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ORCIDLars Lau Rakêt
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2020 – today
- 2023
[j8]Lars Lau Rakêt, Paula Petcu
, Katarzyna Wac, Jason Hassenstab:
Editorial: Digital brain health. Frontiers Digit. Health 5 (2023)- 2020
- [j7]Lars Lau Rakêt:
Statistical Disease Progression Modeling in Alzheimer Disease. Frontiers Big Data 3: 24 (2020)
2010 – 2019
- 2017
- [j6]Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Rakêt:
Most Likely Separation of Intensity and Warping Effects in Image Registration. SIAM J. Imaging Sci. 10(2): 578-601 (2017) - [i2]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
- [j5]Lars Lau Rakêt, Britta Grimme, Gregor Schöner, Christian Igel, Bo Markussen:
Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement. PLoS Comput. Biol. 12(9) (2016) - [c8]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 - [i1]Line Kühnel, Stefan Sommer, Akshay Pai, Lars Lau Rakêt:
Most Likely Separation of Intensity and Warping Effects in Image Registration. CoRR abs/1604.05027 (2016) - 2014
- [j4]Lars Lau Rakêt, Bo Markussen:
Approximate inference for spatial functional data on massively parallel processors. Comput. Stat. Data Anal. 72: 227-240 (2014) - [j3]Lars Lau Rakêt, Stefan Sommer, Bo Markussen:
A nonlinear mixed-effects model for simultaneous smoothing and registration of functional data. Pattern Recognit. Lett. 38: 1-7 (2014) - [j2]Huynh Van Luong, Lars Lau Rakêt, Søren Forchhammer:
Re-estimation of Motion and Reconstruction for Distributed Video Coding. IEEE Trans. Image Process. 23(7): 2804-2819 (2014) - [c7]Matteo Salmistraro, Lars Lau Rakêt, Catarina Brites, João Ascenso, Søren Forchhammer:
Joint disparity and motion estimation using optical flow for multiview Distributed Video Coding. EUSIPCO 2014: 286-290 - 2013
- [c6]Matteo Salmistraro, Marco Zamarin, Lars Lau Rakêt, Søren Forchhammer:
Distributed multi-hypothesis coding of depth maps using texture motion information and optical flow. ICASSP 2013: 1685-1689 - [c5]Matteo Salmistraro, Lars Lau Rakêt, Marco Zamarin, Anna Ukhanova, Søren Forchhammer:
Texture side information generation for distributed coding of video-plus-depth. ICIP 2013: 1699-1703 - 2012
- [j1]Huynh Van Luong, Lars Lau Rakêt, Xin Huang, Søren Forchhammer:
Side Information and Noise Learning for Distributed Video Coding Using Optical Flow and Clustering. IEEE Trans. Image Process. 21(12): 4782-4796 (2012) - [c4]Lars Lau Rakêt, Mads Nielsen:
A splitting algorithm for directional regularization and sparsification. ICPR 2012: 3094-3098 - [c3]Lars Lau Rakêt, Lars Roholm, Andrés Bruhn, Joachim Weickert:
Motion Compensated Frame Interpolation with a Symmetric Optical Flow Constraint. ISVC (1) 2012: 447-457 - 2011
- [c2]Lars Lau Rakêt, Lars Roholm, Mads Nielsen, François Lauze:
TV-L1 Optical Flow for Vector Valued Images. EMMCVPR 2011: 329-343 - [c1]Xin Huang, Lars Lau Rakêt, Huynh Van Luong, Mads Nielsen, François Lauze, Søren Forchhammer:
Multi-hypothesis transform domain Wyner-Ziv video coding including optical flow. MMSP 2011: 1-6
Coauthor Index
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