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2020 – today
- 2024
[j8]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): 792-802 (2024)- 2022
- [i14]Mauricio Orbes-Arteaga, Thomas Varsavsky, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, M. Jorge Cardoso:
Augmentation based unsupervised domain adaptation. CoRR abs/2202.11486 (2022) - 2021
- [j7]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: 117460 (2021) - [c23]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. Image Processing 2021 - [i13]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 abs/2104.03739 (2021)
2010 – 2019
- 2019
- [j6]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: 39-46 (2019) - [c22]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: 275-286 - [c21]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: 54-62 - [c20]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: 68-76 - [c19]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. Image Processing 2019: 109490S - [i12]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 abs/1903.07173 (2019) - [i11]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 abs/1908.05338 (2019) - [i10]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 abs/1908.05959 (2019) - [i9]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 abs/1908.07355 (2019) - [i8]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 abs/1912.10454 (2019) - 2018
- [j5]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): 1486-1496 (2018) - [i7]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 abs/1808.05500 (2018) - [i6]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 abs/1808.06519 (2018) - [i5]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 abs/1810.01928 (2018) - 2017
- [i4]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 abs/1701.05013 (2017) - [i3]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Jesper Holst Pedersen, Marco Loog, Marleen de Bruijne:
Classification of COPD with Multiple Instance Learning. CoRR abs/1703.04980 (2017) - [i2]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog:
Label Stability in Multiple Instance Learning. CoRR abs/1703.04986 (2017) - [i1]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 abs/1705.00432 (2017) - 2016
- [j4]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): 1369-1380 (2016) - [c18]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: 151-159 - [c17]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. Image Processing 2016: 978406 - 2015
- [c16]Veronika Cheplygina, Lauge Sørensen, David M. J. Tax, Marleen de Bruijne, Marco Loog:
Label Stability in Multiple Instance Learning. MICCAI (1) 2015: 539-546 - [c15]Akshay Pai, Stefan Sommer, Lauge Sørensen, Sune Darkner, Jon Sporring, Mads Nielsen:
Image registration using stationary velocity fields parameterized by norm-minimizing Wendland kernel. Image Processing 2015: 941335 - 2014
- [j3]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: 21 (2014) - [c14]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: 1508-1513 - [c13]Akshay Pai, Stefan Sommer, Sune Darkner, Lauge Sørensen, Jon Sporring, Mads Nielsen:
Stepwise Inverse Consistent Euler's Scheme for Diffeomorphic Image Registration. WBIR 2014: 223-230 - 2013
- [c12]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: 402-405 - [c11]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. Image Processing 2013: 866926 - 2012
- [j2]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): 70-78 (2012) - [c10]C. Chen, Lauge Sørensen, François Lauze, Christian Igel, Marco Loog, Aasa Feragen, Marleen de Bruijne, Mads Nielsen:
Towards exaggerated emphysema stereotypes. Computer-Aided Diagnosis 2012: 83150Q - 2011
- [c9]Lauge Sørensen, Pechin Lo, Asger Dirksen, Jens Petersen, Marleen de Bruijne:
Dissimilarity-Based Classification of Anatomical Tree Structures. IPMI 2011: 475-485 - 2010
- [j1]Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne:
Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns. IEEE Trans. Medical Imaging 29(2): 559-569 (2010) - [c8]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: 37-44 - [c7]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: 153-163 - [c6]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: 595-602 - [c5]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: 129-138
2000 – 2009
- 2009
- [c4]Lauge Sørensen, Marleen de Bruijne:
Dissimilarity representations in lung parenchyma classification. Computer-Aided Diagnosis 2009: 72602Z - [c3]Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, Marleen de Bruijne:
Learning COPD Sensitive Filters in Pulmonary CT. MICCAI (1) 2009: 699-706 - 2008
- [c2]Lauge Sørensen, Saher B. Shaker, Marleen de Bruijne:
Texture Classification in Lung CT Using Local Binary Patterns. MICCAI (1) 2008: 934-941 - [c1]Lauge Sørensen, Jakob Østergaard, Peter Johansen, Marleen de Bruijne:
Multi-object tracking of human spermatozoa. Image Processing 2008: 69142C
Coauthor Index
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last updated on 2025-01-20 22:52 CET by the dblp team
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