Quantitative analysis of pulmonary emphysema using local binary patterns L Sorensen, SB Shaker, M De Bruijne IEEE transactions on medical imaging 29 (2), 559-569, 2010 | 449 | 2010 |
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge EE Bron, M Smits, WM Van Der Flier, H Vrenken, F Barkhof, P Scheltens, ... NeuroImage 111, 562-579, 2015 | 371 | 2015 |
Early detection of Alzheimer's disease using MRI hippocampal texture L Sørensen, C Igel, NL Hansen, M Osler, M Lauritzen, E Rostrup, ... Human Brain Mapping, 2016 | 212 | 2016 |
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 | 178 | 2017 |
A texton-based approach for the classification of lung parenchyma in CT images MJ Gangeh, L Sørensen, SB Shaker, MS Kamel, M De Bruijne, M Loog Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 138 | 2010 |
Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling MM Ghazi, M Nielsen, A Pai, MJ Cardoso, M Modat, S Ourselin, ... Medical image analysis 53, 39-46, 2019 | 132 | 2019 |
Texture-based analysis of COPD: a data-driven approach L Sorensen, M Nielsen, P Lo, H Ashraf, JH Pedersen, M De Bruijne IEEE transactions on medical imaging 31 (1), 70-78, 2011 | 117 | 2011 |
Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination L Sørensen, M Nielsen, Alzheimer's Disease Neuroimaging Initiative Journal of neuroscience methods 302, 66-74, 2018 | 96 | 2018 |
Transfer learning for multicenter classification of chronic obstructive pulmonary disease V Cheplygina, IP Pena, JH Pedersen, DA Lynch, L Sørensen, ... IEEE journal of biomedical and health informatics 22 (5), 1486-1496, 2017 | 93 | 2017 |
Texture classification in lung CT using local binary patterns L Sørensen, SB Shaker, M De Bruijne Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008: 11th …, 2008 | 65 | 2008 |
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, ... arXiv preprint arXiv:2002.03419, 2020 | 61 | 2020 |
Classification of COPD with multiple instance learning V Cheplygina, L Sørensen, DMJ Tax, JH Pedersen, M Loog, M De Bruijne 2014 22nd International Conference on pattern recognition, 1508-1513, 2014 | 56 | 2014 |
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning M Orbes-Arteaga, T Varsavsky, CH Sudre, Z Eaton-Rosen, LJ Haddow, ... Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 45 | 2019 |
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, 1-12, 2014 | 45 | 2014 |
Multi-object tracking of human spermatozoa L Sørensen, J Østergaard, P Johansen, M de Bruijne Medical Imaging 2008: Image Processing 6914, 784-795, 2008 | 37 | 2008 |
the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing. Early detection of Alzheimer’s disease using MRI hippocampal texture L Sørensen, C Igel, N Liv Hansen, M Osler, M Lauritzen, E Rostrup, ... Hum. Brain Mapp 37 (3), 1148-1161, 2016 | 36 | 2016 |
Label stability in multiple instance learning V Cheplygina, L Sørensen, DMJ Tax, M de Bruijne, M Loog Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 35 | 2015 |
Robust parametric modeling of Alzheimer’s disease progression MM Ghazi, M Nielsen, A Pai, M Modat, MJ Cardoso, S Ourselin, ... Neuroimage 225, 117460, 2021 | 32 | 2021 |
Knowledge distillation for semi-supervised domain adaptation M Orbes-Arteainst, J Cardoso, L Sørensen, C Igel, S Ourselin, M Modat, ... OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical …, 2019 | 32* | 2019 |
Image dissimilarity-based quantification of lung disease from CT L Sørensen, M Loog, P Lo, H Ashraf, A Dirksen, RPW Duin, M de Bruijne Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 31 | 2010 |