Mikael Agn

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 4

Top Topics

Therapy Planning

Tumor Segmentation

Nonparametric Regression

Low Grade Gliomas

Top Venues

Brainles@MICCAI

UNSURE/CLIP@MICCAI

Publications

Mikael Agn, Koen Van Leemput
Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. UNSURE/CLIP@MICCAI (2019)
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. Medical Image Anal. 54 (2019)
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 (2018)
Mikael Agn, Ian Law, Per Munck af Rosenschöld, Koen Van Leemput
A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients. Medical Imaging: Image Processing (2016)
Mark Lyksborg, Oula Puonti, Mikael Agn, Rasmus Larsen
An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation. SCIA (2015)
Mikael Agn, Oula Puonti, Per Munck af Rosenschöld, Ian Law, Koen Van Leemput
Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape. Brainles@MICCAI (2015)
Mikael Agn, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Gitte Moos Knudsen, Koen Van Leemput
Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2. ISBI (2014)