This repository contains a notebook for plotting usage-statistics of the Geisterr software. The software itself was never published in a Journal, nor its source code. Scientific results produced using the software are published in:

• Optimisation and Validation of a Swarm Intelligence Based Segmentation Algorithm for Low Contrast Positron Emission Tomography. R Haase. Dissertation, TU Dresden, 2014

• Spatial distribution of FMISO in head and neck squamous cell carcinomas during radio-chemotherapy and its correlation to pattern of failure. S Zschaeck, R Haase, N Abolmaali, R Perrin, K Stützer et al - Acta Oncologica, 2015

• Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy. K Stützer, R Haase, F Lohaus, S Barczyk, F Exner et al - Medical Physics, 2016

• On the Reliability of Automatic Volume Delineation in Low-Contrast [18 F] FMISO-PET Imaging. R Haase, M Andreeff, N Abolmaali - Molecular Radio-Oncology, 2016

• FDG uptake in normal tissues assessed by PET during treatment has prognostic value for treatment results in head and neck squamous cell carcinomas undergoing radiochemotherapy. S Zschaeck, S Löck, S Leger, R Haase et al - Radiotherapy and Oncology, 2017

• The prognostic value of FMISO-PET-based synchronous tumor and lymph node hypoxia outperforms that of tumor hypoxia only in patients with advanced stage HNSSC-secondary analysis of Dresden FMISO trail. A Bandurska-Luque, S Loeck, R Haase, C Richter et al - ONCOLOGY RESEARCH AND TREATMENT, 2018

• FMISO-PET-based lymph node hypoxia adds to the prognostic value of tumor only hypoxia in HNSCC patients. A Bandurska-Luque, S Löck, R Haase, C Richter et al - Radiotherapy and Oncology, 2019

• Correlation between FMISO-PET based hypoxia in the primary tumour and in lymph node metastases in locally advanced HNSCC patients. A Bandurska-Luque, S Löck, R Haase, C Richter… - Clinical and translational radiation oncology, 2019