Towards a diffusion image processing validation and accuracy prediction framework. - Francesca Pizzorni Ferrarese; Alessandro Daducci; Meritxell Bach Cuadra; Alia Lemkaddem; Cristina Granziera; Jean-Philippe Thiran; Gloria Menegaz (ICIP, 2011)

The history and role of long duration stimulation in fMRI. - Gunnar Krueger; Cristina Granziera (NeuroImage, 2012)

Microstructural Description of Cerebral Tissues from Diffusion Spectrum Imaging Data. - Lorenza Brusini; Mauro Zucchelli; Cristina Granziera; Gloria Menegaz (ICHI, 2014)

Diffusion MRI Compartmental Model Analysis of DSI Data. - Francesca Zerbato; Sehresh Khan; Mauro Zucchelli; C. Andres Mendez; Cristina Granziera; Gloria Menegaz (ICHI, 2014)

Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke. - Lorenza Brusini; Silvia Obertino; Mauro Zucchelli; Ilaria Boscolo Galazzo; Gunnar Krueger; Cristina Granziera; Gloria Menegaz (MICCAI (1), 2015)

Quantitative Analysis of Myelin and Axonal Remodeling in the Uninjured Motor Network After Stroke. - Ying-Chia Lin; Alessandro Daducci; Djalel Eddine Meskaldji; Jean-Philippe Thiran; Patrik Michel; Reto Meuli; Gunnar Krueger; Gloria Menegaz; Cristina Granziera (Brain Connect., 2015)

Shore-based biomarkers allow patient versus control classification in stroke. - Silvia Obertino; Lorenza Brusini; Ilaria Boscolo Galazzo; Mauro Zucchelli; Cristina Granziera; Marco Cristani; Gloria Menegaz (ISBI, 2016)

Infinite feature selection on shore-based biomarkers reveals connectivity modulation after stroke. - Silvia Obertino; Giorgio Roffo; Cristina Granziera; Gloria Menegaz (PRNI, 2016)

Ensemble average propagator-based detection of microstructural alterations after stroke. - Lorenza Brusini; Silvia Obertino; Ilaria Boscolo Galazzo; Mauro Zucchelli; Gunnar Krueger; Cristina Granziera; Gloria Menegaz (Int. J. Comput. Assist. Radiol. Surg., 2016)

What lies beneath? Diffusion EAP-based study of brain tissue microstructure. - Mauro Zucchelli; Lorenza Brusini; Carlos Andres Mendez; Alessandro Daducci; Cristina Granziera; Gloria Menegaz (Medical Image Anal., 2016)

White Matter MS-Lesion Segmentation Using a Geometric Brain Model. - Maddalena Strumia; Frank R. Schmidt; Constantinos Anastasopoulos; Cristina Granziera; Gunnar Krueger; Thomas Brox (IEEE Trans. Medical Imaging, 2016)

Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling. - Mário João Fartaria; Alexis Roche; Reto Meuli; Cristina Granziera; Tobias Kober; Meritxell Bach Cuadra (MICCAI (3), 2017)

Can Diffusion MRI Reveal Stroke-Induced Microstructural Changes in GM? - Lorenza Brusini; Ilaria Boscolo Galazzo; Mauro Zucchelli; Cristina Granziera; Gloria Menegaz (BrainLes@MICCAI (1), 2018)

Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis. - Francesco La Rosa; Mário João Fartaria; Tobias Kober; Jonas Richiardi; Cristina Granziera; Jean-Philippe Thiran; Meritxell Bach Cuadra (BrainLes@MICCAI (1), 2018)

Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI. - Yohan Boillat; Pierre-Louis Bazin; Kieran O'Brien; Mário João Fartaria; Guillaume Bonnier; Gunnar Krueger; Wietske van der Zwaag; Cristina Granziera (NeuroImage, 2018)

Enhancing Reliability Of Structural Brain Connectivity With Outlier Adjusted Tractogram Filtering. - Viljami Sairanen; Mario Ocampo-Pineda; Cristina Granziera; Simona Schiavi; Alessandro Daducci (ISBI, 2021)

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients. - Francesco La Rosa; Thomas Yu; Germán Barquero; Jean-Philippe Thiran; Cristina Granziera; Meritxell Bach Cuadra (Comput. Biol. Medicine, 2021)

Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis. - Julia Wolleb; Robin Sandkühler; Muhamed Barakovic; Athina Papadopoulou; Nouchine Hadjikhani; Özgür Yaldizli; Jens Kuhle; Cristina Granziera; Philippe C. Cattin (CoRR, 2021)

Model-informed machine learning for multi-component T2 relaxometry. - Thomas Yu; Erick Jorge Canales-Rodríguez; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Elda Fischi Gomez; Matthias Weigel; Muhamed Barakovic; Meritxell Bach Cuadra; Cristina Granziera; Tobias Kober; Jean-Philippe Thiran (Medical Image Anal., 2021)

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation. - Muhamed Barakovic; Chantal M. W. Tax; Umesh S. Rudrapatna; Maxime Chamberland; Jonathan Rafael-Patino; Cristina Granziera; Jean-Philippe Thiran; Alessandro Daducci; Erick Jorge Canales-Rodríguez; Derek K. Jones (NeuroImage, 2021)

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? - Kurt G. Schilling; François Rheault; Laurent Petit; Colin B. Hansen; Vishwesh Nath; Fang-Cheng Yeh; Gabriel Girard; Muhamed Barakovic; Jonathan Rafael-Patino; Thomas Yu; Elda Fischi Gomez; Marco Pizzolato; et al. (NeuroImage, 2021)

Learn to Ignore: Domain Adaptation for Multi-site MRI Analysis. - Julia Wolleb; Robin Sandkühler; Florentin Bieder; Muhamed Barakovic; Nouchine Hadjikhani; Athina Papadopoulou; Özgür Yaldizli; Jens Kuhle; Cristina Granziera; Philippe C. Cattin (MICCAI (8), 2022)

Microstructure-Weighted Connectomics in Multiple Sclerosis. - Sara Bosticardo; Simona Schiavi; Sabine Schaedelin; Po-Jui Lu; Muhamed Barakovic; Matthias Weigel; Ludwig Kappos; Jens Kuhle; Alessandro Daducci; Cristina Granziera (Brain Connect., 2022)

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. - Francesco La Rosa; Maxence Wynen; Omar Al-Louzi; Erin S. Beck; Till Huelnhagen; Pietro Maggi; Jean-Philippe Thiran; Tobias Kober; Russell T. Shinohara; Pascal Sati; Daniel S. Reich; Cristina Granziera; et al. (CoRR, 2022)

Shifts 2.0: Extending The Dataset of Real Distributional Shifts. - 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; et al. (CoRR, 2022)

Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses. - Viljami Sairanen; Mario Ocampo-Pineda; Cristina Granziera; Simona Schiavi; Alessandro Daducci (NeuroImage, 2022)

Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography. - Simona Schiavi; Po-Jui Lu; Matthias Weigel; Antoine Lutti; Derek K. Jones; Ludwig Kappos; Cristina Granziera; Alessandro Daducci (NeuroImage, 2022)

Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis. - Nataliia Molchanova; Vatsal Raina; Andrey Malinin; Francesco La Rosa; Henning Müller; Mark J. F. Gales; Cristina Granziera; Mara Graziani; Meritxell Bach Cuadra (ISBI, 2023)

Diffusion Models for Contrast Harmonization of Magnetic Resonance Images. - Alicia Durrer; Julia Wolleb; Florentin Bieder; Tim Sinnecker; Matthias Weigel; Robin Sandkühler; Cristina Granziera; Özgür Yaldizli; Philippe C. Cattin (MIDL, 2023)

GAMER-MRIL identifies Disability-Related Brain Changes in Multiple Sclerosis. - Po-Jui Lu; Benjamin Odry; Muhamed Barakovic; Matthias Weigel; Robin Sandkühler; Reza Rahmanzadeh; Xinjie Chen; Mario Ocampo-Pineda; Jens Kuhle; Ludwig Kappos; Philippe C. Cattin; Cristina Granziera (CoRR, 2023)

Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting. - Alicia Durrer; Julia Wolleb; Florentin Bieder; Paul Friedrich 002; Lester Melie-García; Mario Ocampo-Pineda; Cosmin I. Bercea; Ibrahim Ethem Hamamci; Benedikt Wiestler; Marie Piraud; Özgür Yaldizli; Cristina Granziera; et al. (DGM4MICCAI@MICCAI, 2024)

Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling. - Pedro M. Gordaliza; Nataliia Molchanova; Maxence Wynen; Pietro Maggi; Alessandro Cagol; Cristina Granziera; Meritxell Bach Cuadra (LDTM/MMMI/ML4MHD/ML-CDS@MICCAI, 2024)

Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis. - 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 (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI. - Federico Spagnolo; Nataliia Molchanova; Mario Ocampo-Pineda; Lester Melie-García; Meritxell Bach Cuadra; Cristina Granziera; Vincent Andrearczyk; Adrien Depeursinge (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

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

Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation. - Nataliia Molchanova; Vatsal Raina; Andrey Malinin; Francesco La Rosa; Adrien Depeursinge; Mark J. F. Gales; Cristina Granziera; Henning Müller; Mara Graziani; Meritxell Bach Cuadra (Comput. Biol. Medicine, 2025)

Towards contrast-agnostic soft segmentation of the spinal cord. - Sandrine Bédard; Enamundram Naga Karthik; Charidimos Tsagkas; Emanuele Pravatà; Cristina Granziera; Andrew Smith; Kenneth Arnold Weber II; Julien Cohen-Adad (Medical Image Anal., 2025)

Explainability of AI Uncertainty: Application to Multiple Sclerosis Lesion Segmentation on MRI. - 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; et al. (CoRR, 2025)

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord. - Enamundram Naga Karthik; Sandrine Bédard; Jan Valosek; Christoph S. Aigner; Elise Bannier; Josef Bednarík; Virginie Callot; Anna J. E. Combes; Armin Curt; Gergely Dávid; Falk Eippert; Lynn Farner; et al. (CoRR, 2025)

Benchmarking and Explaining Deep Learning Cortical Lesion MRI Segmentation in Multiple Sclerosis. - 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; et al. (CoRR, 2025)