M. Bieth

Localising Anatomical Structures and Quantifying Tumour Burden in PET/CT Images using Machine Learning

M. Bieth, 2017 .

qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using 68Ga-PSMA11 PET/CT

Bjoern H Menze, Hong Wang, B. Menze, 2019, The Journal of Nuclear Medicine.

Introducing PSMA-Bone-PET-Index for quantitative assessment of osseous tumor burden in prostate cancer

Bjoern H. Menze, Bjoern H Menze, Stephan G. Nekolla, 2017 .

The gravitational force field of the Galaxy measured from the kinematics of RR Lyrae in Gaia

M. Bieth, O. Gerhard, C. Wegg, 2018, Monthly Notices of the Royal Astronomical Society.

Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition

Claus Zimmer, Stefano Trebeschi, Bjoern H. Menze, 2017, GRAIL/MFCA/MICGen@MICCAI.

Exploring New Multimodal Quantitative Imaging Indices for the Assessment of Osseous Tumor Burden in Prostate Cancer Using 68Ga-PSMA PET/CT

Markus Krönke, Bjoern H Menze, Stephan G. Nekolla, 2017, The Journal of Nuclear Medicine.

Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration

Georg Langs, Markus Schwaiger, Bjoern H Menze, 2017, IEEE Transactions on Medical Imaging.