Novel structural-scale uncertainty measures and error retention curves:
application to multiple sclerosis

Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis

9 November 2022

Nataliia Molchanova

Francesco La Rosa

Mark J. F. Gales

Cristina Granziera

Meritxell Bach Cuadra

Papers citing "Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis"

4 / 4 papers shown

Title
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors Nataliia Molchanova Pedro M. Gordaliza A. Cagol Mario Ocampo Pineda Po--Jui Lu ... Delphine Ribes Adrien Depeursinge Cristina Granziera Henning Müller Meritxell Bach Cuadra UQCV 60 0 0 07 Apr 2025
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis Nataliia Molchanova A. Cagol Pedro M. Gordaliza Mario Ocampo Pineda Po--Jui Lu ... Xinjie Chen Adrien Depeursinge Cristina Granziera Henning Müller Meritxell Bach Cuadra 18 0 0 08 Jul 2024
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation Nataliia Molchanova Vatsal Raina A. Malinin Francesco La Rosa Adrien Depeursinge Mark J. F. Gales Cristina Granziera Henning Muller Mara Graziani Meritxell Bach Cuadra 38 4 0 15 Nov 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 29 78 0 05 Oct 2022