| A novel bone suppression method that improves lung nodule detection: Suppressing dedicated bone shadows in radiographs while preserving the remaining signal J von Berg, S Young, H Carolus, R Wolz, A Saalbach, A Hidalgo, ... International journal of computer assisted radiology and surgery 11, 641-655, 2016 | 28 | 2016 |
| Discriminative Generalized Hough transform for localization of joints in the lower extremities H Ruppertshofen, C Lorenz, S Schmidt, P Beyerlein, Z Salah, G Rose, ... Computer Science-Research and Development 26, 97-105, 2011 | 24 | 2011 |
| Registration of medical images S Kabus, H Ruppertshofen, H Schmitt US Patent 9,536,307, 2017 | 23 | 2017 |
| Discriminative generalized Hough transform for object localization in medical images H Ruppertshofen, C Lorenz, G Rose, H Schramm International journal of computer assisted radiology and surgery 8, 593-606, 2013 | 20 | 2013 |
| Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks AI Iuga, H Carolus, AJ Höink, T Brosch, T Klinder, D Maintz, T Persigehl, ... BMC Medical Imaging 21, 1-12, 2021 | 19 | 2021 |
| Fully Automatic Model Creation for Object Localization utilizing the Generalized Hough Transform. H Ruppertshofen, C Lorenz, P Beyerlein, Z Salah, G Rose, H Schramm Bildverarbeitung für die Medizin, 281-285, 2010 | 18 | 2010 |
| Automatic modeling of anatomical variability for object localization in medical images H Ruppertshofen BoD–Books on Demand, 2013 | 16 | 2013 |
| Multi-level approach for the discriminative generalized hough transform H Ruppertshofen, D Künne, C Lorenz, S Schmidt, P Beyerlein, Z Salah, ... CURAC 2011: 10. Jahrestagung der Deutschen Gesellschaft für Computer-und …, 2011 | 15 | 2011 |
| Comparing nonrigid registration techniques for motion corrected MR prostate diffusion imaging C Buerger, J Sénégas, S Kabus, H Carolus, H Schulz, H Agarwal, ... Medical physics 42 (1), 69-80, 2015 | 12 | 2015 |
| Pie cutter E Zuker US Patent App. 10/210,310, 2004 | 11 | 2004 |
| Automated mapping and N-Staging of thoracic lymph nodes in contrast-enhanced CT scans of the chest using a fully convolutional neural network AI Iuga, T Lossau, LL Caldeira, M Rinneburger, S Lennartz, NG Hokamp, ... European Journal of Radiology 139, 109718, 2021 | 10 | 2021 |
| Decomposing the bony thorax in X-ray images J von Berg, C Levrier, H Carolus, S Young, A Saalbach, P Laurent, ... 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1068-1071, 2016 | 10 | 2016 |
| Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study P Fervers, F Fervers, A Jaiswal, M Rinneburger, M Weisthoff, ... Quantitative Imaging in Medicine and Surgery 12 (11), 5156, 2022 | 8 | 2022 |
| Picture archiving system with text-image linking based on text recognition HR Carolus, TDDS Mabotuwana, Y Qian, J Weese US Patent 10,210,310, 2019 | 8 | 2019 |
| Bone age classification using the discriminative generalized hough transform M Brunk, H Ruppertshofen, S Schmidt, P Beyerlein, H Schramm Bildverarbeitung für die Medizin 2011: Algorithmen-Systeme-Anwendungen …, 2011 | 8 | 2011 |
| Device and method for determining image quality of a radiogram image J Von Berg, S Young, H Carolus US Patent 9,918,691, 2018 | 7 | 2018 |
| Bone age assessment using the classifying generalized hough transform F Hahmann, I Berger, H Ruppertshofen, T Deserno, H Schramm German Conference on Pattern Recognition, 313-322, 2013 | 7 | 2013 |
| Model interpolation for eye localization using the Discriminative Generalized Hough Transform F Hahmann, H Ruppertshofen, G Böer, H Schramm 2012 BIOSIG-Proceedings of the International Conference of Biometrics …, 2012 | 7 | 2012 |
| Eye localization using the discriminative generalized hough transform F Hahmann, H Ruppertshofen, G Böer, R Stannarius, H Schramm Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012 | 6 | 2012 |
| Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks H Carolus, AI Iuga, T Brosch, R Wiemker, F Thiele, A Höink, D Maintz, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 311-317, 2020 | 5 | 2020 |
