| Continual Learning for Domain Adaptation in Chest X-ray Classification M Lenga, H Schulz, A Saalbach Medical Imaging with Deep Learning (MIDL) 121, 413-423, 2020 | 56 | 2020 |
| How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T Truong, S Mohammadi, M Lenga Machine Learning for Health, 54-74, 2021 | 43 | 2021 |
| Combining deep learning and model-based segmentation for labeled spine CT segmentation C Buerger, J von Berg, A Franz, T Klinder, C Lorenz, M Lenga Medical imaging 2020: image processing 11313, 307-314, 2020 | 18 | 2020 |
| Multi-resolution 3d convolutional neural networks for automatic coronary centerline extraction in cardiac CT angiography scans Z Salahuddin, M Lenga, H Nickisch 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 91-95, 2021 | 15 | 2021 |
| Deep learning based rib centerline extraction and labeling M Lenga, T Klinder, C Bürger, J von Berg, A Franz, C Lorenz MICCAI workshop on Computational Methods and Clinical Applications in …, 2018 | 15 | 2018 |
| Representable options M Lenga University of Kiel, Department of Financial Mathematics, 2017 | 10 | 2017 |
| Offset regression networks for view plane estimation in 3D fetal ultrasound A Schmidt-Richberg, N Schadewaldt, T Klinder, M Lenga, R Trahms, ... Medical Imaging 2019: Image Processing 10949, 907-912, 2019 | 9 | 2019 |
| Are American options European after all? S Christensen, J Kallsen, M Lenga The Annals of Applied Probability 32 (2), 853-892, 2022 | 8 | 2022 |
| Detecting genetic alterations in BRAF and NTRK as oncogenic drivers in digital pathology images: Towards model generalization within and across multiple thyroid cohorts J Höhne, J de Zoete, AA Schmitz, T Bal, E di Tomaso, M Lenga MICCAI Workshop on Computational Pathology, 105-116, 2021 | 7 | 2021 |
| Landmark Constellation Models For Central Venous Catheter Malposition Detection I Sirazitdinov, M Lenga, IM Baltruschat, DV Dylov, A Saalbach IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021 | 5 | 2021 |
| Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder J Dippel, M Lenga, T Goerttler, K Obermayer, J Höhne arXiv preprint arXiv:2207.14508, 2022 | 2 | 2022 |
| Confidence measure for a deployed machine learning model M Lenga, R Wiemker, T Klinder, M Bergtholdt, H Carolus US Patent App. 17/426,759, 2022 | 2 | 2022 |
| Medical Image Retrieval Using Pretrained Embeddings FK Jush, T Truong, S Vogler, M Lenga https://arxiv.org/abs/2311.13547, 2023 | 1 | 2023 |
| 1648P Deep learning identifies oncogenic genetic alterations in BRAF and NTRK in H&E whole slide images from thyroid carcinomas M Williams, V Pelekanou, J Hoehne, JD Zoete, A Schmitz, TA Bal, ... Annals of Oncology 33, S1296, 2022 | 1 | 2022 |
| METHOD AND SYSTEM FOR CORRECTING CONTRAST-ENHANCED IMAGES S Wild, FM Weber, I Waechter-stehle, J Peters, A Ewald, A Gooßen, ... US Patent App. 18/280,512, 2024 | | 2024 |
| MACHINE LEARNING IN THE FIELD OF CONTRAST-ENHANCED RADIOLOGY M Lenga, M Purtorab US Patent App. 18/281,275, 2024 | | 2024 |
| BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives IM Baltruschat, P Janbakhshi, M Lenga arXiv preprint arXiv:2403.07800, 2024 | | 2024 |
| MULTIMODAL REPRESENTATION LEARNING J Hoehne, S Vogler, M Lenga US Patent App. 18/280,160, 2024 | | 2024 |
| System, method, and computer program product for contrast-enhanced radiology using machine learning M Lenga, M Purtorab US Patent App. 18/280,193, 2024 | | 2024 |
| Machine learning in the field of contrast-enhanced radiology M Lenga, M Purtorab US Patent App. 18/280,192, 2024 | | 2024 |
Axel SaalbachPhilips ResearchEmail verificata su philips.com
