Cristina Granziera - HES SO Valais Publications - Aigaion 2.0

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First name(s):	Cristina
Last name(s):	Granziera

Federico Spagnolo, Susanna Gobbi, Enikő Zsoldos, Manon Edde, Matthias Weigel, Cristina Granziera, Maxime Descoteaux, Muhamed Barakovic and Stefano Magon, Down-sampling in diffusion MRI: a bundle-specific DTI and NODDI study (2024), in: Frontiers in Neuroimaging, 3

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Federico Spagnolo, Pedro M. Gordaliza, Po-Jui Lu, Mario Ocampo-Pineda, Xinjie Chen, Matthias Weigel, Maxence Wynen, Martina Absinta, Pietro Maggi, Meritxell Bach Cuadra, Vincent Andrearczyk, Adrien Depeursinge and Cristina Granziera, Explainability in automatic Paramagnetic Rim Lesion classification, in: 40th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2024

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Federico Spagnolo, Nataliia Molchanova, Mario Ocampo-Pineda, Lester Melie-Garcia, Meritxell Bach Cuadra, Cristina Granziera, Vincent Andrearczyk and Adrien Depeursinge, Exploiting XAI maps to improve MS lesion segmentation and detection in MRI, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2024

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Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Mario Ocampo-Pineda, Meritxell Bach Cuadra, Lester Melie-Garcia, Cristina Granziera, Vincent Andrearczyk and Adrien Depeursinge, Instance-level explanations in multiple sclerosis lesion segmentation: a novel localized saliency map, in: ISMRM 2024, 2024

Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-Garcia, Cristina Granziera, Vincent Andrearczyk and Adrien Depeursinge, Instance-level quantitative saliency in multiple sclerosis lesion segmentation (2024), in: arxiv

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Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Adrien Depeursinge, Cristina Granziera, Henning Müller and Meritxell Bach Cuadra, Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis, Springer, 2024

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Nataliia Molchanova, Cagol Alessandro, Mario Ocampo-Pineda, Chen Xinjie, Weigel Matthias, Henning Müller, Mara Graziani, Cristina Granziera and Meritxell Bach Cuadra, Deep learning uncertainty quantification of cortical lesions in MP2RAGE for missed lesions discovery, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

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Federico Spagnolo, Roger Schaer, Vincent Andrearczyk, Nataliia Molchanova, Mara Graziani, Henning Müller, Meritxell Bach Cuadra, Cristina Granziera and Adrien Depeursinge, FLAIR vs MPRAGE contribution to white matter lesion automatic segmentation in MS using localized saliency maps, in: Bern Interpretable AI Symposium (BIAS), 2023

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Pedro Gordaliza, Jannis Mueller, Charidimos Tsagkas, Reza Rahmanzadeh, Nataliia Molchanova, Francesco La Rosa, Cristina Granziera and Meritxell Bach Cuadra, FLAWS against flaws: Improving Automated Cortical Lesion Segmentation, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

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Federico Spagnolo, Adrien Depeursinge, Henning Müller, Aysenur Akbulut, Muhamed Barakovic, Lester Melie-Garcia, Sabine Schädelin and Cristina Granziera, How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review (2023), in: NeuroImage: Clinical, 39(103491)

[]: IF 2022: 4.2

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Federico Spagnolo, Adrien Depeursinge, Vincent Andrearczyk, Pascal Benkert, Stefanie Müller, Lutz Achtnichts, Jochen Vehoff, Giulio Di Santo, Oliver Findling, Andrew Chan, Anke Salmen, Caroline Pot, Claire Bridel, Chiara Zecca, Tobias Johannes Derfuss, Johanna M. Lieb, Luca Remonda, Franca Wagner, Maria-Isabel Vargas Gomez, Renaud Du Pasquier, Patrice Lalive, Emanuele Pravatà, Johannes Weber, Claudio Gobbi, David Leppert, Nataliia Molchanova, Meritxell Bach Cuadra, Po-Jui Lu, Mario Ocampo-Pineda, Lester Melie-Garcia, Cagol Alessandro, Ludwig Kappos, Jens Kuhle and Cristina Granziera, Identification of paramagnetic rim lesions using conventional MRI - a deep learning approach, in: 39th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2023

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Nataliia Molchanova, Raina Vatsal, Andrey Malinin, Francesco La Rosa, Henning Müller, Mark Gales, Cristina Granziera, Mara Graziani and Meritxell Bach Cuadra, NOVEL STRUCTURAL-SCALE UNCERTAINTY MEASURES AND ERROR RETENTION CURVES: APPLICATION TO MULTIPLE SCLEROSIS (2023), in: Proceedings of International Symposium of Biomedical Imaging 2023

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Joe Najm, Pedro Gordaliza, Maxence Wynen, Francesco La Rosa, Nataliia Molchanova, Colin Vanden Bulcke, Anna Stolting, Mario Ocampo-Pineda, Cagol Alessandro, Po-Jui Lu, Weigel Matthias, Martina Absinta, Cristina Granziera, Pietro Maggi and Meritxell Bach Cuadra, Streamline RimNet: A Deep Learning Classification of Paramagnetic Rim Lesions, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

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Raina Vatsal, Nataliia Molchanova, Mara Graziani, Andrey Malinin, Po-Jui Lu, Weigel Matthias, Henning Müller, Cristina Granziera, Meritxell Bach Cuadra and Mark Gales, The Normalised Dice Similarity Coefficient for MS: tackling lesion load biases in white matter and cortical lesion segmentation, European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) Conference 2023, 2023

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Nataliia Molchanova, Raina Vatsal, Francesco La Rosa, Andrey Malinin, Henning Müller, Mark Gales, Cristina Granziera, Mara Graziani and Meritxell Bach Cuadra, Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis, ISMRM & ISMRT 2023 Annual Meeting & Exhibition, 2023

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Nataliia Molchanova, Raina Vatsal, Francesco La Rosa, Andrey Malinin, Henning Müller, Mark Gales, Cristina Granziera, Mara Graziani and Meritxell Bach Cuadra, Towards Informative Uncertainty Measures for MRI Segmentation in Clinical Practice: Application to Multiple Sclerosis, in: Bern Interpretable Symposium (BIAS) 2023, 2023

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Andrey Malinin, Andreas Athanasopoulos, Muhamed Barakovic, Meritxell Bach Cuadra, Mark Gales, Cristina Granziera, Mara Graziani, Nikolay Kartashev, Konstantinos Kyriakopoulos, Po-Jui Lu, Nataliia Molchanova, Antonis Nikitakis, Raina Vatsal, Francesco La Rosa, Eli Sivena, Vasileios Tsarsitalidis, Efi Tsompopoulou and Elena Volf, Shifts 2.0: Extending The Dataset of Real Distributional Shifts, arXiv, 2022

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