Lauge Sørensen

45 papers B 7Journal 22Unranked 16

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