| Multiparametric MRI for prostate cancer characterization: Combined use of radiomics model with PI-RADS and clinical parameters P Woźnicki, N Westhoff, T Huber, P Riffel, MF Froelich, E Gresser, ... Cancers 12 (7), 1767, 2020 | 60 | 2020 |
| General purpose radiomics for multi-modal clinical research MG Wels, F Lades, A Muehlberg, M Suehling Medical imaging 2019: Computer-aided diagnosis 10950, 1047-1054, 2019 | 47 | 2019 |
| The relevance of CT-based geometric and radiomics analysis of whole liver tumor burden to predict survival of patients with metastatic colorectal cancer A Mühlberg, JW Holch, V Heinemann, T Huber, J Moltz, S Maurus, ... European Radiology 31, 834-846, 2021 | 27 | 2021 |
| Three-dimensional distribution of muscle and adipose tissue of the thigh at CT: Association with acute hip fracture A Muehlberg, O Museyko, V Bousson, P Pottecher, JD Laredo, K Engelke Radiology 290 (2), 426-434, 2019 | 25 | 2019 |
| 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), 1-15, 2020 | 16 | 2020 |
| A reproducible semi-automatic method to quantify the muscle-lipid distribution in clinical 3D CT images of the thigh A Muehlberg, O Museyko, JD Laredo, K Engelke PloS one 12 (4), e0175174, 2017 | 16 | 2017 |
| 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 | 14 | 2021 |
| 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, 2018 | 13 | 2018 |
| 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 | 10 | 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 | 10 | 2021 |
| 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 | 6 | 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 | 4 | 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 |
| Computed Tomography Image-Based Deep Survival Regression for Metastatic Colorectal Cancer Using a Non-proportional Hazards Model A Katzmann, A Muehlberg, M Suehling, D Noerenberg, S Maurus, ... International Workshop on PRedictive Intelligence In MEdicine, 73-80, 2019 | 3 | 2019 |
| Muskelbildgebung bei Sarkopenie K Engelke, A Grimm, A Mühlberg, A Friedberger, O Chaudry, O Museyko Osteologie 26 (01), 18-24, 2017 | 3 | 2017 |
| How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography F Denzinger, M Wels, K Breininger, O Taubmann, A Mühlberg, ... Scientific Reports 13 (1), 2563, 2023 | 1 | 2023 |
| Myofibrillar Lattice Remodeling Is a Structural Cytoskeletal Predictor of Diaphragm Muscle Weakness in a Fibrotic mdx (mdx Cmah−/−) Model P Ritter, S Nübler, A Buttgereit, LR Smith, A Mühlberg, J Bauer, M Michael, ... International journal of molecular sciences 23 (18), 10841, 2022 | 1 | 2022 |
| DeepTechnome: Mitigating Unknown Bias in Deep Learning Based Assessment of CT Images S Langer, O Taubmann, F Denzinger, A Maier, A Mühlberg arXiv preprint arXiv:2205.13297, 2022 | 1 | 2022 |
| 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 |
| Hybrid Rotation Invariant Networks for small sample size Deep Learning A Katzmann, MS Seibel, A Muehlberg, M Suehling, D Noerenberg, ... | 1 | 2018 |
Alexander KatzmannResearch Scientist @ Siemens HealthineersBestätigte E-Mail-Adresse bei siemens-healthineers.com
