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Mikael Agn
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2010 – 2019
- 2019
- [j1]Mikael Agn, Per Munck af Rosenschöld
, Oula Puonti
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning. Medical Image Anal. 54: 220-237 (2019) - [c5]Mikael Agn, Koen Van Leemput
Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. UNSURE/CLIP@MICCAI 2019: 42-51 - 2018
- [i1]Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput:
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning. CoRR abs/1807.10588 (2018) - 2017
- [b1]Mikael Agn:
Computational Modeling of Medical Images of Brain Tumor Patients for Optimized Radiation Therapy Planning. Technical University of Denmark, 2017 - 2016
- [c4]Mikael Agn
A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients. Image Processing 2016: 97841D - 2015
- [c3]Mikael Agn
Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape. Brainles@MICCAI 2015: 168-180 - [c2]Mark Lyksborg, Oula Puonti
An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation. SCIA 2015: 201-211 - 2014
- [c1]Mikael Agn
Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2. ISBI 2014: 955-958
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