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Nataliia Molchanova
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Conference and Workshop Papers
- 2023
- [c2]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. ISBI 2023: 1-5 - [c1]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation. ISBI 2023: 1-5
Informal and Other Publications
- 2024
- [i8]Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Instance-level quantitative saliency in multiple sclerosis lesion segmentation. CoRR abs/2406.09335 (2024) - [i7]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:
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. CoRR abs/2407.05761 (2024) - [i6]Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI. CoRR abs/2409.03772 (2024) - 2023
- [i5]Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales:
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation. CoRR abs/2302.05432 (2023) - [i4]Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi:
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency. CoRR abs/2305.16922 (2023) - [i3]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra:
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation. CoRR abs/2311.08931 (2023) - 2022
- [i2]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:
Shifts 2.0: Extending The Dataset of Real Distributional Shifts. CoRR abs/2206.15407 (2022) - [i1]Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra:
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis. CoRR abs/2211.04825 (2022)
Coauthor Index
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