Mikael Agn - researchr alias

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Viewing Publication 1 - 7 from 7

2019

Fast Nonparametric Mutual-Information-based Registration and Uncertainty EstimationMikael Agn, Koen Van Leemput. miccai 2019: 42-51 [doi]

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planningMikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput. mia, 54:220-237, 2019. [doi]

2017

Computational Modeling of Medical Images of Brain Tumor Patients for Optimized Radiation Therapy PlanningMikael Agn. PhD thesis, Technical University of Denmark, 2017. [doi]

2016

A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patientsMikael Agn, Ian Law, Per Munck af Rosenschöld, Koen Van Leemput. miip 2016: [doi]

2015

Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor ShapeMikael Agn, Oula Puonti, Per Munck af Rosenschöld, Ian Law, Koen Van Leemput. miccai 2016: 168-180 [doi]

An Ensemble of 2D Convolutional Neural Networks for Tumor SegmentationMark Lyksborg, Oula Puonti, Mikael Agn, Rasmus Larsen. scia 2015: 201-211 [doi]

2014

Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2Mikael Agn, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Gitte Moos Knudsen, Koen Van Leemput. isbi 2014: 955-958 [doi]

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