| Exploratory prospective trial of hypoxia-specific PET imaging during radiochemotherapy in patients with locally advanced head-and-neck cancer D Zips, K Zöphel, N Abolmaali, R Perrin, A Abramyuk, R Haase, S Appold, ... Radiotherapy and Oncology 105 (1), 21-28, 2012 | 224 | 2012 |
| Identification of patient benefit from proton therapy for advanced head and neck cancer patients based on individual and subgroup normal tissue complication probability analysis A Jakobi, A Bandurska-Luque, K Stützer, R Haase, S Löck, LJ Wack, ... International Journal of Radiation Oncology* Biology* Physics 92 (5), 1165-1174, 2015 | 63 | 2015 |
| 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, S Appold, ... Acta Oncologica 54 (9), 1355-1363, 2015 | 43 | 2015 |
| Two or four hour [18F] FMISO-PET in HNSCC N Abolmaali, R Haase, A Koch, D Zips, J Steinbach, M Baumann, ... Nuklearmedizin 50 (01), 22-27, 2011 | 40 | 2011 |
| Precise image-guided irradiation of small animals: a flexible non-profit platform F Tillner, P Thute, S Löck, A Dietrich, A Fursov, R Haase, M Lukas, ... Physics in Medicine & Biology 61 (8), 3084, 2016 | 27 | 2016 |
| NTCP reduction for advanced head and neck cancer patients using proton therapy for complete or sequential boost treatment versus photon therapy A Jakobi, K Stützer, A Bandurska-Luque, S Löck, R Haase, LJ Wack, ... Acta Oncologica 54 (9), 1658-1664, 2015 | 27 | 2015 |
| 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, A Bandurska-Luque, S Appold, ... Radiotherapy and Oncology 122 (3), 437-444, 2017 | 9 | 2017 |
| Evaluation of a deformable registration algorithm for subsequent lung computed tomography imaging during radiochemotherapy K Stützer, R Haase, F Lohaus, S Barczyk, F Exner, S Löck, J Rühaak, ... Medical physics 43 (9), 5028-5039, 2016 | 8 | 2016 |
| Swarm intelligence for medical volume segmentation: the contribution of self-reproduction R Haase, HJ Böhme, D Zips, N Abolmaali Annual Conference on Artificial Intelligence, 111-121, 2011 | 5 | 2011 |
| Star-convex polyhedra for 3d object detection and segmentation in microscopy M Weigert, U Schmidt, R Haase, K Sugawara, G Myers The IEEE Winter Conference on Applications of Computer Vision, 3666-3673, 2020 | 3 | 2020 |
| 73 Characterization of deformation vector fields for the registration of dose distributions in adaptive treatment planning and sequential boost protocols K Stützer, A Jakobi, R Haase, A Bandurska-Luque, S Löck, M Krause, ... Joint Conference of the SSRMP, DGMP, ÖGMP, 140, 2014 | 3 | 2014 |
| A new segmentation algorithm for low contrast positron emission tomography based on ant colony optimization R Haase, V Hietschold, M Andreeff, HJ Böhme, N Abolmaali Crossing Borders within the ABC: Automation, Biomedical Engineering and …, 2010 | 3 | 2010 |
| 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, K Zöphel, N Abolmaali, ... Radiotherapy and Oncology 130, 97-103, 2019 | 2 | 2019 |
| Optimisation and Validation of a Swarm Intelligence Based Segmentation Algorithm for Low Contrast Positron Emission Tomography R Haase Technische Universität Dresden, Medizinische Fakultät, 2014 | 2 | 2014 |
| Self-reproduction versus transition rules in ant colonies for medical volume segmentation R Haase, HJ Böhme, R Perrin, K Zöphel, N Abolmaali International Conference on Swarm Intelligence, 316-323, 2012 | 2 | 2012 |
| CLIJ: GPU-accelerated image processing for everyone R Haase, LA Royer, P Steinbach, D Schmidt, A Dibrov, U Schmidt, ... Nature Methods 17 (1), 5-6, 2020 | 1 | 2020 |
| 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, K Zöphel, R Perrin, ... Clinical and translational radiation oncology 15, 108-112, 2019 | 1 | 2019 |
| CLIJ: Enabling GPU-accelerated image processing in Fiji R Haase, LA Royer, P Steinbach, D Schmidt, A Dibrov, U Schmidt, ... bioRxiv, 660704, 2019 | 1 | 2019 |
| Physical correction model for automatic correction of intensity non-uniformity in magnetic resonance imaging S Leger, S Löck, V Hietschold, R Haase, HJ Böhme, N Abolmaali Physics and Imaging in Radiation Oncology 4, 32-38, 2017 | 1 | 2017 |
| High-precision image-guided proton irradiation of mouse brain sub-volumes T Suckert, J Müller, E Beyreuther, B Azadegan, A Brüggemann, R Bütof, ... Radiotherapy and Oncology 146, 205-212, 2020 | | 2020 |
