Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation

Ben Philps; Maria C Valdés Hernández; Susana Muñoz Maniega; Mark E Bastin; Eleni Sakka; Una Clancy; Joanna M. Wardlaw; Miguel O. Bernabeu

Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation

Ben Philps^*, Maria C Valdés Hernández, Susana Muñoz Maniega, Mark E Bastin, Eleni Sakka, Una Clancy, Joanna M. Wardlaw, Miguel O. Bernabeu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Original language	English
Title of host publication	Lecture Notes in Computer Science
Subtitle of host publication	Medical Image Understanding and Analysis 2024
Publisher	Springer
Publication status	Published - 24 Jul 2024

Cite this

Philps, B., Valdés Hernández, M. C., Muñoz Maniega, S., Bastin, M. E., Sakka, E., Clancy, U., Wardlaw, J. M., & Bernabeu, M. O. (2024). Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation. In Lecture Notes in Computer Science: Medical Image Understanding and Analysis 2024 Springer.

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title = "Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation",

author = "Ben Philps and {Vald{\'e}s Hern{\'a}ndez}, {Maria C} and {Mu{\~n}oz Maniega}, Susana and Bastin, {Mark E} and Eleni Sakka and Una Clancy and Wardlaw, {Joanna M.} and Bernabeu, {Miguel O.}",

year = "2024",

month = jul,

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language = "English",

booktitle = "Lecture Notes in Computer Science",

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Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation. / Philps, Ben; Valdés Hernández, Maria C ; Muñoz Maniega, Susana et al.
Lecture Notes in Computer Science: Medical Image Understanding and Analysis 2024. Springer, 2024.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Stochastic Uncertainty Quantification techniques fail to account for Inter-Analyst Variability in White Matter Hyperintensity segmentation

AU - Philps, Ben

AU - Valdés Hernández, Maria C

AU - Muñoz Maniega, Susana

AU - Bastin, Mark E

AU - Sakka, Eleni

AU - Clancy, Una

AU - Wardlaw, Joanna M.

AU - Bernabeu, Miguel O.

PY - 2024/7/24

Y1 - 2024/7/24

M3 - Chapter (peer-reviewed)

BT - Lecture Notes in Computer Science

PB - Springer

ER -