Mikael Agn

According to our database, Mikael Agn authored at least 7 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.

Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput

Medical Image Anal., 2019

Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation.

Mikael Agn, Koen Van Leemput

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

2017

Computational Modeling of Medical Images of Brain Tumor Patients for Optimized Radiation Therapy Planning.

Mikael Agn

PhD thesis, 2017

2016

A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients.

Mikael Agn, Ian Law, Per Munck af Rosenschöld, Koen Van Leemput

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015

An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation.

Mark Lyksborg, Oula Puonti, Mikael Agn, Rasmus Larsen

Proceedings of the Image Analysis - 19th Scandinavian Conference, 2015

Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape.

Mikael Agn, Oula Puonti, Per Munck af Rosenschöld, Ian Law, Koen Van Leemput

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

2014

Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2.

Mikael Agn, Claus Svarer, Vibe G. Frokjaer, Douglas N. Greve, Gitte Moos Knudsen, Koen Van Leemput

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014