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Primary fields of research

My research is in medical image analysis with focus on imaging biomarkers, primarily of Alzheimer's disease (AD) and chronic obstructive pulmonary disease (COPD). This includes image processing and pattern recognition.

Selected publications (AD imaging biomarkers):

• The Value of Hippocampal Volume, Shape and Texture for 11-year Prediction of Dementia: a Population-Based Study / Achterberg, H.C., Sørensen, L., Wolters, F.J., Niessen, W.J., Vernooij, M.W., Ikram, M.A., Nielsen, M., de Bruijne M. Neurobiology of Aging 81: 58-66, 2019.
• Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry / Sørensen, L., Igel, C., Pai, A., Balas, I., Anker, C., Lillholm, M., Nielsen, M. NeuroImage: Clinical 13: 470-482, 2017.
• Early detection of Alzheimer’s disease using MRI hippocampal texture / Sørensen, L., Igel, C., Hansen, N.L., Osler, M., Lauritzen, M., Rostrup, E., Nielsen, M. Human Brain Mapping 37(3): 1148-1161, 2016.

Selected publications (AD progression modeling using imaging biomarkres)

• Robust parametric modeling of Alzheimer's disease progression / Ghazi, M.M., Nielsen, M., Pai, A., Cardoso, M.J., Modat, M., Ourselin, S., and Sørensen, L. arXiv:1908.05338, 2019.
• Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling / Ghazi, M.M., Nielsen, M., Pai, A., Cardoso, M.J., Modat, M., Ourselin, S., and Sørensen, L. Medical Image Analysis 53: 39-46, 2019.

Selected publications (COPD imaging biomarkers):

• Transfer Learning for Multi-Center Classification of Chronic Obstructive Pulmonary Disease / Cheplygina, V., Peña, I.P., Pedersen, J.J.H, Lynch, D.A., Sørensen, L., de Bruijne, M. IEEE Journal of Biomedical and Health Informatics, 2018.
• Texture-Based Analysis of COPD: a Data-Driven Approach / Sørensen, L., Nielsen, M., Lo, P., Ashraf, H., Pedersen, J.J.H., de Bruijne, M. L. Sørensen, M. Nielsen, P. Lo, H. Ashraf, J.J.H. Pedersen, and M. de Bruijne. IEEE Transactions on Medical Imaging 31(1): 70-78, 2012.
• Quantitative analysis of pulmonary emphysema using local binary patterns / Sørensen, L., Shaker S.B., de Bruijne, M. IEEE Transactions on Medical Imaging 29(2): 559-569, 2010.

Selected publications (other)

• (MRI hippocampal texture in depression)
  Subclinical depressive symptoms during late midlife and structural brain alterations: A longitudinal study of Danish men born in 1953 / Osler, M., Sørensen, L., Rozing, M., Calvo, O., Nielsen, M., Rostrup, E. Human Brain Mapping 39(4): 1789-1795, 2018.
• (1st place in CADDementia challenge)
  Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on
  structural MRI: the CADDementia challenge / Bron, E.E., ..., Sørensen, L., et al. NeuroImage 111: 562-579, 2015.
• (Dissimilarity-based multiple instance learning)
  Dissimilarity-based multiple instance learning / Sørensen, L., Loog, M., Tax, D.M.J., Lee, W.-J., de Bruijne, M., Duin, R.P.W. In: Statistical, Structural and Syntactic Pattern Recognition (S+SSPR), 2010.

Resources:

• Computed Tomography Emphysema Database
• COPD Machine Learning Datasets

 

Current research

• Hippocampal texture as an early T1-weighted structural MRI biomarker of Alzheimer's disease
• Combination of MRI biomarkers for imporved Alzheimer's disease diagnosis
• Alzheimer's disease progression modelling using multiple biomarkers