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 (ISBI, 2014)

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 (Brainles@MICCAI, 2015)

An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation. - Mark Lyksborg; Oula Puonti; Mikael Agn; Rasmus Larsen 001 (SCIA, 2015)

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 (Image Processing, 2016)

Computational Modeling of Medical Images of Brain Tumor Patients for Optimized Radiation Therapy Planning. - Mikael Agn (2017)

Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation. - Mikael Agn; Koen Van Leemput (UNSURE/CLIP@MICCAI, 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)