Mario Ocampo-Pineda - HES SO Valais Publications - Aigaion 2.0

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Primeiro nome(s):	Mario
Sobrenome(s):	Ocampo-Pineda

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

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Nataliia Molchanova, Pedro M. Gordaliza, Alessandro Cagol, Mario Ocampo-Pineda, Po-Jui Lu, Matthias Weigel, Xinjie Chen, Erin S. Beck, Haris Tsagkas, Daniel Reich, Anna Stolting, Pietro Maggi, Delphine Ribes, Adrien Depeursinge, Cristina Granziera, Henning Müller and Meritxell Bach Cuadra, Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors, 2025

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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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Federico Spagnolo, Aarushi Bhardwaj, Pedro M. Gordaliza, Po-Jui Lu, Mario Ocampo-Pineda, Meritxell Bach Cuadra, Xinjie Chen, Batuhan Ayci, Alessandro Cagol, Vincent Andrearczyk, Adrien Depeursinge and Cristina Granziera, Deep-PRL: a deep learning network for the identification of paramagnetic rim lesions in multiple sclerosis, in: ISMRM 2025, 2025

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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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Federico Spagnolo, Pedro M. Gordaliza, Aarushi Bhardwaj, Po-Jui Lu, Mario Ocampo-Pineda, Meritxell Bach Cuadra, Matthias Weigel, Esther Ruberte, Xinjie Chen, Tommaso Sirito, Alessandro Cagol, Vincent Andrearczyk, Adrien Depeursinge and Cristina Granziera, A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis (2026), in: Multiple Sclerosis Journal

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, 2025

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[DOI]

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 (2026), in: Nature Scientific Reports

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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

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tempo de processamento: 0.4584 segundos.