Lauge Sørensen

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 28

Top Topics

Diffeomorphic Image Registration

Multiple Instance

Recurrent Neural Networks

Disease Progression

Top Venues

Medical Imaging: Image Processing

IEEE J. Biomed. Health Informatics

Publications

Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso
Augmentation based unsupervised domain adaptation. CoRR (2022)
Mostafa Mehdipour-Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data. CoRR (2021)
Irme Groothuis, Carole H. Sudre, Silvia Ingala, Josephine Barnes, Juan Domingo Gispert, Lauge Sørensen, Akshay Pai, Mads Nielsen, Sébastien Ourselin, M. Jorge Cardoso, Frederik Barkhof, Marc Modat
Lesion-wise evaluation for effective performance monitoring of small object segmentation. Medical Imaging: Image Processing (2021)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Robust parametric modeling of Alzheimer's disease progression. NeuroImage 225 (2021)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, Manuel Jorge Cardoso
Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning. CoRR (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
Robust parametric modeling of Alzheimer's disease progression. CoRR (2019)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge Distillation for Semi-supervised Domain Adaptation. OR/MLCN@MICCAI (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
On the Initialization of Long Short-Term Memory Networks. CoRR (2019)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Christian Igel, Sébastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai
Knowledge distillation for semi-supervised domain adaptation. CoRR (2019)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Medical Imaging: Image Processing (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. Medical Image Anal. 53 (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling. CoRR (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin, Lauge Sørensen
On the Initialization of Long Short-Term Memory Networks. ICONIP (1) (2019)
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso
Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. DART/MIL3ID@MICCAI (2019)
Mostafa Mehdipour-Ghazi, Mads Nielsen, Akshay Pai, M. Jorge Cardoso, Marc Modat, Sébastien Ourselin, Lauge Sørensen
Robust training of recurrent neural networks to handle missing data for disease progression modeling. CoRR (2018)
Veronika Cheplygina, Isabel Pino Peña, Jesper Holst Pedersen, David A. Lynch, Lauge Sørensen, Marleen de Bruijne
Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease. IEEE J. Biomed. Health Informatics 22 (5) (2018)
Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai
PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. CoRR (2018)
Mauricio Orbes-Arteaga, M. Jorge Cardoso, Lauge Sørensen, Marc Modat, Sébastien Ourselin, Mads Nielsen, Akshay Pai
Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. CoRR (2018)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
Label Stability in Multiple Instance Learning. CoRR (2017)
Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. CoRR (2017)
Veronika Cheplygina, Isabel Pino Peña, Jesper Johannes Holst Pedersen, David A. Lynch, Lauge Sørensen, Marleen de Bruijne
Transfer learning for multi-center classification of chronic obstructive pulmonary disease. CoRR (2017)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen, Marco Loog, Marleen de Bruijne
Classification of COPD with Multiple Instance Learning. CoRR (2017)
Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. MCV/BAMBI@MICCAI (2016)
Mateusz Michalkiewicz, Akshay Pai, Kelvin K. Leung, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. Medical Imaging: Image Processing (2016)
Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. IEEE Trans. Medical Imaging 35 (6) (2016)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog
Label Stability in Multiple Instance Learning. MICCAI (1) (2015)
Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Medical Imaging: Image Processing (2015)
Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR (2014)
Lene Lillemark, Lauge Sørensen, Akshay Pai, Erik B. Dam, Mads Nielsen
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. BMC Medical Imaging 14 (2014)
Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Johannes Holst Pedersen, Marco Loog, Marleen de Bruijne
Classification of COPD with Multiple Instance Learning. ICPR (2014)
Akshay Pai, Lauge Sørensen, Sune Darkner, Peter Mysling, Dan R. Jørgensen, Erik B. Dam, Martin Lillholm, Joonmi Oh, Gennan Chen, Joyce Suhy, Jon Sporring, Mads Nielsen
Cube propagation for focal brain atrophy estimation. ISBI (2013)
Lene Lillemark, Lauge Sørensen, Peter Mysling, Akshay Pai, Erik B. Dam, Mads Nielsen
Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. Medical Imaging: Image Processing (2013)
Lauge Sørensen, Mads Nielsen, Pechin Lo, Haseem Ashraf, Jesper Johannes Holst Pedersen, Marleen de Bruijne
Texture-Based Analysis of COPD: A Data-Driven Approach. IEEE Trans. Medical Imaging 31 (1) (2012)
C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen
Towards exaggerated emphysema stereotypes. Medical Imaging: Computer-Aided Diagnosis (2012)
Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne
Dissimilarity-Based Classification of Anatomical Tree Structures. IPMI (2011)
Lauge Sørensen, Marco Loog, Pechin Lo, Haseem Ashraf, Asger Dirksen, Robert P. W. Duin, Marleen de Bruijne
Image Dissimilarity-Based Quantification of Lung Disease from CT. MICCAI (1) (2010)
Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne, Marco Loog
A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. MICCAI (3) (2010)
Lauge Sørensen, Marco Loog, David M. J. Tax, Wan-Jui Lee, Marleen de Bruijne, Robert P. W. Duin
Dissimilarity-Based Multiple Instance Learning. SSPR/SPR (2010)
Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns. IEEE Trans. Medical Imaging 29 (2) (2010)
Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne
Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung. MCV (2010)
Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, Marleen de Bruijne
Learning COPD Sensitive Filters in Pulmonary CT. MICCAI (1) (2009)
Lauge Sørensen, Marleen de Bruijne
Dissimilarity representations in lung parenchyma classification. Medical Imaging: Computer-Aided Diagnosis (2009)
Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne
Texture Classification in Lung CT Using Local Binary Patterns. MICCAI (1) (2008)
Lauge Sørensen, Jakob Østergaard, Peter Johansen, Marleen de Bruijne
Multi-object tracking of human spermatozoa. Medical Imaging: Image Processing (2008)