Ben Philps

According to our database, Ben Philps authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification.

Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu

Medical Image Anal., 2025

2024

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification.

Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu, Alzheimer's Disease Neuroimaging Initiative

CoRR, 2024

InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation.

Thibaut Goldsborough, Ben Philps, Alan O'Callaghan, Fiona Inglis, Leo Leplat, Andrew Filby, Hakan Bilen, Peter Bankhead

CoRR, 2024

Stochastic Uncertainty Quantification Techniques Fail to Account for Inter-analyst Variability in White Matter Hyperintensity Segmentation.

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

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

2023

Proper Scoring Loss Functions Are Simple and Effective for Uncertainty Quantification of White Matter Hyperintensities.

Ben Philps, Maria del C. Valdés Hernández, Miguel Bernabeu Llinares

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023