Publikationer pr. år
Publikationer pr. år
Personlig profil
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:
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
Ekspertise relateret til FN’s Verdensmål
I 2015 blev FN-landende enige om 17 Verdensmål til at standse fattigdom, beskytte planeten og sikre velstand for alle. Denne persons arbejde bidrager til følgende verdensmål:
Emneord
- Det Natur- og Biovidenskabelige Fakultet
Fingeraftryk
Dyk ned i forskningsemnerne, hvor xfj310 xfj310 er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
- 12 Lignende profiler
Publikation
-
Knowledge Distillation for Semi-supervised Domain Adaptation
Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, C., Ourselin, S., Modat, M., Nielsen, M. & Pai, A., 1 jan. 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
-
Multi-domain adaptation in brain MRI through paired consistency and adversarial learning
Orbes-Arteaga, M., Varsavsky, T., Sudre, C. H., Eaton-Rosen, Z., Haddow, L. J., Sørensen, L., Nielsen, M., Pai, A., Ourselin, S., Modat, M., Nachev, P. & Cardoso, M. J., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (red.). Springer VS, s. 54-62 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11795 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
-
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation
Orbes-Arteaga, M., Sørensen, L., Cardoso, J., Modat, M., Ourselin, S., Sommer, S. H., Nielsen, M., Igel, C. & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
-
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., 2019, I: Neurobiology of Aging. 81, s. 58-66Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
-
Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling
Mehdipour Ghazi, M., Nielsen, M., Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., apr. 2019, I: Medical Image Analysis. 53, s. 39-46Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
-
UNSUPERVISED MACHINE LEARNING ON BASELINE BRAIN MRI IDENTIFIES MCI SUBGROUP WITH A FASTER DECLINE OVER TWO YEARS COMPARED TO CLASSICAL HIPPOCAMPAL SPARING AD SUBTYPE
Sørensen, L., Pai, A., Nielsen, M., Leverenz, J. B. & Pillai, J. A., 2019, I: Alzheimer's & Dementia. 15, 7, s. P1420 1 s., P4-326.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › peer review
-
Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination
Sørensen, L. & Nielsen, M., 15 maj 2018, I: Journal of Neuroscience Methods. 302, SI, s. 66-74Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
-
HIPPOCAMPAL TEXTURE IN HEALTHY COGNITION AND MILD COGNITIVE IMPAIRMENT: THE IMPACT OF AMYLOID BURDEN AND SEX
Caldwell, J. Z. K., Pai, A., Sørensen, L., Kaylegian, J., Cummings, J. L. & Banks, S. J., 2018, I: Alzheimer's & Dementia. 14, 7, s. P874-P875 P2-426.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
Forskningsdatasæt
-
Computed Tomography Emphysema Database
xfj310, X. (Ophavsmand), Shaker, S. B. (Ophavsmand) & de Bruijne, M. (Ophavsmand), DIKU, Univ. of Copenhagen, 2013
http://image.diku.dk/emphysema_database/
Datasæt