[FG] Granziera Cristina

Bédard, S. et al. (2025) ‘Towards contrast-agnostic soft segmentation of the spinal cord’, Medical Image Analysis, 101, p. 103473. Available at: https://doi.org/10.1016/j.media.2025.103473.

Lukasz Kolakowski, Katarina Alexandra Ebner and Athina Papadopoulou (2025) ‘Headache and Facial Pain in Multiple Sclerosis: A Narrative Review’, Clinical and translational neuroscience [Preprint]. Available at: https://doi.org/10.3390/ctn9010016.

Gordaliza, P.M. et al. (2025) ‘Fluid and White Matter Suppression Contrasts MRI Improves Deep Learning Detection of Multiple Sclerosis Cortical Lesions’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2025.01.19.25320792.

Benkert, Pascal et al. (2025) ‘Serum Glial Fibrillary Acidic Protein and Neurofilament Light Chain Levels Reflect Different Mechanisms of Disease Progression under B-Cell Depleting Treatment in Multiple Sclerosis’, Annals of Neurology, 97(1), pp. 104–115. Available at: https://doi.org/10.1002/ana.27096.

Durrer, Alicia et al. (2025) ‘Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting’, in 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024. Marrakesh, Morocco: Springer Science and Business Media Deutschland GmbH (4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024), pp. 87–97. Available at: https://doi.org/10.1007/978-3-031-72744-3_9.

Molchanova, Nataliia et al. (2025) ‘Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation’, Computers in Biology and Medicine, 184. Available at: https://doi.org/10.1016/j.compbiomed.2024.109336.

Sanabria-Diaz, Gretel et al. (2025) ‘Advanced MRI Measures of Myelin and Axon Volume Identify Repair in Multiple Sclerosis’, Annals of Neurology, 97(1), pp. 134–148. Available at: https://doi.org/10.1002/ana.27102.

Spagnolo, F. et al. (2025) ‘Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI’, in Lecture Notes in Computer Science. Cham: Springer Science and Business Media Deutschland GmbH (Lecture Notes in Computer Science), pp. 121–131. Available at: https://doi.org/10.1007/978-3-031-77610-6_12.

Barakovic, Muhamed et al. (2024) ‘A novel imaging marker of cortical “cellularity” in multiple sclerosis patients’, Scientific Reports, 14(1). Available at: https://doi.org/10.1038/s41598-024-60497-6.

Weigel, M. et al. (2024) ‘Feasibility of interleaved multislice averaged magnetization inversion-recovery acquisitions of the spinal cord’, Magnetic Resonance in Medicine, 92(6), pp. 2588–2595. Available at: https://doi.org/10.1002/mrm.30223.

Pontillo, Giuseppe et al. (2024) ‘Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap’, Neurology, 103(10). Available at: https://doi.org/10.1212/WNL.0000000000209976.

Scalfari, Antonio et al. (2024) ‘Smouldering-Associated Worsening in Multiple Sclerosis: An International Consensus Statement on Definition, Biology, Clinical Implications, and Future Directions’, Annals of Neurology, 96(5), pp. 826–845. Available at: https://doi.org/10.1002/ana.27034.

Gordaliza, P.M. et al. (2024) ‘Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2024.09.17.613272.

Cagol, Alessandro et al. (2024) ‘Advanced Quantitative MRI Unveils Microstructural Thalamic Changes Reflecting Disease Progression in Multiple Sclerosis’, Neurology: Neuroimmunology and NeuroInflammation, 11(6). Available at: https://doi.org/10.1212/NXI.0000000000200299.

Rocca, Maria A. et al. (2024) ‘Current and future role of MRI in the diagnosis and prognosis of multiple sclerosis’, The Lancet Regional Health - Europe, 44. Available at: https://doi.org/10.1016/j.lanepe.2024.100978.

Müller, Jannis et al. (2024) ‘Quantifying Remyelination Using χ-Separation in White Matter and Cortical Multiple Sclerosis Lesions’, Neurology, 103(6). Available at: https://doi.org/10.1212/WNL.0000000000209604.

Spagnolo, F. et al. (2024) ‘Exploiting XAI maps to improve MS lesion segmentation and detection in MRI’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2024.08.29.610090.

Schoenholzer, Kean et al. (2024) ‘Hemimacular Thinning Due to Lesions in the Lateral Geniculate Nucleus in 2 Patients with Neuroinflammatory Diseases’, Neurology: Neuroimmunology and NeuroInflammation, 11(6). Available at: https://doi.org/10.1212/NXI.0000000000200297.

Sastre-Garriga, J. et al. (2024) ‘Value of Optic Nerve MRI in Multiple Sclerosis Clinical Management’, Neurology, 103(3). Available at: https://doi.org/10.1212/wnl.0000000000209677.

Cagol, Alessandro, Tsagkas, Charidimos and Granziera, Cristina (2024) ‘Advanced Brain Imaging in Central Nervous System Demyelinating Diseases’, Neuroimaging Clinics of North America, 34(3), pp. 335–357. Available at: https://doi.org/10.1016/j.nic.2024.03.003.

Graber, M. et al. (2024) ‘Recommendations for the Treatment of Multiple Sclerosis in Family Planning, Pregnancy and Lactation in Switzerland: Immunotherapy’, Clinical and Translational Neuroscience, 8(3), p. 26. Available at: https://doi.org/10.3390/ctn8030026.

Moura, João et al. (2024) ‘Emerging imaging markers in radiologically isolated syndrome: implications for earlier treatment initiation’, Neurological Sciences, 45(7), pp. 3061–3068. Available at: https://doi.org/10.1007/s10072-024-07402-1.

Schuchardt, F.F. et al. (2024) ‘Clinical value of neuroimaging indicators of intracranial hypertension in patients with cerebral venous thrombosis’, Neuroradiology, 66(7), pp. 1161–1176. Available at: https://doi.org/10.1007/s00234-024-03363-6.

Ciccarelli, O. et al. (2024) ‘Using the Progression Independent of Relapse Activity Framework to Unveil the Pathobiological Foundations of Multiple Sclerosis’, Neurology, 103(1). Available at: https://doi.org/10.1212/WNL.0000000000209444.

Wendebourg, Maria Janina et al. (2024) ‘Cervical and thoracic spinal cord gray matter atrophy is associated with disability in patients with amyotrophic lateral sclerosis’, European Journal of Neurology, 31(6). Available at: https://doi.org/10.1111/ene.16268.

Wendebourg, Maria Janina et al. (2024) ‘Cervical and thoracic spinal cord gray matter atrophy is associated with disability in patients with amyotrophic lateral sclerosis’, European Journal of Neurology, 31(6). Available at: https://doi.org/10.1111/ene.16268.

Müller, Jannis et al. (2024) ‘Escalating to medium- versus high-efficacy disease modifying therapy after low-efficacy treatment in relapsing remitting multiple sclerosis’, Brain and Behavior, 14(5). Available at: https://doi.org/10.1002/brb3.3498.

Weigel, M. et al. (2024) ‘Cerebellar Ex Vivo Magnetic Resonance Imaging at its Feasibility Limit: Up to 77-Microns Isotropic Resolution using Low-Bandwidth Balanced Steady State Free Precession (LoBa-bSSFP) Sequences and 3T Standard Equipment’. Cold Spring Harbor Laboratory. Available at: https://doi.org/10.1101/2024.04.18.589707.

Wenger, Antonia, Calabrese, Pasquale and Granziera, Cristina (2024) ‘Unraveling the cerebellum’s role in multiple sclerosis’, Current Opinion in Behavioral Sciences, 56. Available at: https://doi.org/10.1016/j.cobeha.2024.101357.

Janiaud, Perrine et al. (2024) ‘MultiSCRIPT-Cycle 1- A Pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in Multiple Sclerosis: a study protocol for a randomized clinical trial’, medRxiv [Preprint]. Cold Spring Harbor Laboratory (medRxiv). Available at: https://doi.org/10.1101/2024.03.22.24304720.

Callegari, Ilaria et al. (2024) ‘Cell-binding IgM in CSF is distinctive of multiple sclerosis and targets the iron transporter SCARA5’, Brain, 147(3), pp. 839–848. Available at: https://doi.org/10.1093/brain/awad424.

Federau, Christian et al. (2024) ‘Evaluation of the quality and the productivity of neuroradiological reading of multiple sclerosis follow-up MRI scans using an intelligent automation software’, Neuroradiology, 66(3), pp. 361–369. Available at: https://doi.org/10.1007/s00234-024-03293-3.

Vermersch, P. et al. (2024) ‘Inhibition of CD40L with Frexalimab in Multiple Sclerosis’, New England Journal of Medicine, 390(7), pp. 589–600. Available at: https://doi.org/10.1056/NEJMoa2309439.

Oechtering, Johanna et al. (2024) ‘Complement Activation Is Associated With Disease Severity in Multiple Sclerosis’, Neurology: Neuroimmunology and NeuroInflammation, 11(2). Available at: https://doi.org/10.1212/NXI.0000000000200212.

Cagol, Alessandro et al. (2024) ‘Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS’, Neurology, 102(1). Available at: https://doi.org/10.1212/wnl.0000000000207768.

Granziera C (2024) ‘Towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling’, bioRxiv [Preprint]. Available at: https://www.biorxiv.org/content/10.1101/2024.09.17.613272v1.

Harrison, Daniel M. et al. (2024) ‘The use of 7T MRI in multiple sclerosis: review and consensus statement from the North American Imaging in Multiple Sclerosis Cooperative’, Brain Communications, 6(5). Available at: https://doi.org/10.1093/braincomms/fcae359.

Spagnolo, Federico et al. (2024) ‘Down-sampling in diffusion MRI: a bundle-specific DTI and NODDI study’, Frontiers in Neuroimaging, 3. Available at: https://doi.org/10.3389/fnimg.2024.1359589.

Galbusera, Riccardo et al. (2023) ‘Characteristics, Prevalence, and Clinical Relevance of Juxtacortical Paramagnetic Rims in Patients With Multiple Sclerosis’, Neurology, 102(3), p. e207966. Available at: https://doi.org/10.1212/WNL.0000000000207966.

Galbusera, Riccardo et al. (2023) ‘Characteristics, Prevalence, and Clinical Relevance of Juxtacortical Paramagnetic Rims in Patients With Multiple Sclerosis’, Neurology, 102(3). Available at: https://doi.org/10.1212/wnl.0000000000207966.

Granziera, Cristina, Derfuss, Tobias and Kappos, Ludwig (2023) ‘Time to Change the Current Clinical Classification of Multiple Sclerosis?’, JAMA Neurology, 80(2), pp. 128–130. Available at: https://doi.org/10.1001/jamaneurol.2022.4156.