Erin S. Beck

According to our database, Erin S. Beck authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis.

Nataliia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Charidimos Tsagkas, Daniel S. Reich, Colin Vanden Bulcke, Anna Stölting, Serena Borrelli, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra

CoRR, July, 2025

Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI.

Nataliia Molchanova, Pedro M. Gordaliza, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Haris Tsagkas, Daniel S. Reich, Anna Stölting, Pietro Maggi, Delphine Ribes, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra

CoRR, April, 2025

2023

Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical R₂* and magnetic susceptibility at 0.3 mm in-plane resolution at 7 T.

Peter van Gelderen, Xu Li, Jacco A. de Zwart, Erin S. Beck, Serhat V. Okar, Yujia Huang, KuoWei Lai, Jeremias Sulam, Peter C. M. van Zijl, Daniel S. Reich, Jeff H. Duyn, Jiaen Liu

NeuroImage, April, 2023

2022

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues.

Francesco La Rosa, Maxence Wynen, Omar Al-Louzi, Erin S. Beck, Till Huelnhagen, Pietro Maggi, Jean-Philippe Thiran, Tobias Kober, Russell T. Shinohara, Pascal Sati, Daniel S. Reich, Cristina Granziera, Martina Absinta, Meritxell Bach Cuadra

CoRR, 2022

2020

Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI.

Francesco La Rosa, Erin S. Beck, Ahmed Abdulkadir, Jean-Philippe Thiran, Daniel S. Reich, Pascal Sati, Meritxell Bach Cuadra

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020