| nnu-net: Self-adapting framework for u-net-based medical image segmentation F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ... arXiv preprint arXiv:1809.10486, 2018 | 874 | 2018 |
| A machine learning based approach to fiber tractography using classifier voting PF Neher, M Götz, T Norajitra, C Weber, KH Maier-Hein Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 43 | 2015 |
| 3D statistical shape models incorporating landmark-wise random regression forests for omni-directional landmark detection T Norajitra, KH Maier-Hein IEEE transactions on medical imaging 36 (1), 155-168, 2016 | 32 | 2016 |
| nnU-Net: self-adapting framework for U-Net-based medical image segmentation. 2018 F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ... arXiv preprint arXiv:1809.10486, 1809 | 26 | 1809 |
| 3D statistical shape models incorporating 3D random forest regression voting for robust CT liver segmentation T Norajitra, HP Meinzer, KH Maier-Hein Medical Imaging 2015: Computer-Aided Diagnosis 9414, 35-40, 2015 | 14 | 2015 |
| C-arm positioning for spinal standard projections in different intra-operative settings L Kausch, S Thomas, H Kunze, T Norajitra, A Klein, JS El Barbari, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 12 | 2021 |
| A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data M Goetz, E Heim, K Maerz, T Norajitra, M Hafezi, N Fard, A Mehrabi, ... Medical Imaging 2016: Image Processing 9784, 405-410, 2016 | 9 | 2016 |
| nnU-Net: self-adapting framework for U-Net-based medical image segmentation. CoRR abs/1809.10486 (2018) F Isensee, J Petersen, A Klein, D Zimmerer, PF Jaeger, S Kohl, ... arXiv preprint arXiv:1809.10486, 1809 | 9 | 1809 |
| Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort T Haueise, F Schick, N Stefan, CL Schlett, JB Weiss, J Nattenmüller, ... Science advances 9 (19), eadd0433, 2023 | 8 | 2023 |
| Efficient web-based review for automatic segmentation of volumetric dicom images T Stein, J Metzger, J Scherer, F Isensee, T Norajitra, J Kleesiek, ... Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019 | 7 | 2019 |
| Development and validation of an automated planning tool for navigated lumbosacral pedicle screws using a convolutional neural network M Scherer, L Kausch, B Ishak, T Norajitra, P Vollmuth, K Kiening, ... The Spine Journal 22 (10), 1666-1676, 2022 | 5 | 2022 |
| Effects of laparoscopy, laparotomy, and respiratory phase on liver volume in a live porcine model for liver resection HG Kenngott, F Nickel, AA Preukschas, M Wagner, S Bihani, E Özmen, ... Surgical Endoscopy, 1-9, 2021 | 5 | 2021 |
| 3d-regression voting on ct-volumes of the human liver for ssm surface appearance modeling T Norajitra, HP Meinzer, KH Maier-Hein Proc Shape, 13, 2014 | 5 | 2014 |
| C-arm positioning for standard projections during spinal implant placement L Kausch, S Thomas, H Kunze, T Norajitra, A Klein, L Ayala, J El Barbari, ... Medical Image Analysis 81, 102557, 2022 | 4 | 2022 |
| Fully automated segmentation of pulmonary fibrosis using different software tools J Ley-Zaporozhan, A Giannakis, T Norajitra, O Weinheimer, L Kehler, ... Respiration 100 (7), 580-587, 2021 | 4 | 2021 |
| Automated Containerized Medical Image Processing Based on MITK and Python: A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data CJ Goch, J Metzger, M Hettich, A Klein, T Norajitra, M Götz, J Petersen, ... Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018 | 4 | 2018 |
| Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT SD Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ... European radiology, 1-14, 2023 | 3 | 2023 |
| cOOpD: reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations SD Almeida, CT Lüth, T Norajitra, T Wald, M Nolden, PF Jäger, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| AI-supported comprehensive detection and quantification of biomarkers of subclinical widespread diseases at chest CT for preventive medicine V Palm, T Norajitra, O von Stackelberg, CP Heussel, S Skornitzke, ... Healthcare 10 (11), 2166, 2022 | 2 | 2022 |
| RPTK: The Role of Feature Computation on Prediction Performance JR Bohn, CM Heidt, SD Almeida, L Kausch, M Götz, M Nolden, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
Klaus H. Maier-HeinProfessor, Medical Image Computing, German Cancer Research CenterVerified email at dkfz.de
