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Primære forskningsområder

Min forskning er indenfor medicinsk billedanalyse med fokus på billed-biomarkører, primært for Alzheimers sygdom og kronisk obstruktiv lungesygdom (KOL). Dette inkluderer billedbehandling og mønstergenkendelse.

Udvalgte publikationer (billed-biomarkører for Alzheimers sygdom):

• 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.

Udvalgte publikationer (modelering af Alzheimers sygdomsudvikling med billed-biomarkører)

• 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.

Udvalgte publikationer (billed-biomarkører for KOL):

• 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.

Udvalgte publikationer (andet)

• (MRI hippocampus-tekstur indenfor 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
• (Førsteplads i CADDementia-konkurrence)
  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.

Ressourcer:

• Computed Tomography Emphysema Database
• COPD Machine Learning Datasets

Aktuel forskning

• Hippocampustekstur som en tidlig T1-vægtet strukturel MRI biomarkør for Alzheimers sygdom
• Kombination af MRI biomarkører for forbedret diagnose af Alzheimers sygdom
• Modellering af udviklingen af Alzheimers sygdom ved hjælp af adskilllige biomarkører