Publications in OpenAlex of which a co-author is affiliated to this organization
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| Title | DOI |
|---|---|
| https://doi.org/10.1212/nxi.0000000000200089 | Occurrence and Severity of Coronavirus Disease 2019 Are Associated With Clinical Disability Worsening in Patients With Multiple Sclerosis |
| https://doi.org/10.1089/neu.2022.0365 | Use of Support Vector Machines Approach via ComBat Harmonized Diffusion Tensor Imaging for the Diagnosis and Prognosis of Mild Traumatic Brain Injury: A CENTER-TBI Study |
| https://doi.org/10.1002/jor.24684 | Diffusion tensor imaging of the anterior cruciate ligament following primary repair with internal bracing: A longitudinal study |
| https://doi.org/10.1186/s13054-022-04250-3 | Serum biomarkers identify critically ill traumatic brain injury patients for MRI |
| https://doi.org/10.1038/s41598-024-71273-x | APIS: a paired CT-MRI dataset for ischemic stroke segmentation - methods and challenges |
| https://doi.org/10.7224/1537-2073.2021-006 | The Multiple Sclerosis Data Alliance Catalogue |
| https://doi.org/10.1016/j.breast.2022.02.001 | Neuroinflammation as potential precursor of leukoencephalopathy in early-stage breast cancer patients: A cross-sectional PET-MRI study |
| https://doi.org/10.3390/diagnostics12071608 | AI-Based Chest CT Analysis for Rapid COVID-19 Diagnosis and Prognosis: A Practical Tool to Flag High-Risk Patients and Lower Healthcare Costs |
| https://doi.org/10.1002/14651858.cd013834.pub2 | Virtual reality for multiple sclerosis rehabilitation |
| https://doi.org/10.1016/j.nicl.2021.102632 | Increased brain atrophy and lesion load is associated with stronger lower alpha MEG power in multiple sclerosis patients |
| https://doi.org/10.1145/3462764 | Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer’s Disease |
| https://doi.org/10.1172/jci.insight.158444 | Fcγ receptor–mediated cross-linking codefines the immunostimulatory activity of anti-human CD96 antibodies |
| https://doi.org/10.1177/13524585221139575 | Selective vulnerability of brainstem and cervical spinal cord regions in people with non-progressive multiple sclerosis of Black or African American and European ancestry |
| https://doi.org/10.1038/s41598-022-26204-z | Radial diffusivity reflects general decline rather than specific cognitive deterioration in multiple sclerosis |
| https://doi.org/10.1007/s11682-023-00787-1 | Maternal anxiety during pregnancy is associated with weaker prefrontal functional connectivity in adult offspring |
| https://doi.org/10.1109/isbi.2019.8759229 | A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans |
| https://doi.org/10.1177/13524585241253777 | Stimulus-related modulation in the 1/f spectral slope suggests an impaired inhibition during a working memory task in people with multiple sclerosis |
| https://doi.org/10.1016/j.bonr.2020.100539 | Automated detection of vertebral fractures in CT using 3D convolutional neural networks |
| https://doi.org/10.1186/s12931-025-03117-9 | Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients |
| https://doi.org/10.1007/978-3-031-16443-9_51 | The Dice Loss in the Context of Missing or Empty Labels: Introducing $$\varPhi $$ and $$\epsilon $$ |
| https://doi.org/10.1016/j.msard.2022.104116 | Individual differences in visual evoked potential latency are associated with variance in brain tissue volume in people with multiple sclerosis: An analysis of brain function-structure correlates |
| https://doi.org/10.1177/13524585231216007 | The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment |
| https://doi.org/10.3174/ajnr.a8406 | Automated Volumetric Software in Dementia: Help or Hindrance to the Neuroradiologist? |
| https://doi.org/10.1038/s41467-025-62373-x | DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge |
| https://doi.org/10.1002/cam4.70707 | Secretomes From Non‐Small Cell Lung Cancer Cells Induce Endothelial Plasticity Through a Partial Endothelial‐to‐Mesenchymal Transition |
| https://doi.org/10.2196/53503 | A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study |
| https://doi.org/10.1038/s41598-025-12975-8 | Assessing the link between cerebellar volume and cognitive function in Alzheimer’s disease: a pilot study |
| https://doi.org/10.1126/scitranslmed.adt5585 | SV2A-PET imaging uncovers cortical synapse loss in multiple sclerosis |
| https://doi.org/10.3389/fnins.2025.1540480 | Automatic brain quantification in children with unilateral cerebral palsy |
| https://doi.org/10.3389/fneur.2025.1557947 | RECLAIM—A retrospective, multicenter observational study aimed at enabling the development of artificial intelligence-driven prognostic models for disease progression in multiple sclerosis |
| https://doi.org/10.3389/fneur.2025.1637835 | Real-world brain volumetry in multiple sclerosis: importance of methodological consistency and clinical relevance of gray matter atrophy |
| https://doi.org/10.1212/wnl.0000000000000491 | Partial deletion of AFG3L2 causing spinocerebellar ataxia type 28 |
| https://doi.org/10.3233/jad-171140 | A Retrospective Belgian Multi-Center MRI Biomarker Study in Alzheimer’s Disease (REMEMBER) |
| https://doi.org/10.1007/978-1-4939-3118-7_9 | DTI Analysis Methods: Region of Interest Analysis |
| https://doi.org/10.1007/978-3-319-61188-4 | Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging |
| https://doi.org/10.1016/j.nicl.2018.09.011 | Non-invasive assessment of disease progression and neuroprotective effects of dietary coconut oil supplementation in the ALS SOD1G93A mouse model: A 1H-magnetic resonance spectroscopic study |
| https://doi.org/10.1038/s41598-019-38914-y | A patch-based super resolution algorithm for improving image resolution in clinical mass spectrometry |
| https://doi.org/10.1089/neu.2019.6710 | Prognostic Validation of the NINDS Common Data Elements for the Radiologic Reporting of Acute Traumatic Brain Injuries: A CENTER-TBI Study |
| https://doi.org/10.1016/j.mri.2017.04.010 | The effect of morphological and microstructural integrity of the corpus callosum on cognition, fatigue and depression in mildly disabled MS patients |
| https://doi.org/10.1002/jmri.26333 | Potential of a statistical approach for the standardization of multicenter diffusion tensor data: A phantom study |
| https://doi.org/10.14444/2035 | Fine grained osseointegrative coating improves biocompatibility of PEEK in heterotopic sheep model |
| https://doi.org/10.3390/brainsci11121570 | Health Economic Impact of Software-Assisted Brain MRI on Therapeutic Decision-Making and Outcomes of Relapsing-Remitting Multiple Sclerosis Patients—A Microsimulation Study |
| https://doi.org/10.1002/dad2.12135 | Analyzing large Alzheimer's disease cognitive datasets: Considerations and challenges |
| https://doi.org/10.1259/bjr.20180926 | Towards a standard MRI protocol for multiple sclerosis across the UK |
| https://doi.org/10.1002/14651858.cd013712 | Trunk training for improving activities in people with stroke |
| https://doi.org/10.1177/19714009211067400 | Neural diffusion tensor imaging metrics correlate with clinical measures in people with relapsing-remitting MS |
| https://doi.org/10.1017/cjn.2019.329 | Human Leukocyte Antigen Genotype as a Marker of Multiple Sclerosis Prognosis |
| https://doi.org/10.1016/j.msard.2022.104072 | Severity of COVID19 infection among patients with multiple sclerosis treated with interferon-β |
| https://doi.org/10.1002/14651858.cd013834 | Virtual reality for multiple sclerosis rehabilitation |
| https://doi.org/10.1016/j.clineuro.2013.11.014 | Atypical cerebral language dominance in a right-handed patient: An anatomoclinical study |
| https://doi.org/10.1016/j.nicl.2016.10.012 | Reliability of measuring regional callosal atrophy in neurodegenerative diseases |
| https://doi.org/10.1371/journal.pone.0180268 | The successive projection algorithm as an initialization method for brain tumor segmentation using non-negative matrix factorization |
| https://doi.org/10.1016/j.jns.2017.02.019 | HLA genotype as a marker of multiple sclerosis prognosis: A pilot study |
| https://doi.org/10.3390/jcm11030523 | Brain Volume Loss Can Occur at the Rate of Normal Aging in Patients with Multiple Sclerosis Who Are Free from Disease Activity |
| https://doi.org/10.1177/1971400917721521 | Intercontinental validation of brain volume measurements using MSmetrix |
| https://doi.org/10.1007/978-3-319-68612-7_73 | A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations |
| https://doi.org/10.1212/nxi.0000000000000470 | Mononuclear cell transcriptome changes associated with dimethyl fumarate in MS |
| https://doi.org/10.1109/tbme.2018.2850911 | Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging |
| https://doi.org/10.1371/journal.pone.0250228 | Methylene tetrahydrofolate reductase A1298C polymorphisms influence the adult sequelae of chemotherapy in childhood-leukemia survivors |
| https://doi.org/10.1016/j.neuroimage.2022.119219 | Improved diffusion parameter estimation by incorporating T2 relaxation properties into the DKI-FWE model |
| https://doi.org/10.1007/s00429-022-02486-x | Myelin water fraction in relation to fractional anisotropy and reading in 10-year-old children |
| https://doi.org/10.1371/journal.pone.0283610 | Detecting CTP truncation artifacts in acute stroke imaging from the arterial input and the vascular output functions |
| https://doi.org/10.1177/19714009211049714 | Morphometric evaluation of traumatic axonal injury and the correlation with post-traumatic cerebral atrophy and functional outcome |
| https://doi.org/10.1016/j.msard.2024.106148 | Utility of icobrain for brain volumetry in multiple sclerosis clinical practice |
| https://doi.org/10.1007/s12311-012-0420-4 | Mastication Dyspraxia: A Neurodevelopmental Disorder Reflecting Disruption of the Cerebellocerebral Network Involved in Planned Actions |
| https://doi.org/10.1007/978-3-030-39752-4_1 | Detection of Vertebral Fractures in CT Using 3D Convolutional Neural Networks |
| https://doi.org/10.1007/s00330-020-07051-w | Diffusion tensor imaging of the anterior cruciate ligament graft following reconstruction: a longitudinal study |
| https://doi.org/10.1007/978-3-030-00931-1_44 | Thalamic Nuclei Segmentation Using Tractography, Population-Specific Priors and Local Fibre Orientation |
| https://doi.org/10.3390/jpm12030433 | Innovating Care in Multiple Sclerosis: Feasibility of Synchronous Internet-Based Teleconsultation for Longitudinal Clinical Monitoring |
| https://doi.org/10.1186/s40673-015-0036-9 | Atypical cerebral and cerebellar language organisation: a case study |
| https://doi.org/10.1109/isbi.2016.7493305 | Patch based super-resolution of MR spectroscopic images |
| https://doi.org/10.1371/journal.pone.0194388 | The effect of task modality and stimulus frequency in paced serial addition tests on functional brain activity |
| https://doi.org/10.1007/978-3-030-59728-3_58 | Differentiable Deconvolution for Improved Stroke Perfusion Analysis |
| https://doi.org/10.1007/978-3-319-61188-4_19 | Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation |
| https://doi.org/10.1007/978-3-030-46640-4_10 | Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data |
| https://doi.org/10.1002/mrm.29565 | Post‐acquisition water‐signal removal in |
| https://doi.org/10.1007/s00415-018-9039-9 | Targeting phosphocreatine metabolism in relapsing–remitting multiple sclerosis: evaluation with brain MRI, 1H and 31P MRS, and clinical and cognitive testing |
| https://doi.org/10.1007/978-3-031-33842-7_1 | Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings |
| https://doi.org/10.1002/nbm.5012 | Deep learning pipeline for quality filtering of MRSI spectra |
| https://doi.org/10.1212/wnl.88.16_supplement.p4.376 | Comparison of Brain Atrophy Measurement Techniques in a Longitudinal Study of Multiple Sclerosis Patients with Frequent MRIs (P4.376) |
| https://doi.org/10.1111/ene.16300 | Clinical effectiveness of coronavirus disease 2019 vaccination in patients with multiple sclerosis stratified by disease‐modifying treatment |
| https://doi.org/10.1016/j.jns.2013.07.374 | Mindfulness in Parkinson’s Disease leads to increases in gray matter density |
| https://doi.org/10.1002/alz.050644 | Diagnostic performance of automated MRI volumetry by icobrain DM for Alzheimer's disease in a clinical setting: A REMEMBER study |
| https://doi.org/10.1183/13993003.congress-2022.95 | COVID-19 diagnosis and disease severity prediction assessment through an innovative AI-based model |
| https://doi.org/10.1183/13993003.congress-2022.3000 | (Early) Economic Evaluation of the AI-based software ‘icolung’ for the detection and prognosis of COVID cases from CT scans |
| https://doi.org/10.1016/j.jneuroim.2024.578397 | Evaluating the effect of dimethyl fumarate on subclinical biomarkers in a real-world patient cohort |
| https://doi.org/10.1109/jlt.2024.3477273 | A Bi-Directional Distributed Multi-User MIMO Testbed Using Digital Sigma-Delta-Over-Fiber |
| https://doi.org/10.3389/fnins.2025.1591169 | Harmonization of diffusion MRI on healthy subjects using NeuroCombat and LongCombat: a B-Q MINDED brain intra- and inter-scanner study |
| https://doi.org/10.1016/j.bandc.2025.106319 | White matter microstructure and cognitive abilities in 28-year-old offspring prenatally exposed to maternal anxiety: A prospective exploratory multimodal brain imaging study |
| https://doi.org/10.1007/s00138-012-0454-0 | SLAC: Statistical total lesion metabolic activity computation by fuzzy unsupervised learning of PET images |
| https://doi.org/10.1007/978-3-319-43504-6_15 | Use Case I: Imaging Biomarkers in Neurological Disease. Focus on Multiple Sclerosis |
| https://doi.org/10.1007/978-3-030-32695-1_9 | Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors |
| https://doi.org/10.1016/j.media.2021.102211 | AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning |
| https://doi.org/10.1117/12.2580889 | Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions |
| https://doi.org/10.1007/978-3-642-33415-3_14 | Fuzzy Multi-class Statistical Modeling for Efficient Total Lesion Metabolic Activity Estimation from Realistic PET Images |
| https://doi.org/10.1007/978-1-4939-3118-7_15 | DTI in Diagnosis and Follow-Up of Brain Tumors |
| https://doi.org/10.1016/j.jneuroling.2015.08.004 | Cerebral and cerebellar language organization in a right-handed subject with a left temporal porencephalic cyst: An fMRI study |
| https://doi.org/10.1016/j.jalz.2015.08.077 | P4‐248: Resting state functional MRI as a possible biomarker for Alzheimer's disease: An innovative approach for robust extraction of the default mode network |
| https://doi.org/10.1016/j.jalz.2015.08.078 | P4‐249: Admetrix: A new method for atrophy quantification in Alzheimer's disease |
| https://doi.org/10.1136/emj-2020-rcemabstracts.35 | 361 The relationship between intracranial MRI abnormalities and post-concussive symptoms in ED patients with a normal CT: as demonstrated on the Rivermead Post Concussion Symptom Questionnaire (RPQ) |