Project publications


  • The Alzheimer’s Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
    RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, F Barkhof, NC Fox, A Eshaghi, T Toni, M Salaterski, V Lunina, M Ansart, S Durrleman, P Lu, S Iddi, D Li, WK Thompson, MC Donohue, A Nahon, Y Levy, D Halbersberg, M Cohen, H Liao, T Li, K Yu, H Zhu, JG Tamez-Pena, A Ismail, T Wood, HC Bravo, M Nguyen, N Sun, J Feng, BTT Yeo, G Chen, K Qi, S Chen, D Qiu, I Buciuman, A Kelner, R Pop, D Rimocea, M Mehdipour Ghazi, M Nielsen, S Ourselin, L Sørensen, V Venkatraghavan, K Liu, C Rabe, P Manser, SM Hill, J Howlett, Z Huang, S Kiddle, S Mukherjee, A Rouanet, B Taschler, BDM Tom, SR White, N Faux, S Sedai, J de Velasco Oriol, EEV Clemente, K Estrada, L Aksman, A Altmann, CM Stonnington, Y Wang, J Wu, V Devadas, C Fourrier, LL Raket, A Sotiras, G Erus, J Doshi, C Davatzikos, J Vogel, A Doyle, A Tam, A Diaz-Papkovich, E Jammeh, I Koval, P Moore, TJ Lyons, J Gallacher, J Tohka, R Ciszek, B Jedynak, K Pandya, M Bilgel, W Engels, J Cole, P Golland, S Klein, DC Alexander
    arXiv:2002.03419, 2020
    [Paper pre-print (PDF)] [Link (arXiv)]

PhD theses

To appear

Peer-reviewed journal papers

Peer-reviewed conference and workshop papers


  • Comparison of SWI and T2S for learning based microbleed segmentation
    I Groothuis, S. Ingala, C. Sudre, L. Lorenzini, A. Pai, L. Sørensen, J. Cardoso, M. Nielsen, S. Ourselin, F. Barkhof, M. Modat
    IEEE International Symposium on Biomedical Imaging (ISBI 2021), accepted
  • Disease Progression Modeling-Based Prediction of Cognitive Decline
    M Mehdipour Ghazi, et. al
    The Alzheimer’s Association International Conference (AAIC 2020), 2020
  • MRI Biomarkers Improve Disease Progression Modeling-based Prediction of Cognitive Decline
    M Mehdipour Ghazi, M. Nielsen, A. Pai, M. Modat, M.J. Cardoso, S. Ourselin, and L. Sørensen.
    Radiological Society of North America (RSNA 2019), 2019
    [Abstract (HTML)]


  • Automatic segmentation of microbleeds in 3D MRI
    I Groothuis, C Sudre, A Pai, L Sørensen, M Nielsen, F Barkhof, S Ourselin, MJ Cardoso, M Modat.
    Medical Imaging Summer School (MISS 2018), 2018
  • Parametric disease progression modeling: an empirical comparison of sigmoidal basis functions
    M Mehdipour Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, L Sørensen.
    Second International Workshop on Modelling the Progression Of Neurological Disease (POND 2018), 2018

Relevant publications pre-project

Disease progression modeling

  • A simulation system for biomarker evolution in neurodegenerative disease
    AL Young, NP Oxtoby, S Ourselin, JM Schott, DC Alexander.
    Medical image analysis 26(1):47-56, 2015
  • Estimating anatomical trajectories with Bayesian mixed-effects modeling
    G Ziegler, WD Penny, GR Ridgway, S Ourselin, KJ Friston.
    NeuroImage 121: 51-68, 2015
  • A data-driven model of biomarker changes in sporadic Alzheimer’s disease
    AL Young, NP Oxtoby, P Daga, DM Cash, NC Fox, S Ourselin, JM Schott, DC Alexander.
    Brain 137(9): 2564-2577, 2014
  • An event-based model for disease progression and its application in familial Alzheimer’s disease and Huntington’s disease
    HM Fonteijn, M Modat, MJ Clarkson, J Barnes, M Lehmann, NZ Hobbs, RI Scahill, SJ Tabrizi, S Ourselin, NC Fox, DC Alexander.
    NeuroImage 60(3): 1880-1889, 2012

Imaging biomarkers of dementia

  • Differential diagnosis of mild cognitive impairment and Alzheimer’s disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry
    L Sørensen, C Igel, A Pai, I Balas, C Anker, M Lillholm, M Nielsen.
    NeuroImage: Clinical 13: 470-482, 2017
  • Early detection of Alzheimer’s disease using MRI hippocampal texture
    L Sørensen, C Igel, NL Hansen, M Osler, M Lauritzen, E Rostrup, M Nielsen.
    Human Brain Mapping 37(3): 1148-1161, 2016
  • Bayesian model selection for pathological neuroimaging data applied to white matter lesion segmentation
    CH Sudre, MJ Cardoso, WH Bouvy, GJ Biessels, J Barnes, S Ourselin.
    IEEE transactions on medical imaging 34(10): 2079-2102, 2015
  • Brain region’s relative proximity as marker for Alzheimer’s disease based on structural MRI
    L Lillemark, L Sørensen, A Pai, EB Dam, M Nielsen.
    BMC Medical Imaging 14(1):21, 2014
  • Accurate multimodal probabilistic prediction of conversion to Alzheimer’s disease in patients with mild cognitive impairment
    J Young, M Modat, MJ Cardoso, A Mendelson, D Cash, S Ourselin.
    NeuroImage: Clinical 2: 735–745, 2013