| Skin lesion classification using CNNs with patch-based attention and diagnosis-guided loss weighting N Gessert, T Sentker, F Madesta, R Schmitz, H Kniep, I Baltruschat, ... IEEE Transactions on Biomedical Engineering 67 (2), 495-503, 2019 | 133 | 2019 |
| A dosimetric comparison of real-time adaptive and non-adaptive radiotherapy: a multi-institutional study encompassing robotic, gimbaled, multileaf collimator and couch tracking E Colvill, J Booth, S Nill, M Fast, J Bedford, U Oelfke, M Nakamura, ... Radiotherapy and Oncology 119 (1), 159-165, 2016 | 96 | 2016 |
| Skin lesion diagnosis using ensembles, unscaled multi-crop evaluation and loss weighting N Gessert, T Sentker, F Madesta, R Schmitz, H Kniep, I Baltruschat, ... arXiv preprint arXiv:1808.01694, 2018 | 86 | 2018 |
| GDL-FIRE: Deep learning-based fast 4D CT image registration T Sentker, F Madesta, R Werner International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 60 | 2018 |
| Real time tracking in liver SBRT: comparison of CyberKnife and Vero by planning structure-based γ-evaluation and dose-area-histograms T Sothmann, O Blanck, K Poels, R Werner, T Gauer Physics in Medicine & Biology 61 (4), 1677, 2016 | 43 | 2016 |
| 4D CT image artifacts affect local control in SBRT of lung and liver metastases T Sentker, V Schmidt, AK Ozga, C Petersen, F Madesta, C Hofmann, ... Radiotherapy and Oncology 148, 229-234, 2020 | 37 | 2020 |
| Influence of deformable image registration on 4D dose simulation for extracranial SBRT: A multi-registration framework study N Mogadas, T Sothmann, T Knopp, T Gauer, C Petersen, R Werner Radiotherapy and Oncology 127 (2), 225-232, 2018 | 26 | 2018 |
| Self‐contained deep learning‐based boosting of 4D cone‐beam CT reconstruction F Madesta, T Sentker, T Gauer, R Werner Medical physics 47 (11), 5619-5631, 2020 | 24 | 2020 |
| Intelligent 4D CT sequence scanning (i4DCT): Concept and performance evaluation R Werner, T Sentker, F Madesta, T Gauer, C Hofmann Medical physics 46 (8), 3462-3474, 2019 | 24 | 2019 |
| Under-reported dosimetry errors due to interplay effects during VMAT dose delivery in extreme hypofractionated stereotactic radiotherapy T Gauer, T Sothmann, O Blanck, C Petersen, R Werner Strahlentherapie und Onkologie 194 (6), 570-579, 2018 | 22 | 2018 |
| Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal‐guided 4D CT R Werner, T Sentker, F Madesta, A Schwarz, M Vornehm, T Gauer, ... Medical Physics 47 (6), 2408-2412, 2020 | 16 | 2020 |
| Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: a first comprehensive phantom study R Werner, J Szkitsak, T Sentker, F Madesta, A Schwarz, S Fernolendt, ... Physics in Medicine & Biology 66 (1), 015004, 2021 | 15 | 2021 |
| Deep learning–based automated thrombolysis in cerebral infarction scoring: a timely proof-of-principle study M Nielsen, M Waldmann, AM Frölich, F Flottmann, E Hristova, ... Stroke 52 (11), 3497-3504, 2021 | 14 | 2021 |
| Influence of 4D CT motion artifacts on correspondence model-based 4D dose accumulation T Sothmann, T Gauer, R Werner Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and …, 2018 | 14 | 2018 |
| Time matters: handling spatio-temporal perfusion information for automated TICI scoring M Nielsen, M Waldmann, T Sentker, A Frölich, J Fiehler, R Werner Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 10 | 2020 |
| Correspondence model-based 4D VMAT dose simulation for analysis of local metastasis recurrence after extracranial SBRT T Sothmann, T Gauer, M Wilms, R Werner Physics in Medicine & Biology 62 (23), 9001, 2017 | 9 | 2017 |
| Skin Lesion Diagnosis using Ensembles N Gessert, T Sentker, F Madesta, R Schmitz, H Kniep, I Baltruschat, ... Unscaled Multi-Crop Evaluation, and Loss Weighting. available on:[https …, 2018 | 8 | 2018 |
| 4D dose simulation in volumetric arc therapy: Accuracy and affecting parameters T Sothmann, T Gauer, R Werner PLoS One 12 (2), e0172810, 2017 | 8 | 2017 |
| Combining good old random forest and DeepLabv3+ for ISLES 2018 CT-based stroke segmentation L Böhme, F Madesta, T Sentker, R Werner Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 7 | 2019 |
| Analysis of the influence of imaging-related uncertainties on cerebral aneurysm deformation quantification using a no-deformation physical flow phantom D Schetelig, J Sedlacik, J Fiehler, A Frölich, T Knopp, T Sothmann, ... Scientific reports 8 (1), 11004, 2018 | 7 | 2018 |
