Texture Classification in Lung CT Using Local Binary Patterns. - Lauge Sørensen; Saher B. Shaker; Marleen de Bruijne (MICCAI (1), 2008)

Multi-object tracking of human spermatozoa. - Lauge Sørensen; Jakob Østergaard; Peter Johansen; Marleen de Bruijne (Image Processing, 2008)

Dissimilarity representations in lung parenchyma classification. - Lauge Sørensen; Marleen de Bruijne (Computer-Aided Diagnosis, 2009)

Learning COPD Sensitive Filters in Pulmonary CT. - Lauge Sørensen; Pechin Lo; Haseem Ashraf; Jon Sporring; Mads Nielsen; Marleen de Bruijne (MICCAI (1), 2009)

Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung. - Mehrdad J. Gangeh; Lauge Sørensen; Saher B. Shaker; Mohamed S. Kamel; Marleen de Bruijne (MCV, 2010)

A Texton-Based Approach for the Classification of Lung Parenchyma in CT Images. - Mehrdad J. Gangeh; Lauge Sørensen; Saher B. Shaker; Mohamed S. Kamel; Marleen de Bruijne; Marco Loog (MICCAI (3), 2010)

Image Dissimilarity-Based Quantification of Lung Disease from CT. - Lauge Sørensen; Marco Loog; Pechin Lo; Haseem Ashraf; Asger Dirksen; Robert P. W. Duin; Marleen de Bruijne (MICCAI (1), 2010)

Dissimilarity-Based Multiple Instance Learning. - Lauge Sørensen; Marco Loog; David M. J. Tax; Wan-Jui Lee; Marleen de Bruijne; Robert P. W. Duin (SSPR/SPR, 2010)

Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns. - Lauge Sørensen; Saher B. Shaker; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2010)

Dissimilarity-Based Classification of Anatomical Tree Structures. - Lauge Sørensen; Pechin Lo; Asger Dirksen; Jens Petersen; Marleen de Bruijne (IPMI, 2011)

Towards exaggerated emphysema stereotypes. - C. Chen; Lauge Sørensen; François Lauze; Christian Igel; Marco Loog; Aasa Feragen; Marleen de Bruijne; Mads Nielsen (Computer-Aided Diagnosis, 2012)

Texture-Based Analysis of COPD: A Data-Driven Approach. - Lauge Sørensen; Mads Nielsen; Pechin Lo; Haseem Ashraf; Jesper Johannes Holst Pedersen; Marleen de Bruijne (IEEE Trans. Medical Imaging, 2012)

Cube propagation for focal brain atrophy estimation. - 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 (ISBI, 2013)

Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI. - Lene Lillemark; Lauge Sørensen; Peter Mysling; Akshay Pai; Erik B. Dam; Mads Nielsen (Image Processing, 2013)

Classification of COPD with Multiple Instance Learning. - Veronika Cheplygina; Lauge Sørensen; David M. J. Tax; Jesper Johannes Holst Pedersen; Marco Loog; Marleen de Bruijne (ICPR, 2014)

Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. - Akshay Pai; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (WBIR, 2014)

Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI. - Lene Lillemark; Lauge Sørensen; Akshay Pai; Erik B. Dam; Mads Nielsen (BMC Medical Imaging, 2014)

Label Stability in Multiple Instance Learning. - Veronika Cheplygina; Lauge Sørensen; David M. J. Tax; Marleen de Bruijne; Marco Loog (MICCAI (1), 2015)

Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (Image Processing, 2015)

A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. - Akshay Pai; Stefan Sommer; Lars Lau Rakêt; Line Kühnel; Sune Darkner; Lauge Sørensen; Mads Nielsen (MCV/BAMBI@MICCAI, 2016)

Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. - Mateusz Michalkiewicz; Akshay Pai; Kelvin K. Leung; Stefan Sommer; Sune Darkner; Lauge Sørensen; Jon Sporring; Mads Nielsen (Image Processing, 2016)

Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis Functions. - Akshay Pai; Stefan Sommer; Lauge Sørensen; Sune Darkner; Jon Sporring; Mads Nielsen (IEEE Trans. Medical Imaging, 2016)

Transfer learning for multi-center classification of chronic obstructive pulmonary disease. - Veronika Cheplygina; Isabel Pino Peña; Jesper Johannes Holst Pedersen; David A. Lynch; Lauge Sørensen; Marleen de Bruijne (CoRR, 2017)

Robust training of recurrent neural networks to handle missing data for disease progression modeling. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; M. Jorge Cardoso; Marc Modat; Sébastien Ourselin; Lauge Sørensen (CoRR, 2018)

Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. - Mauricio Orbes-Arteaga; M. Jorge Cardoso; Lauge Sørensen; Marc Modat; Sébastien Ourselin; Mads Nielsen; Akshay Pai (CoRR, 2018)

Transfer Learning for Multicenter Classification of Chronic Obstructive Pulmonary Disease. - Veronika Cheplygina; Isabel Pino Peña; Jesper Holst Pedersen; David A. Lynch; Lauge Sørensen; Marleen de Bruijne (IEEE J. Biomed. Health Informatics, 2018)

On the Initialization of Long Short-Term Memory Networks. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; Marc Modat; M. Jorge Cardoso; Sébastien Ourselin; Lauge Sørensen (ICONIP (1), 2019)

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. - 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 (DART/MIL3ID@MICCAI, 2019)

Knowledge Distillation for Semi-supervised Domain Adaptation. - Mauricio Orbes-Arteaga; M. Jorge Cardoso; Lauge Sørensen; Christian Igel; Sébastien Ourselin; Marc Modat; Mads Nielsen; Akshay Pai (OR/MLCN@MICCAI, 2019)

PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. - Mauricio Orbes-Arteaga; Lauge Sørensen; Manuel Jorge Cardoso; Marc Modat; Sébastien Ourselin; Stefan Sommer; Mads Nielsen; Christian Igel; Akshay Pai (Image Processing, 2019)

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; M. Jorge Cardoso; Marc Modat; Sébastien Ourselin; Lauge Sørensen (Medical Image Anal., 2019)

Lesion-wise evaluation for effective performance monitoring of small object segmentation. - 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 (Image Processing, 2021)

Robust parametric modeling of Alzheimer's disease progression. - Mostafa Mehdipour-Ghazi; Mads Nielsen; Akshay Pai; Marc Modat; M. Jorge Cardoso; Sébastien Ourselin; Lauge Sørensen (NeuroImage, 2021)

Augmentation based unsupervised domain adaptation. - Mauricio Orbes-Arteaga; Thomas Varsavsky; Lauge Sørensen; Mads Nielsen; Akshay Pai; Sébastien Ourselin; Marc Modat; M. Jorge Cardoso (CoRR, 2022)

CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data. - Mostafa Mehdipour-Ghazi; Lauge Sørensen; Sébastien Ourselin; Mads Nielsen (IEEE Trans. Neural Networks Learn. Syst., 2024)