Nataliia Molchanova
Orcid: 0009-0004-3562-9025
According to our database1,
Nataliia Molchanova authored at least 15 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
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
Medical-Image-Analysis-Laboratory/Bench-Explain_DL_Cortical-Lesions: v1.0.1 - Initial Release.
Dataset, 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
CoRR, 2024
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