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
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

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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