| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 260 | 2021 |
| Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model. H Seim, D Kainmueller, M Heller, H Lamecker, S Zachow, HC Hege VCBM 8, 93-100, 2008 | 140 | 2008 |
| Automatic extraction of mandibular nerve and bone from cone-beam CT data D Kainmueller, H Lamecker, H Seim, M Zinser, S Zachow Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: 12th …, 2009 | 99 | 2009 |
| Model-based auto-segmentation of knee bones and cartilage in MRI data H Seim, D Kainmueller, H Lamecker, M Bindernagel, J Malinowski, ... Proc. MICCAI Workshop Medical Image Analysis for the Clinic, 215-223, 2010 | 97 | 2010 |
| Fast generation of virtual X-ray images for reconstruction of 3D anatomy M Ehlke, H Ramm, H Lamecker, HC Hege, S Zachow IEEE transactions on visualization and computer graphics 19 (12), 2673-2682, 2013 | 88 | 2013 |
| A large scale finite element study of a cementless osseointegrated tibial tray F Galloway, M Kahnt, H Ramm, P Worsley, S Zachow, P Nair, M Taylor Journal of biomechanics 46 (11), 1900-1906, 2013 | 79 | 2013 |
| 3D reconstruction of the human rib cage from 2D projection images using a statistical shape model J Dworzak, H Lamecker, J von Berg, T Klinder, C Lorenz, D Kainmüller, ... International journal of computer assisted radiology and surgery 5, 111-124, 2010 | 77 | 2010 |
| Segmentation of neck lymph nodes in CT datasets with stable 3D mass-spring models: Segmentation of neck lymph nodes J Dornheim, H Seim, B Preim, I Hertel, G Strauss Academic Radiology 14 (11), 1389-1399, 2007 | 57 | 2007 |
| Characterization of the airflow within an average geometry of the healthy human nasal cavity J Brüning, T Hildebrandt, W Heppt, N Schmidt, H Lamecker, A Szengel, ... Scientific reports 10 (1), 3755, 2020 | 52 | 2020 |
| Segmentation of neck lymph nodes in CT datasets with stable 3D mass-spring models J Dornheim, H Seim, B Preim, I Hertel, G Strauss Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006 | 51 | 2006 |
| AutoImplant 2020-first MICCAI challenge on automatic cranial implant design J Li, P Pimentel, A Szengel, M Ehlke, H Lamecker, S Zachow, L Estacio, ... IEEE transactions on medical imaging 40 (9), 2329-2342, 2021 | 46 | 2021 |
| CT-based patient-specific modeling of glenoid rim defects: a feasibility study G Diederichs, H Seim, H Meyer, AS Issever, TM Link, RJ Schröder, ... American Journal of Roentgenology 191 (5), 1406-1411, 2008 | 45 | 2008 |
| Radiological method for measuring patellofemoral tracking and tibiofemoral kinematics before and after total knee replacement GB Sharma, SK Saevarsson, S Amiri, S Montgomery, H Ramm, DD Lichti, ... Bone & Joint Research 1 (10), 263-271, 2012 | 43 | 2012 |
| Method for quantitative assessment of acetabular bone defects G Hettich, RA Schierjott, H Ramm, H Graichen, V Jansson, M Rudert, ... Journal of Orthopaedic Research® 37 (1), 181-189, 2019 | 42 | 2019 |
| Computed tomography analysis of knee pose and geometry before and after total knee arthroplasty KCT Ho, SK Saevarsson, H Ramm, R Lieck, S Zachow, GB Sharma, ... Journal of biomechanics 45 (13), 2215-2221, 2012 | 30 | 2012 |
| Deep learning based centerline-aggregated aortic hemodynamics: an efficient alternative to numerical modeling of hemodynamics P Yevtushenko, L Goubergrits, L Gundelwein, A Setio, H Ramm, ... IEEE Journal of Biomedical and Health Informatics 26 (4), 1815-1825, 2021 | 27 | 2021 |
| Pelvic tilt compensates for increased acetabular anteversion RK Zahn, S Grotjohann, H Ramm, S Zachow, M Putzier, C Perka, S Tohtz International orthopaedics 40, 1571-1575, 2016 | 27 | 2016 |
| An articulated statistical shape model of the human knee M Bindernagel, D Kainmueller, H Seim, H Lamecker, S Zachow, HC Hege Bildverarbeitung für die Medizin 2011: Algorithmen-Systeme-Anwendungen …, 2011 | 24 | 2011 |
| Automated virtual reconstruction of large skull defects using statistical shape models and generative adversarial networks P Pimentel, A Szengel, M Ehlke, H Lamecker, S Zachow, L Estacio, ... Towards the Automatization of Cranial Implant Design in Cranioplasty: First …, 2020 | 22 | 2020 |
| Automatic extraction of anatomical landmarks from medical image data: An evaluation of different methods H Seim, D Kainmueller, M Heller, S Zachow, HC Hege 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 19 | 2009 |
