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Jan Unkelbach
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Journal Articles
- 2023
- [j5]Tianfei Zhou, Liulei Li, Gustav Bredell, Jianwu Li, Jan Unkelbach, Ender Konukoglu:
Volumetric memory network for interactive medical image segmentation. Medical Image Anal. 83: 102599 (2023) - 2017
- [j4]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Personalized Radiotherapy Planning Based on a Computational Tumor Growth Model. IEEE Trans. Medical Imaging 36(3): 815-825 (2017) - 2016
- [j3]Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette:
Sampling image segmentations for uncertainty quantification. Medical Image Anal. 34: 42-51 (2016) - [j2]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
MRI Based Bayesian Personalization of a Tumor Growth Model. IEEE Trans. Medical Imaging 35(10): 2329-2339 (2016) - 2015
- [j1]Thomas Bortfeld, Jagdish Ramakrishnan, John N. Tsitsiklis, Jan Unkelbach:
Optimization of Radiation Therapy Fractionation Schedules in the Presence of Tumor Repopulation. INFORMS J. Comput. 27(4): 788-803 (2015)
Conference and Workshop Papers
- 2015
- [c4]Matthieu Lê, Jan Unkelbach, Nicholas Ayache, Hervé Delingette:
GPSSI: Gaussian Process for Sampling Segmentations of Images. MICCAI (3) 2015: 38-46 - [c3]Matthieu Lê, Hervé Delingette, Jayashree Kalpathy-Cramer, Elizabeth R. Gerstner, Tracy Batchelor, Jan Unkelbach, Nicholas Ayache:
Bayesian Personalization of Brain Tumor Growth Model. MICCAI (2) 2015: 424-432 - 2013
- [c2]Florian Dittmann, Bjoern H. Menze, Ender Konukoglu, Jan Unkelbach:
Use of Diffusion Tensor Images in Glioma Growth Modeling for Radiotherapy Target Delineation. MBIA 2013: 63-73 - 2009
- [c1]Jan Unkelbach, Yi Sun, Jürgen Schmidhuber:
An EM Based Training Algorithm for Recurrent Neural Networks. ICANN (1) 2009: 964-974
Coauthor Index
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