| The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer A Muehlberg, JW Holch, V Heinemann, T Huber, J Moltz, S Maurus, ... European radiology 31, 834-846, 2021 | 32 | 2021 |
| The technome-a predictive internal calibration approach for quantitative imaging biomarker research A Mühlberg, A Katzmann, V Heinemann, R Kärgel, M Wels, O Taubmann, ... Scientific reports 10 (1), 1103, 2020 | 21 | 2020 |
| Explaining clinical decision support systems in medical imaging using cycle-consistent activation maximization A Katzmann, O Taubmann, S Ahmad, A Mühlberg, M Sühling, HM Groß Neurocomputing 458, 141-156, 2021 | 17 | 2021 |
| Radiomics features of the spleen as surrogates for CT-based lymphoma diagnosis and subtype differentiation JS Enke, JH Moltz, M D'Anastasi, WG Kunz, C Schmidt, S Maurus, ... Cancers 14 (3), 713, 2022 | 16 | 2022 |
| Predicting lesion growth and patient survival in colorectal cancer patients using deep neural networks A Katzmann, A Muehlberg, M Sühling, D Noerenberg, JW Holch, ... Medical Imaging with Deep Learning, 2022 | 14 | 2022 |
| Methods for generating synthetic training data and for training deep learning algorithms for tumor lesion characterization, method and system for tumor lesion characterization … A Katzmann, L Kratzke, A Muehlberg, M Suehling US Patent 11,138,731, 2021 | 14 | 2021 |
| Mobile assessment tools K Henke, K Debes, HD Wuttke, A Katzmann International Journal of Recent Contributions from Engineering, Science & IT …, 2014 | 10 | 2014 |
| Quantitative imaging biomarkers of the whole liver tumor burden improve survival prediction in metastatic pancreatic cancer L Gebauer, JH Moltz, A Mühlberg, JW Holch, T Huber, J Enke, N Jäger, ... Cancers 13 (22), 5732, 2021 | 9 | 2021 |
| Deep random forests for small sample size prediction with medical imaging data A Katzmann, A Muehlberg, M Suehling, D Nörenberg, JW Holch, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1543-1547, 2020 | 6 | 2020 |
| Unraveling the interplay of image formation, data representation and learning in CT‐based COPD phenotyping automation: The need for a meta‐strategy A Mühlberg, R Kärgel, A Katzmann, F Durlak, PE Allard, JB Faivre, ... Medical physics 48 (9), 5179-5191, 2021 | 3 | 2021 |
| Method for obtaining disease-related clinical information A Muehlberg, O Taubmann, A Katzmann, M Suehling US Patent App. 17/109,332, 2021 | 3 | 2021 |
| Computed tomography image-based deep survival regression for metastatic colorectal cancer using a non-proportional hazards model A Katzmann, A Mühlberg, M Sühling, D Nörenberg, S Maurus, JW Holch, ... Predictive Intelligence in Medicine: Second International Workshop, PRIME …, 2019 | 3 | 2019 |
| TumorEncode-Deep Convolutional Autoencoder for Computed Tomography Tumor Treatment Assessment A Katzmann, A Mühlberg, M Sühling, D Nörenberg, JW Holch, HM Groß 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 2 | 2018 |
| Providing a classification explanation and a generative function A Katzmann, S Ahmad, M Suehling, A Muehlberg US Patent App. 17/476,630, 2022 | 1 | 2022 |
| Deep Metamemory-A Generic Framework for Stabilized One-Shot Confidence Estimation in Deep Neural Networks and its Application on Colorectal Cancer Liver Metastases Growth … A Katzmann, A Mühlberg, M Sühling, D Nörenberg, HM Groß 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 1 | 2019 |
| Hybrid Rotation Invariant Networks for small sample size Deep Learning A Katzmann, MS Seibel, A Mühlberg, M Sühling, D Nörenberg, S Maurus, ... | 1 | 2018 |
| Method and data processing system for providing explanatory radiomics-related information A Muehlberg, O Taubmann, A Katzmann, F Durlak, M Wels, F Lades, ... US Patent 11,954,178, 2024 | | 2024 |
| Method and data processing system for providing a stroke information O Taubmann, A Katzmann, H Ditt, F Thamm, R Leonhard, F Denzinger, ... US Patent App. 18/191,624, 2023 | | 2023 |
| Method and data processing system for providing a prediction of a medical target variable A Muehlberg, A Katzmann, F Durlak, M Suehling US Patent 11,626,203, 2023 | | 2023 |
| Deep learning for clinical decision support in oncology A Katzmann | | 2022 |
Alexander MühlbergПотвърден имейл адрес: siemens-healthineers.com
