[FG] Granziera Cristina
Publications
265 found
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Cagol, A. and Granziera, C. (2026) ‘Turning Our Gaze to the Anterior Visual Pathway’, Neurology, 106(4). Available at: https://doi.org/10.1212/wnl.0000000000214590.
Cagol, A. and Granziera, C. (2026) ‘Turning Our Gaze to the Anterior Visual Pathway’, Neurology, 106(4). Available at: https://doi.org/10.1212/wnl.0000000000214590.
Pretzsch, Roxanne et al. (2026) ‘Neurofilament light chain as a surrogate candidate for disease activity in multiple sclerosis (LUMINOUS)—A meta-regression of randomized controlled trials’, Multiple Sclerosis Journal [Preprint]. Available at: https://doi.org/10.1177/13524585251407973.
Pretzsch, Roxanne et al. (2026) ‘Neurofilament light chain as a surrogate candidate for disease activity in multiple sclerosis (LUMINOUS)—A meta-regression of randomized controlled trials’, Multiple Sclerosis Journal [Preprint]. Available at: https://doi.org/10.1177/13524585251407973.
Cagol, A. et al. (2026) ‘Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis’, Advanced Science [Preprint]. Available at: https://doi.org/10.1002/advs.202512946.
Cagol, A. et al. (2026) ‘Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis’, Advanced Science [Preprint]. Available at: https://doi.org/10.1002/advs.202512946.
Galbusera, Riccardo (2026) Unraveling the Heterogeneity of Multiple Sclerosis Pathology in the Brain through Quantitative MRI. Doctoral Thesis. University of Basel.
Galbusera, Riccardo (2026) Unraveling the Heterogeneity of Multiple Sclerosis Pathology in the Brain through Quantitative MRI. Doctoral Thesis. University of Basel.
Gkotsoulias, Dimitrios G. et al. (2025) ‘Bridging mesoscopic and microscopic scales in multiple sclerosis: Post mortem brain block multi-contrast 9.4T MRI and histology quantification’, STAR Protocols. 17.11.2025, 6(4). Available at: https://doi.org/10.1016/j.xpro.2025.104203.
Gkotsoulias, Dimitrios G. et al. (2025) ‘Bridging mesoscopic and microscopic scales in multiple sclerosis: Post mortem brain block multi-contrast 9.4T MRI and histology quantification’, STAR Protocols. 17.11.2025, 6(4). Available at: https://doi.org/10.1016/j.xpro.2025.104203.
Fabi, Adriano et al. (2025) ‘Neurolymphatic clearance in neurodegenerative disease: emerging mechanisms and potential translational strategies’, JPRAS Open [Preprint]. 17.12.2025. Available at: https://doi.org/10.1016/j.jpra.2025.12.013.
Fabi, Adriano et al. (2025) ‘Neurolymphatic clearance in neurodegenerative disease: emerging mechanisms and potential translational strategies’, JPRAS Open [Preprint]. 17.12.2025. Available at: https://doi.org/10.1016/j.jpra.2025.12.013.
Yu, Hyunjae et al. (2025) ‘Multi-center evaluation of Neurophet AQUA for brain MRI segmentation: T1 compared with FreeSurfer and T2-FLAIR compared with ground truth’, Frontiers in Neurology, 16. Available at: https://doi.org/10.3389/fneur.2025.1672133.
Yu, Hyunjae et al. (2025) ‘Multi-center evaluation of Neurophet AQUA for brain MRI segmentation: T1 compared with FreeSurfer and T2-FLAIR compared with ground truth’, Frontiers in Neurology, 16. Available at: https://doi.org/10.3389/fneur.2025.1672133.
Cagol, A. et al. (2025) ‘The effect of disease-modifying therapies on brain volume loss and disability accumulation in multiple sclerosis: a systematic review and network meta-analysis’, 59. Available at: https://doi.org/10.1016/j.lanepe.2025.101476.
Cagol, A. et al. (2025) ‘The effect of disease-modifying therapies on brain volume loss and disability accumulation in multiple sclerosis: a systematic review and network meta-analysis’, 59. Available at: https://doi.org/10.1016/j.lanepe.2025.101476.
Li, Hao et al. (2025) ‘Spatial and temporal effects of cortical cerebral microinfarcts on the cortical and subcortical regions in cerebral small vessel disease’, Alzheimer S and Dementia, 21. Available at: https://doi.org/10.1002/alz.71056.
Li, Hao et al. (2025) ‘Spatial and temporal effects of cortical cerebral microinfarcts on the cortical and subcortical regions in cerebral small vessel disease’, Alzheimer S and Dementia, 21. Available at: https://doi.org/10.1002/alz.71056.
Maceski, Aleksandra Maleska et al. (2025) ‘GFAP and NfL as predictors of disease progression and relapse activity in fingolimod-treated multiple sclerosis’, Brain [Preprint]. Available at: https://doi.org/10.1093/brain/awaf433.
Maceski, Aleksandra Maleska et al. (2025) ‘GFAP and NfL as predictors of disease progression and relapse activity in fingolimod-treated multiple sclerosis’, Brain [Preprint]. Available at: https://doi.org/10.1093/brain/awaf433.
Sachdev, Perminder S. et al. (2025) ‘Revised Diagnostic Criteria for Vascular Cognitive Impairment and Dementia-The VasCog-2-WSO Criteria’, JAMA Neurology, 82, pp. 1103–1112. Available at: https://doi.org/10.1001/jamaneurol.2025.3242.
Sachdev, Perminder S. et al. (2025) ‘Revised Diagnostic Criteria for Vascular Cognitive Impairment and Dementia-The VasCog-2-WSO Criteria’, JAMA Neurology, 82, pp. 1103–1112. Available at: https://doi.org/10.1001/jamaneurol.2025.3242.
Cai, M. et al. (2025) ‘Cholinergic Disruption Contributes to Motoric Cognitive Dysfunction in Cerebral Small Vessel Disease’, Stroke [Preprint]. Available at: https://doi.org/10.1161/strokeaha.125.052256.
Cai, M. et al. (2025) ‘Cholinergic Disruption Contributes to Motoric Cognitive Dysfunction in Cerebral Small Vessel Disease’, Stroke [Preprint]. Available at: https://doi.org/10.1161/strokeaha.125.052256.
David R, van Nederpelt et al. (2025) ‘User requirements for quantitative radiological reports in multiple sclerosis’, European Radiology, 35. Available at: https://doi.org/10.1007/s00330-025-11544-x.
David R, van Nederpelt et al. (2025) ‘User requirements for quantitative radiological reports in multiple sclerosis’, European Radiology, 35. Available at: https://doi.org/10.1007/s00330-025-11544-x.
Cortese, Rosa et al. (2025) ‘Deep Learning Modeling to Differentiate Multiple Sclerosis from MOG Antibody-Associated Disease’, Neurology, 105. Available at: https://doi.org/10.1212/wnl.0000000000214075.
Cortese, Rosa et al. (2025) ‘Deep Learning Modeling to Differentiate Multiple Sclerosis from MOG Antibody-Associated Disease’, Neurology, 105. Available at: https://doi.org/10.1212/wnl.0000000000214075.
Chen, Xinjie et al. (2025) ‘Unraveling Microstructural and Macrostructural Brain Age Dynamics in Multiple Sclerosis’, Neurology Neuroimmunology & Neuroinflammation, 12(5). Available at: https://doi.org/10.1212/nxi.0000000000200459.
Chen, Xinjie et al. (2025) ‘Unraveling Microstructural and Macrostructural Brain Age Dynamics in Multiple Sclerosis’, Neurology Neuroimmunology & Neuroinflammation, 12(5). Available at: https://doi.org/10.1212/nxi.0000000000200459.
Filler, Jule et al. (2025) ‘Risk factors for dementia and cognitive impairment within 5 years after stroke: a prospective multicentre cohort study’, Lancet Regional Health Europe, 56. Available at: https://doi.org/10.1016/j.lanepe.2025.101428.
Filler, Jule et al. (2025) ‘Risk factors for dementia and cognitive impairment within 5 years after stroke: a prospective multicentre cohort study’, Lancet Regional Health Europe, 56. Available at: https://doi.org/10.1016/j.lanepe.2025.101428.
Riccardo Galbusera et al. (2025) ‘Quantitative T1 is sensitive to cortical remyelination in multiple sclerosis: A postmortem MRI study’, Brain Pathology, 35, p. e70010. Available at: https://doi.org/10.1111/bpa.70010.
Riccardo Galbusera et al. (2025) ‘Quantitative T1 is sensitive to cortical remyelination in multiple sclerosis: A postmortem MRI study’, Brain Pathology, 35, p. e70010. Available at: https://doi.org/10.1111/bpa.70010.
Cerfontaine, Minne N. et al. (2025) ‘Association Between Vascular NOTCH3 Aggregation and Disease Severity in a CADASIL Cohort – Implications for NOTCH3 Variant-Specific Disease Prediction’, Annals of Neurology, 98, pp. 273–285. Available at: https://doi.org/10.1002/ana.27240.
Cerfontaine, Minne N. et al. (2025) ‘Association Between Vascular NOTCH3 Aggregation and Disease Severity in a CADASIL Cohort – Implications for NOTCH3 Variant-Specific Disease Prediction’, Annals of Neurology, 98, pp. 273–285. Available at: https://doi.org/10.1002/ana.27240.
Einsiedler, Maximilian et al. (2025) ‘Treatment Strategies and Disease Activity During Pregnancy and Postpartum’, Neurology Clinical Practice, 15(4). Available at: https://doi.org/10.1212/cpj.0000000000200499.
Einsiedler, Maximilian et al. (2025) ‘Treatment Strategies and Disease Activity During Pregnancy and Postpartum’, Neurology Clinical Practice, 15(4). Available at: https://doi.org/10.1212/cpj.0000000000200499.
Cagol, A. and Rovira, À. (2025) ‘Reinforcing the evidence framework for paramagnetic rim lesions in MS: Advancing toward broad clinical integration’, Multiple Sclerosis Journal, 31. Available at: https://doi.org/10.1177/13524585251349971.
Cagol, A. and Rovira, À. (2025) ‘Reinforcing the evidence framework for paramagnetic rim lesions in MS: Advancing toward broad clinical integration’, Multiple Sclerosis Journal, 31. Available at: https://doi.org/10.1177/13524585251349971.
Kan, C.N. et al. (2025) ‘Tract-specific white matter hyperintensities and neuropsychiatric syndromes: A multicentre memory clinic study’, Journal of Neurology, Neurosurgery and Psychiatry, 96(7), pp. 697–704. Available at: https://doi.org/10.1136/jnnp-2024-334264.
Kan, C.N. et al. (2025) ‘Tract-specific white matter hyperintensities and neuropsychiatric syndromes: A multicentre memory clinic study’, Journal of Neurology, Neurosurgery and Psychiatry, 96(7), pp. 697–704. Available at: https://doi.org/10.1136/jnnp-2024-334264.
Kneihsl, Markus et al. (2025) ‘Topographic Localization of Chronic Cerebellar Ischemic Lesions: Implications for Underlying Cause’, Stroke, 56, pp. 1823–1831. Available at: https://doi.org/10.1161/STROKEAHA.124.049337.
Kneihsl, Markus et al. (2025) ‘Topographic Localization of Chronic Cerebellar Ischemic Lesions: Implications for Underlying Cause’, Stroke, 56, pp. 1823–1831. Available at: https://doi.org/10.1161/STROKEAHA.124.049337.
Müller, Jannis et al. (2025) ‘Standardized Definition of Progression Independent of Relapse Activity (PIRA) in Relapsing-Remitting Multiple Sclerosis’, JAMA Neurology. 14.04.2025, 82(6), pp. 614–625. Available at: https://doi.org/10.1001/jamaneurol.2025.0495.
Müller, Jannis et al. (2025) ‘Standardized Definition of Progression Independent of Relapse Activity (PIRA) in Relapsing-Remitting Multiple Sclerosis’, JAMA Neurology. 14.04.2025, 82(6), pp. 614–625. Available at: https://doi.org/10.1001/jamaneurol.2025.0495.
Cagol, A. and Granziera, C. (2025) ‘Rethinking Multiple Sclerosis Diagnosis’, Neurology Open Access, 1(2). Available at: https://doi.org/10.1212/wn9.0000000000000021.
Cagol, A. and Granziera, C. (2025) ‘Rethinking Multiple Sclerosis Diagnosis’, Neurology Open Access, 1(2). Available at: https://doi.org/10.1212/wn9.0000000000000021.
Neuhaus, D. et al. (2025) ‘Exploring Potential Biomarkers for Amyotrophic Lateral Sclerosis Using Postmortem In Situ Magnetic Resonance Imaging’, NMR in Biomedicine, 38(6). Available at: https://doi.org/10.1002/nbm.70059.
Neuhaus, D. et al. (2025) ‘Exploring Potential Biomarkers for Amyotrophic Lateral Sclerosis Using Postmortem In Situ Magnetic Resonance Imaging’, NMR in Biomedicine, 38(6). Available at: https://doi.org/10.1002/nbm.70059.
Damiano, Marastoni et al. (2025) ‘Intrathecal Inflammatory Profile and Gray Matter Damage Predict Progression Independent of Relapse Activity in Early Multiple Sclerosis’, Neurology: Neuroimmunology and NeuroInflammation, 12(4), p. e200399. Available at: https://doi.org/10.1212/nxi.0000000000200399.
Damiano, Marastoni et al. (2025) ‘Intrathecal Inflammatory Profile and Gray Matter Damage Predict Progression Independent of Relapse Activity in Early Multiple Sclerosis’, Neurology: Neuroimmunology and NeuroInflammation, 12(4), p. e200399. Available at: https://doi.org/10.1212/nxi.0000000000200399.
Denecke, Jannis et al. (2025) ‘Reduced myelin contributes to cognitive impairment in patients with monogenic small vessel disease’, Alzheimer S and Dementia, 21. Available at: https://doi.org/10.1002/alz.70127.
Denecke, Jannis et al. (2025) ‘Reduced myelin contributes to cognitive impairment in patients with monogenic small vessel disease’, Alzheimer S and Dementia, 21. Available at: https://doi.org/10.1002/alz.70127.
Géraldine, Androdias et al. (2025) ‘De-escalating and discontinuing disease-modifying therapies in multiple sclerosis’, Brain, 148(5), pp. 1459–1478. Available at: https://doi.org/10.1093/brain/awae409.
Géraldine, Androdias et al. (2025) ‘De-escalating and discontinuing disease-modifying therapies in multiple sclerosis’, Brain, 148(5), pp. 1459–1478. Available at: https://doi.org/10.1093/brain/awae409.
Greselin, Martina et al. (2025) ‘AI-assisted identification of disability patterns within identical EDSS grades’, Multiple Sclerosis Journal, 31(6), pp. 677–688. Available at: https://doi.org/10.1177/13524585251327300.
Greselin, Martina et al. (2025) ‘AI-assisted identification of disability patterns within identical EDSS grades’, Multiple Sclerosis Journal, 31(6), pp. 677–688. Available at: https://doi.org/10.1177/13524585251327300.
Martina, Greselin et al. (2025) ‘AI-assisted identification of disability patterns within identical EDSS grades’, Multiple Sclerosis Journal, 31(6), pp. 677–688. Available at: https://doi.org/10.1177/13524585251327300.
Martina, Greselin et al. (2025) ‘AI-assisted identification of disability patterns within identical EDSS grades’, Multiple Sclerosis Journal, 31(6), pp. 677–688. Available at: https://doi.org/10.1177/13524585251327300.
Kaminska, Karolina et al. (2025) ‘Bi-allelic variants in three genes encoding distinct subunits of the vesicular AP-5 complex cause hereditary macular dystrophy’, American Journal of Human Genetics, 112(4), pp. 808–828. Available at: https://doi.org/10.1016/j.ajhg.2025.02.015.
Kaminska, Karolina et al. (2025) ‘Bi-allelic variants in three genes encoding distinct subunits of the vesicular AP-5 complex cause hereditary macular dystrophy’, American Journal of Human Genetics, 112(4), pp. 808–828. Available at: https://doi.org/10.1016/j.ajhg.2025.02.015.
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.
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.
Müller, Jannis et al. (2025) ‘Treatment De-escalation in Relapsing-Remitting Multiple Sclerosis: An Observational Study’, CNS Drugs, 39(4), pp. 403–416. Available at: https://doi.org/10.1007/s40263-025-01164-w.
Müller, Jannis et al. (2025) ‘Treatment De-escalation in Relapsing-Remitting Multiple Sclerosis: An Observational Study’, CNS Drugs, 39(4), pp. 403–416. Available at: https://doi.org/10.1007/s40263-025-01164-w.
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.
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.
Stringer, Michael S. et al. (2025) ‘Cerebrovascular Function in Sporadic and Genetic Cerebral Small Vessel Disease’, Annals of Neurology, 97(3), pp. 483–498. Available at: https://doi.org/10.1002/ana.27136.
Stringer, Michael S. et al. (2025) ‘Cerebrovascular Function in Sporadic and Genetic Cerebral Small Vessel Disease’, Annals of Neurology, 97(3), pp. 483–498. Available at: https://doi.org/10.1002/ana.27136.
Elisabeth A, Kappos et al. (2025) ‘The LYMPH trial: comparing microsurgical with conservative treatment for chronic breast cancer-associated lymphoedema - study protocol of a pragmatic randomised international multicentre superiority trial’, BMJ Open, 15(2), p. e090662. Available at: https://doi.org/10.1136/bmjopen-2024-090662.
Elisabeth A, Kappos et al. (2025) ‘The LYMPH trial: comparing microsurgical with conservative treatment for chronic breast cancer-associated lymphoedema - study protocol of a pragmatic randomised international multicentre superiority trial’, BMJ Open, 15(2), p. e090662. Available at: https://doi.org/10.1136/bmjopen-2024-090662.
Benno Gesierich et al. (2025) ‘Extended Technical and Clinical Validation of Deep Learning-Based Brainstem Segmentation for Application in Neurodegenerative Diseases’, Human Brain Mapping, 46(3), p. e70141. Available at: https://doi.org/10.1002/hbm.70141.
Benno Gesierich et al. (2025) ‘Extended Technical and Clinical Validation of Deep Learning-Based Brainstem Segmentation for Application in Neurodegenerative Diseases’, Human Brain Mapping, 46(3), p. e70141. Available at: https://doi.org/10.1002/hbm.70141.
Gesierich, Benno et al. (2025) ‘Extended Technical and Clinical Validation of Deep Learning-Based Brainstem Segmentation for Application in Neurodegenerative Diseases’, Human Brain Mapping, 46. Available at: https://doi.org/10.1002/hbm.70141.
Gesierich, Benno et al. (2025) ‘Extended Technical and Clinical Validation of Deep Learning-Based Brainstem Segmentation for Application in Neurodegenerative Diseases’, Human Brain Mapping, 46. Available at: https://doi.org/10.1002/hbm.70141.
Gordaliza, Pedro 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.
Gordaliza, Pedro 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.
Gravesteijn, Gido et al. (2025) ‘Disease Severity Staging System for NOTCH3 -Associated Small Vessel Disease, Including CADASIL’, JAMA Neurology, 82(1), pp. 49–60. Available at: https://doi.org/10.1001/jamaneurol.2024.4487.
Gravesteijn, Gido et al. (2025) ‘Disease Severity Staging System for NOTCH3 -Associated Small Vessel Disease, Including CADASIL’, JAMA Neurology, 82(1), pp. 49–60. Available at: https://doi.org/10.1001/jamaneurol.2024.4487.
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. 16.10.2024, 97(1), pp. 104–115. Available at: https://doi.org/10.1002/ana.27096.
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. 16.10.2024, 97(1), pp. 104–115. Available at: https://doi.org/10.1002/ana.27096.
Durrer, Alicia (2025) Leveraging Denoising Diffusion Probabilistic Models for Brain Magnetic Resonance Image Processing and Analysis. Doctoral Thesis. University of Basel.
Durrer, Alicia (2025) Leveraging Denoising Diffusion Probabilistic Models for Brain Magnetic Resonance Image Processing and Analysis. Doctoral Thesis. University of Basel.
Durrer, Alicia et al. (2025) ‘Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Marrakesh, Morocco: Springer Science and Business Media Deutschland GmbH (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ), pp. 87–97. Available at: https://doi.org/10.1007/978-3-031-72744-3_9.
Durrer, Alicia et al. (2025) ‘Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Marrakesh, Morocco: Springer Science and Business Media Deutschland GmbH (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ), pp. 87–97. Available at: https://doi.org/10.1007/978-3-031-72744-3_9.
Frey Nascimento, Antje et al. (2025) ‘Talking placebo: a qualitative study of patients’ attitudes toward open-label placebo implementation into clinical practice’, Frontiers in Psychology, 16. Available at: https://doi.org/10.3389/fpsyg.2025.1533663.
Frey Nascimento, Antje et al. (2025) ‘Talking placebo: a qualitative study of patients’ attitudes toward open-label placebo implementation into clinical practice’, Frontiers in Psychology, 16. Available at: https://doi.org/10.3389/fpsyg.2025.1533663.
Gesierich, Benno et al. (2025) ‘Technical and clinical validation of a novel deep learning-based white matter hyperintensity segmentation tool’, Cerebral Circulation Cognition and Behavior, 9. Available at: https://doi.org/10.1016/j.cccb.2025.100393.
Gesierich, Benno et al. (2025) ‘Technical and clinical validation of a novel deep learning-based white matter hyperintensity segmentation tool’, Cerebral Circulation Cognition and Behavior, 9. Available at: https://doi.org/10.1016/j.cccb.2025.100393.
Gordaliza, Pedro M. et al. (2025) ‘Fluid and White Matter Suppression contrasts MRI improves Deep Learning detection of Multiple Sclerosis Cortical Lesions’, Neuroimage Clinical, 48. Available at: https://doi.org/10.1016/j.nicl.2025.103818.
Gordaliza, Pedro M. et al. (2025) ‘Fluid and White Matter Suppression contrasts MRI improves Deep Learning detection of Multiple Sclerosis Cortical Lesions’, Neuroimage Clinical, 48. Available at: https://doi.org/10.1016/j.nicl.2025.103818.
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.
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.
Müller, Jannis, Derfuss, Tobias and Yaldizli, Özgür (2025) ‘Klinische Grundlagen der MS’, in Multiple Sklerose verstehen und behandeln. Springer (Multiple Sklerose verstehen und behandeln).
Müller, Jannis, Derfuss, Tobias and Yaldizli, Özgür (2025) ‘Klinische Grundlagen der MS’, in Multiple Sklerose verstehen und behandeln. Springer (Multiple Sklerose verstehen und behandeln).
Pham, Stanley DT et al. (2025) ‘Small vessel dysfunction at 7T MRI locally predicts white matter damage progression in CADASIL’, Journal of Cerebral Blood Flow and Metabolism [Preprint]. Available at: https://doi.org/10.1177/0271678X251369257.
Pham, Stanley DT et al. (2025) ‘Small vessel dysfunction at 7T MRI locally predicts white matter damage progression in CADASIL’, Journal of Cerebral Blood Flow and Metabolism [Preprint]. Available at: https://doi.org/10.1177/0271678X251369257.
Sharmin, Sifat et al. (2025) ‘MSoutcomes: CORe Multiple Sclerosis Outcomes Toolkit’. Available at: https://doi.org/https://CRAN.R-project.org/package=MSoutcomes.
Sharmin, Sifat et al. (2025) ‘MSoutcomes: CORe Multiple Sclerosis Outcomes Toolkit’. Available at: https://doi.org/https://CRAN.R-project.org/package=MSoutcomes.
Spagnolo, Federico (2025) Toward clinical translation: advancing the understanding of AI models in multiple sclerosis. Doctoral Thesis. University of Basel.
Spagnolo, Federico (2025) Toward clinical translation: advancing the understanding of AI models in multiple sclerosis. Doctoral Thesis. University of Basel.
Spagnolo, F. et al. (2025) ‘Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Cham: Springer Science and Business Media Deutschland GmbH (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ), pp. 121–131. Available at: https://doi.org/10.1007/978-3-031-77610-6_12.
Spagnolo, F. et al. (2025) ‘Exploiting XAI Maps to Improve MS Lesion Segmentation and Detection in MRI’, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . Cham: Springer Science and Business Media Deutschland GmbH (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ), pp. 121–131. Available at: https://doi.org/10.1007/978-3-031-77610-6_12.
Vlegels, Naomi et al. (2025) ‘The relation between cerebral small vessel function and white matter microstructure in monogenic and sporadic small vessel disease - the ZOOM@SVDs study’, Cerebral Circulation Cognition and Behavior, 8. Available at: https://doi.org/10.1016/j.cccb.2025.100383.
Vlegels, Naomi et al. (2025) ‘The relation between cerebral small vessel function and white matter microstructure in monogenic and sporadic small vessel disease - the ZOOM@SVDs study’, Cerebral Circulation Cognition and Behavior, 8. Available at: https://doi.org/10.1016/j.cccb.2025.100383.
Voorter, Paulien H.M. et al. (2025) ‘Heterogeneity and Penumbra of White Matter Hyperintensities in Small Vessel Diseases Determined by Quantitative MRI’, Stroke, 56(1), pp. 128–137. Available at: https://doi.org/10.1161/strokeaha.124.047910.
Voorter, Paulien H.M. et al. (2025) ‘Heterogeneity and Penumbra of White Matter Hyperintensities in Small Vessel Diseases Determined by Quantitative MRI’, Stroke, 56(1), pp. 128–137. Available at: https://doi.org/10.1161/strokeaha.124.047910.
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.
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.
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