: Impact of population-level features, classification algorithm and locally adaptive thresholding.