| Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 5217, 2018 | 341 | 2018 |
| Tilt and rotation correction of acetabular version on pelvic radiographs M Tannast, G Zheng, C Anderegg, K Burckhardt, F Langlotz, R Ganz, ... Clinical Orthopaedics and Related Research® 438, 182-190, 2005 | 340 | 2005 |
| What are the radiographic reference values for acetabular under-and overcoverage? M Tannast, MS Hanke, G Zheng, SD Steppacher, KA Siebenrock Clinical Orthopaedics and Related Research® 473, 1234-1246, 2015 | 326 | 2015 |
| Standardized assessment of automatic segmentation of white matter hyperintensities and results of the WMH segmentation challenge HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ... IEEE transactions on medical imaging 38 (11), 2556-2568, 2019 | 322 | 2019 |
| Crowd counting with deep negative correlation learning Z Shi, L Zhang, Y Liu, X Cao, Y Ye, MM Cheng, G Zheng Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 316 | 2018 |
| Evaluation of algorithms for multi-modality whole heart segmentation: an open-access grand challenge X Zhuang, L Li, C Payer, D Štern, M Urschler, MP Heinrich, J Oster, ... Medical image analysis 58, 101537, 2019 | 306 | 2019 |
| A 2D/3D correspondence building method for reconstruction of a patient-specific 3D bone surface model using point distribution models and calibrated X-ray images G Zheng, S Gollmer, S Schumann, X Dong, T Feilkas, MAG Ballester Medical image analysis 13 (6), 883-899, 2009 | 210 | 2009 |
| Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge CW Wang, CT Huang, MC Hsieh, CH Li, SW Chang, WC Li, R Vandaele, ... IEEE transactions on medical imaging 34 (9), 1890-1900, 2015 | 208 | 2015 |
| Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE transactions on medical imaging 38 (9), 2219-2230, 2019 | 203 | 2019 |
| Method for establishing a three-dimensional representation of a bone from image data G Zheng, LP Nolte US Patent 7,117,027, 2006 | 203 | 2006 |
| Navigated open-wedge high tibial osteotomy: advantages and disadvantages compared to the conventional technique in a cadaver study S Hankemeier, T Hufner, G Wang, D Kendoff, J Zeichen, G Zheng, ... Knee Surgery, Sports Traumatology, Arthroscopy 14, 917-921, 2006 | 171 | 2006 |
| Statistical deformable bone models for robust 3D surface extrapolation from sparse data KT Rajamani, MA Styner, H Talib, G Zheng, LP Nolte, MAG Ballester Medical image analysis 11 (2), 99-109, 2007 | 169 | 2007 |
| 3D U-net with multi-level deep supervision: fully automatic segmentation of proximal femur in 3D MR images G Zeng, X Yang, J Li, L Yu, PA Heng, G Zheng Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 166 | 2017 |
| Radiographic analysis of femoroacetabular impingement with Hip2norm—reliable and validated M Tannast, S Mistry, SD Steppacher, S Reichenbach, F Langlotz, ... Journal of orthopaedic research 26 (9), 1199-1205, 2008 | 161 | 2008 |
| Computer-assisted orthopedic surgery: current state and future perspective G Zheng, LP Nolte Frontiers in surgery 2, 66, 2015 | 159 | 2015 |
| Which radiographic hip parameters do not have to be corrected for pelvic rotation and tilt? M Tannast, S Fritsch, G Zheng, KA Siebenrock, SD Steppacher Clinical Orthopaedics and Related Research® 473, 1255-1266, 2015 | 158 | 2015 |
| 3D multi-scale FCN with random modality voxel dropout learning for intervertebral disc localization and segmentation from multi-modality MR images X Li, Q Dou, H Chen, CW Fu, X Qi, DL Belavý, G Armbrecht, D Felsenberg, ... Medical image analysis 45, 41-54, 2018 | 151 | 2018 |
| Fully automatic localization and segmentation of 3D vertebral bodies from CT/MR images via a learning-based method C Chu, DL Belavý, G Armbrecht, M Bansmann, D Felsenberg, G Zheng PloS one 10 (11), e0143327, 2015 | 147 | 2015 |
| Fully automatic segmentation of lumbar vertebrae from CT images using cascaded 3D fully convolutional networks R Janssens, G Zeng, G Zheng 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 132 | 2018 |
| Nonlinear regression via deep negative correlation learning L Zhang, Z Shi, MM Cheng, Y Liu, JW Bian, JT Zhou, G Zheng, Z Zeng IEEE transactions on pattern analysis and machine intelligence 43 (3), 982-998, 2019 | 131 | 2019 |
Moritz TannastDepartment of Orthopaedic Surgery and Traumatology, Inselspital, University of Bern, SwitzerlandVerified email at unifr.ch
