| Multinet: Real-time joint semantic reasoning for autonomous driving M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun 2018 IEEE intelligent vehicles symposium (IV), 1013-1020, 2018 | 871 | 2018 |
| Detect-to-retrieve: Efficient regional aggregation for image search M Teichmann, A Araujo, M Zhu, J Sim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 144 | 2019 |
| Convolutional CRFs for semantic segmentation MTT Teichmann, R Cipolla arXiv preprint arXiv:1805.04777, 2018 | 139 | 2018 |
| Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery S Bodenstedt, M Allan, A Agustinos, X Du, L Garcia-Peraza-Herrera, ... arXiv preprint arXiv:1805.02475, 2018 | 71 | 2018 |
| Pixel-wise segmentation of street with neural networks S Bittel, V Kaiser, M Teichmann, M Thoma arXiv preprint arXiv:1511.00513, 2015 | 32 | 2015 |
| Large scale joint semantic re-localisation and scene understanding via globally unique instance coordinate regression I Budvytis, M Teichmann, T Vojir, R Cipolla arXiv preprint arXiv:1909.10239, 2019 | 23 | 2019 |
| Convolutional CRFs for semantic segmentation. arXiv 2018 MT Teichmann, R Cipolla arXiv preprint arXiv:1805.04777, 1805 | 14 | 1805 |
| MultiNet: Real-time joint semantic reasoning for autonomous driving. arXiv 2016 M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun arXiv preprint arXiv:1612.07695, 0 | 12 | |
| MultiNet: Real-Time Joint Semantic Reasoning for Autonomous Driving. 2016 M Teichmann, M Weber, M Zoellner, R Cipolla, R Urtasun arXiv preprint arXiv:1612.07695, 2012 | 5 | 2012 |
| End-to-end learning for image-based detection of molecular alterations in digital pathology M Teichmann, A Aichert, H Bohnenberger, P Ströbel, T Heimann International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 3 | 2022 |
| X-ray image synthesis from CT images for training nodule detection systems F Ghesu, S Liu, AA Adiyoso, S Grbic, M Teichmann US Patent 11,615,267, 2023 | 2 | 2023 |
| Methods and systems for providing training data sets for training a machine-learned segmentation algorithm for use in digital pathology A Aichert, M Teichmann, AA Adiyoso US Patent App. 18/186,406, 2023 | 1 | 2023 |
| Ai-assisted generation of annotated medical images M Teichmann, A Aichert, H Bohnenberger US Patent App. 18/174,971, 2023 | 1 | 2023 |
| Annotation refinement for segmentation of whole-slide images in digital pathology A Aichert, M Teichmann, B Tamersoy, M Kraus, AA Adiyoso US Patent App. 18/173,330, 2023 | 1 | 2023 |
| Deep Structured Multi-Task Learning for Computer Vision in Autonomous Driving M Teichmann | 1 | 2020 |
| Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy Workflow MT Teichmann, M Datar, L Kratzke, F Vega, FC Ghesu International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Computer-assisted medical diagnosis system and method M Teichmann, A Aichert, R Brendtke US Patent App. 18/364,106, 2024 | | 2024 |
| Training of machine-learning algorithms for digital pathalogy using healthy-tissue whole slide images A Aichert, M Teichmann, H Bohnenberger, B Tamersoy US Patent App. 18/302,243, 2023 | | 2023 |
| Methods and systems for providing molecular data based on ct images AA Adiyoso, A Aichert, M Teichmann, T Heimann US Patent App. 18/155,176, 2023 | | 2023 |
| Digital pathology using an artificial neural network M Teichmann, A Aichert, B Tamersoy, M Kraus, AA Adiyoso, T Heimann US Patent 11,699,233, 2023 | | 2023 |
