Selected publications

Last updated: 2021/04/14


  • M. D. Schirmer, et al., Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge, Medical Image Analysis.
  • A. K. Bonkhoff, M. D. Schirmer, et al., Outcome after acute ischemic stroke is linked to sex-specific lesion patterns, Nature Communications [accepted].
  • J. M. Weller, S. J. Enkirch, C. Bogs, T. B. Braemswig, M. Deb-Chatterji, F. Keil, C. Kindler, S. Maywald, M. D. Schirmer, et al., Endovascular treatment for acute stroke in cerebral amyloid angiopathy, Stroke [accepted].
  • A. K. Bonkhoff, M. D. Schirmer, et al., Abnormal dynamic functional connectivity is linked to recovery after acute ischemic stroke, Human Brain Mapping.
  • M. Bretzner, A. K. Bonkhoff, M. D. Schirmer, et al., MRI Radiomic Signature of White Matter Hyperintensities Is Associated with Clinical Phenotypes, [submitted; pre-print available].
  • N. Raposo, M. C. Zanon Zotin, D. Schoemaker, L. Xiong, P. Fotiadis, A. Charidimou, M. Pasi, G. Boulouis, K. Schwab, M. D. Schirmer, et al., Peak Width of Skeletonized Mean Diffusivity as Neuroimaging Biomarker in Cerebral Amyloid Angiopathy, American Journal of Neuroradioly.
  • R.W. Regenhardt, M. R. Etherton, A. S. Das, M. D. Schirmer, et al., White Matter Acute Infarct Volume After Thrombectomy for Anterior Circulation Large Vessel Occlusion Stroke is Associated with Long Term Outcomes, Journal of Stroke and Cerebrovascular Diseases.
  • R.W. Regenhardt, M. R. Etherton, A. S. Das, M. D. Schirmer, et al., Infarct growth despite endovascular thrombectomy recanalization in large vessel occlusive stroke, Journal of Neuroimaging.


  • F. Dubost, M. de Bruijne, M. Nardin, A. V. Dalca, K. L. Donahue, A.-K. Giese, M. R. Etherton, O. Wu, M. de Groot, W. Niessen, M. Vernooij, N. S. Rost, M. D. Schirmer, Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation, Medical Image Analysis.
  • Schirmer, M. D., et al., Brain Volume: An Important Determinant of Functional Outcome After Acute Ischemic Stroke. Mayo Clinic Proceedings.
  • Giese, A.-K., Schirmer, M. D., et al., White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype, Neurology
  • M. Drake, P. Frid, B. M. Hansen, O. Wu, A.-K. Giese, M. D. Schirmer, et al., Diffusion Weighted Imaging, MR Angiography and Baseline Data in a Systematic Multi-Center Analysis of 3301 MRI Scans of Ischemic Stroke Patients - Neuroradiological review within the MRI-GENIE study, Frontiers in Neurology.
  • D. Schoemaker, Y. Zuluaga, A. Viswanathan, M. D. Schirmer, et al., The INECO Frontal Screening for the evaluation of executive dysfunction in cerebral small vessel disease: evidence from quantitative MRI in a CADASIL cohort from Colombia, Journal of the International Neuropsychological Society.
  • A. K. Bonkhoff, M. D. Schirmer, et al., Dynamic functional connectivity analysis reveals transiently increased segregation in patients with severe stroke, [submitted; Pre-print available].
  • Griessenauer, C. J., McPherson, D., Berger, A., Cuiper, P., Sofoluke, N., Adams, M. D., Kunaprayoon S., Zand R., Li J., Abedi V., Goren O., Schirmer C.M., Donahue K., Nardin M., Giese A.-K., Schirmer M.D., Rost N.S., Hendrix P, Effects of White Matter Hyperintensities on 90-Day Functional Outcome after Large Vessel and Non-Large Vessel Stroke, Cerebrovascular Diseases.


  • M. D. Schirmer, et al., Brain connectivity measures improve modeling of functional outcome after acute ischemic stroke, Stroke.
  • M. D. Schirmer, et al., Rich-Club organization: an important determinant of functional outcome after acute ischemic stroke, Frontiers Neurology.
  • M. D. Schirmer and A. W. Chung, Heat Kernels with Functional Connectomes Reveal Atypical Energy Transport in Peripheral Subnetworks in Autism, Connectomics in NeuroImaging 2019.
  • P. Frid, M. Drake, A.-K. Giese, J. Wasselius, M. D. Schirmer, et al., Detailed phenotyping of posterior vs. anterior circulation ischemic stroke: A multi-center MRI study, Journal of Neurology.
  • A. W. Chung and M. D. Schirmer, Network Dependency Index Stratified Subnetwork Analysis of Functional Connectomes: An Application to Autism, Connectomics in NeuroImaging 2019.
  • B. Egger, M. D. Schirmer, et al., Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators, MICCAI 2019.
  • M. D. Schirmer, et al., White Matter Hyperintensity Quantification in Large-Scale Clinical Acute Ischemic Stroke Cohorts – The MRI-GENIE Study, Neuroimage: Clinical.
  • M. D. Schirmer, et al., Network Structural Dependency in the Human Connectome Across the Lifespan, Network Neuroscience.
  • L. Xiong, A. Charidimou, M. Pasi, G. Boulouis, T. Pongpitakmetha, M. D. Schirmer, et al., Predictors for late post-ICH dementia in patients with probable CAA, Journal of Alzheimer’s Disease.
  • M. D. Schirmer, et al., Spatial signature of white matter hyperintensities in stroke patients, Frontiers Neurology.
  • J. Wahsner, P. Desogere, J. Wang, K. A. Graham-O’Regan, E. Abston, M. D. Schirmer, et al., 68Ga-NODAGA-indole, an allysine-reactive PET probe for molecular imaging of actively progressive pulmonary fibrosis, Journal of the American Chemical Society.
  • O. Wu, S. Winzeck, A. Giese, B. L. Hancock, M.J.R.J. Bouts, K. Donahue, M. D. Schirmer, et al., Big data approaches to phenotyping stroke risk and severity: the use of artificial intelligence for acute ischemic lesion segmentation of multi-center clinical diffusion-weighted MRI, Stroke.


  • M. D. Schirmer and Ai Wern Chung, Structural subnetwork evolution across the life-span: rich-club, feeder, seeder, Connectomics in NeuroImaging 2018.
  • M. D. Schirmer et al., Effective reserve: a latent variable to improve outcome prediction in stroke, JSCVD.
  • A Charidimou, A. Giese, M. Parsi, S. J. van Veluw, L. Xiong, P. Fotiadis, S. Marini, M. D. Schirmer, A. Viswanathan, Journal club: Florbetapir imaging in cerebral amyloid angiopathy-related hemorrhages, Neurology.


  • S. Parisot, B. Glocker, S. I. Ktena, S. Arslan, M. D. Schirmer, D. Rueckert, A flexible graphical model for multi-modal parcellation of the cortex, NeuroImage.
  • A. K. Giese, M. D. Schirmer, et al., Design and rationale for examining neuroimaging genetics in ischemic stroke The MRI-GENIE study, Neurology Genetics.


  • A. W. Chung, M. D. Schirmer, et al., Characterising brain network topologies: a dynamic analysis approach using heat kernels, NeuroImage.
  • S. Parisot, B. Glockner, M. D. Schirmer, D. Rueckert, GraMPa: Graph-based Multi-modal Parcellation of the Cortex using Fusion Moves, MICCAI2016.
  • S Parisot, J Passerat-Palmbach, M. D. Schirmer, B Gutman, Proceedings of the Workshop on Brain Analysis using COnnectivity Networks-BACON 2016, arXiv.


  • M. D. Schirmer, Developing Brain Connectivity - Effects of Parcellation Scale on Network Analysis in Neonates, King's College London.
  • M. D. Schirmer, et al., Parcellation-Independent Multi-Scale Framework for Brain Network Analysis, CDMRI 2014. Springer Berlin Heidelberg, 2015.


  • M. Schirmer, et al., Normalisation of Neonatal Brain Network Measures Using Stochastic Approaches, MICCAI2013.
  • T. Yasui, M. Jewariya, T. Yasuda, M. Schirmer, at al., Real-Time Two-Dimensional Spatio-Temporal Terahertz Imaging Based on Non-Collinear Free-Space Electro-Optic Sampling and Application to Functional Terahertz Imaging of Moving Object, IEEE STQE.


  • M. Schirmer, et al., Biomedical applications of a real-time terahertz color scanner, Biomed. Opt. Express.