Nataliia Molchanova

Orcid: 0009-0004-3562-9025

According to our database1, Nataliia Molchanova authored at least 15 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge.
CoRR, April, 2026

From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models.
CoRR, January, 2026

2025
Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts.
CoRR, December, 2025

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis.
CoRR, July, 2025


Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI.
CoRR, April, 2025

Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation.
Comput. Biol. Medicine, 2025

2024
Instance-level quantitative saliency in multiple sclerosis lesion segmentation.
CoRR, 2024

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops, 2024

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.
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.
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.
CoRR, 2023

Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts.
CoRR, 2022


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