Nataliia Molchanova

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Lesion Segmentation

Corpus Callosum

Multiple Sclerosis

Top Venues

Publications

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 (2024)
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 (2024)
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 (2023)
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)
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)
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 (2023)
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 (2023)
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 (2022)
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 (2022)