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Niklas Kasenburg
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2010 – 2019
- 2019
- [c7]Lasse Steenbock Vestergaard, Niklas Kasenburg
, Morten Skov Jørgensen:
Implications of Conducting Internet of Things Experimentation in Urban Environments. GIoTS 2019: 1-6 - 2016
- [j1]Niklas Kasenburg
, Matthew G. Liptrot
, Nina Linde Reislev, Silas N. Ørting
, Mads Nielsen, Ellen Garde
, Aasa Feragen
:
Training shortest-path tractography: Automatic learning of spatial priors. NeuroImage 130: 63-76 (2016) - [c6]Niklas Kasenburg
, Sune Darkner
, Ute Hahn
, Matthew G. Liptrot, Aasa Feragen
:
Structural parcellation of the thalamus using shortest-path tractography. ISBI 2016: 559-563 - [c5]Niklas Kasenburg
, Morten Vester Pedersen, Sune Darkner
:
Finding significantly connected voxels based on histograms of connection strengths. Medical Imaging: Image Processing 2016: 97843I - [c4]Niklas Kasenburg
, Matthew G. Liptrot
, Nina Linde Reislev, Ellen Garde, Mads Nielsen, Aasa Feragen
:
Supervised hub-detection for brain connectivity. Medical Imaging: Image Processing 2016: 978409 - 2015
- [c3]Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg
, Karsten M. Borgwardt
:
Significant Subgraph Mining with Multiple Testing Correction. SDM 2015: 37-45 - 2014
- [c2]Michael Schober, Niklas Kasenburg
, Aasa Feragen
, Philipp Hennig, Søren Hauberg
:
Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers. MICCAI (3) 2014: 265-272 - [i1]Mahito Sugiyama, Felipe Llinares-López, Niklas Kasenburg, Karsten M. Borgwardt:
Significant Subgraph Mining with Multiple Testing Correction. CoRR abs/1407.0316 (2014) - 2013
- [c1]Aasa Feragen, Niklas Kasenburg, Jens Petersen, Marleen de Bruijne, Karsten M. Borgwardt:
Scalable kernels for graphs with continuous attributes. NIPS 2013: 216-224
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