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

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 23 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 Gales Cristina Granziera Henning Muller Mara Graziani Meritxell Bach Cuadra 38 3 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 31 80 0 05 Oct 2022