Nataliia Molchanova

According to our database, Nataliia Molchanova authored at least 11 papers between 2022 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

Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation.

Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra

Comput. Biol. Medicine, 2025

2024

Instance-level quantitative saliency in multiple sclerosis lesion segmentation.

Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge

CoRR, 2024

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI.

Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.

Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling.

Pedro M. Gordaliza, Nataliia Molchanova, Maxence Wynen, Pietro Maggi, Alessandro Cagol, Cristina Granziera, Meritxell Bach Cuadra

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

2023

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency.

Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi

CoRR, 2023

Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.

Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.

Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Shifts 2.0: Extending The Dataset of Real Distributional Shifts.

Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Vatsal Raina, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou, Elena Volf

CoRR, 2022