Nataliia Molchanova

According to our database1, Nataliia Molchanova authored at least 8 papers between 2022 and 2024.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI.
CoRR, 2024

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.
CoRR, 2024

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

2023
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.
CoRR, 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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