Nataliia Molchanova

18 papers Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
From 100,000+ images to winning the first brain MRI foundation model challenges: Sharing lessons and models.
CoRR
Pedro M. Gordaliza, Jaume Banus, Benoît Gérin, Maxence Wynen, Nataliia Molchanova, Jonas Richiardi, Meritxell Bach Cuadra
2025 J jnl
Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis.
CoRR
Nataliia Molchanova, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Charidimos Tsagkas, Daniel S. Reich, Colin Vanden Bulcke, Anna Stölting, Serena Borrelli, Pietro Maggi, Adrien Depeursinge, Cristina Granziera, Henning Müller, Pedro M. Gordaliza, Meritxell Bach Cuadra
2025 J jnl
Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts.
CoRR
Pedro M. Gordaliza, Nataliia Molchanova, Jaume Banus, Thomas Sanchez, Meritxell Bach Cuadra
2025 J jnl
Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI.
CoRR
Nataliia Molchanova, Pedro M. Gordaliza, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Haris Tsagkas, Daniel S. Reich, Anna Stölting, Pietro Maggi, Delphine Ribes, Adrien Depeursinge, Cristina Granziera, Henning Müller, Meritxell Bach Cuadra
2025 J jnl
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation.
Comput. Biol. Medicine
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2024 — conf
Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024 J jnl
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI.
CoRR
Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-García, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024 J jnl
Instance-level quantitative saliency in multiple sclerosis lesion segmentation.
CoRR
Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge
2024 — conf
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
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
2024 J jnl
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.
CoRR
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
2024 — conf
Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling.
LDTM/MMMI/ML4MHD/ML-CDS@MICCAI
Pedro M. Gordaliza, Nataliia Molchanova, Maxence Wynen, Pietro Maggi, Alessandro Cagol, Cristina Granziera, Meritxell Bach Cuadra
2023 J jnl
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency.
CoRR
Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi
2023 — conf
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.
ISBI
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2023 J jnl
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.
CoRR
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Adrien Depeursinge, Mark J. F. Gales, Cristina Granziera, Henning Müller, Mara Graziani, Meritxell Bach Cuadra
2023 — conf
Tackling Bias in the Dice Similarity Coefficient: Introducing NDSC for White Matter Lesion Segmentation.
ISBI
Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2023 J jnl
Tackling Bias in the Dice Similarity Coefficient: Introducing nDSC for White Matter Lesion Segmentation.
CoRR
Vatsal Raina, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Henning Müller, Meritxell Bach Cuadra, Mark J. F. Gales
2022 J jnl
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis.
CoRR
Nataliia Molchanova, Vatsal Raina, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark J. F. Gales, Cristina Granziera, Mara Graziani, Meritxell Bach Cuadra
2022 J jnl
Shifts 2.0: Extending The Dataset of Real Distributional Shifts.
CoRR
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