Fraunhofer Institute for Digital Medicine MEVISPublications
2019
Chlebus G, Meine H, Thoduka S, Abolmaali N, van Ginneken B, Hahn HK, Schenk A (2019) Reducing inter-observer variability and interaction time of MR liver volumetry by combining automatic CNN-based liver segmentation and manual corrections. PLoS ONE 14(5):e0217228
Chlebus G, Abolmaali N, Schenk A, Meine H (2019) Relevance analysis of MRI sequences for automatic liver tumor segmentation. Proceedings of Medical Imaging with Deep Learning (MIDL 2019). pp 1–4
2018
Chlebus G, Meine H, Abolmaali N, Schenk A (2018) Automatic Liver and Tumor Segmentation in Late-Phase MRI Using Fully Convolutional Neural Networks. Proceedings of CURAC. pp 195–200
Schenk A, Chlebus G, Meine H, Thoduka S, Abolmaali N (2018) Deep learning for liver segmentation and volumetry in late phase MRI. Proceedings of European Congress on Radiology (ECR). Springer, S474
Spahr N, Abolmaali N, Kikinis R, Schenk A (2018) Influence of tumor margins in a dosimetry partition model for liver radioembolization. Proceedings of CIRSE Annual Meeting. 189
Spahr N, Thoduka S, Abolmaali N, Schenk A (2018) Investigation of local liver strain derived from deformation fields used for radioembolization planning of the liver. Proceedings of the 32nd International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS). 177
Strehlow J, Spahr N, Rühaak J, Laue H, Abolmaali N, Preusser T, Schenk A (2018) Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver. Int J CARS 13(4):597–606
2017
Chlebus G, Meine H, Moltz JH, Schenk A (2017) Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering. arXiv:1706.00842
Chlebus G, Schenk A, Thoduka S, Abolmaali N, Endo I, Meine H (2017) Comparison of Model Initialization Methods for Liver Segmentation using Statistical Shape Models. International Journal of Computer Assisted Radiology and Surgery. pp 215–216
Spahr N, Schilling P, Thoduka S, Abolmaali N, Schenk A (2017) Predictive SIRT dosimetry based on a territorial model. EJNMMI Physics 4(1):25
Thoduka S, Schilling P, Chlebus C, Schenk A, Abolmaali N (2017) Standardising liver volumetry to optimise selective Internal radiotherapy (SIRT) dosimetry. Proceedings of European Congress on Radiology (ECR). C-2917
Traulsen N, Schilling P, Thoduka S, Abolmaali N, Chlebus G, Strehlow J, Schenk A (2017) SIRT activity and dose calculation using an optimized territorial model for the liver. International Journal of Computer Assisted Radiology and Surgery. pp 177–178
Traulsen N, Schilling P, Thoduka S, Abolmaali N, Schenk A (2017) A territorial model for radioembolization activity and dose calculation. Proceedings of CIRSE Annual Meeting
Traulsen N, Thoduka S, Abolmaali N, Schenk A (2017) Influence of CT reconstruction kernels on dose distribution in liver radioembolization using tissue density estimation. Annual Meeting BMT, Suppl. Biomedical Engineering. 372
2016
Laue H, Persigehl T, Kohlmann P, Giesel FL, Strehlow J, Schenk A (2016) A Software for Quantitative Liver DCE and DWI-MRI to Support Treatment Monitoring in Liver Cancer and Metastasis. Radiological Society of North America. QRR005