| Repeatability and reproducibility of ADC measurements and MRI signal intensity measurements of bone marrow in monoclonal plasma cell disorders: a prospective bi-institutional … M Wennmann, H Thierjung, F Bauer, V Weru, T Hielscher, M Grözinger, ... Investigative Radiology 57 (4), 272-281, 2022 | 28 | 2022 |
| In vivo repeatability and multiscanner reproducibility of MRI radiomics features in patients with monoclonal plasma cell disorders: a prospective bi-institutional study M Wennmann, F Bauer, A Klein, J Chmelik, M Grözinger, LT Rotkopf, ... Investigative Radiology 58 (4), 253-264, 2023 | 25 | 2023 |
| Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study M Wennmann, A Klein, F Bauer, J Chmelik, M Grözinger, C Uhlenbrock, ... Investigative radiology 57 (11), 752-763, 2022 | 25 | 2022 |
| Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of … M Wennmann, L Kintzelé, M Piraud, BH Menze, T Hielscher, ... Oncotarget 9 (38), 25254, 2018 | 17 | 2018 |
| Whole‐body magnetic resonance imaging plus serological follow‐up for early identification of progression in smouldering myeloma patients to prevent development of end‐organ damage M Wennmann, H Goldschmidt, J Mosebach, T Hielscher, T Bäuerle, ... British Journal of Haematology 199 (1), 65-75, 2022 | 13 | 2022 |
| Deep learning for automatic bone marrow apparent diffusion coefficient measurements from whole-body magnetic resonance imaging in patients with multiple myeloma: a … M Wennmann, P Neher, N Stanczyk, KC Kahl, J Kächele, V Weru, ... Investigative Radiology 58 (4), 273-282, 2023 | 12 | 2023 |
| Local radiation therapy before and during induction delays stem cell mobilization and collection in multiple myeloma patients S Sauer, K Erdmann, AD Jensen, M Wennmann, P Pavel, K Jordan, ... Transplantation and cellular therapy 27 (10), 876. e1-876. e11, 2021 | 12 | 2021 |
| Spatial distribution of focal lesions in whole-body MRI and influence of MRI protocol on staging in patients with smoldering multiple myeloma according to the new SLiM-CRAB … M Wennmann, T Hielscher, L Kintzelé, BH Menze, G Langs, M Merz, ... Cancers 12 (9), 2537, 2020 | 12 | 2020 |
| Analyzing longitudinal wb-MRI data and clinical course in a cohort of former smoldering multiple myeloma patients: connections between MRI findings and clinical progression … M Wennmann, T Hielscher, L Kintzelé, BH Menze, G Langs, M Merz, ... Cancers 13 (5), 961, 2021 | 9 | 2021 |
| Prediction of bone marrow biopsy results from MRI in multiple myeloma patients using deep learning and radiomics M Wennmann, W Ming, F Bauer, J Chmelik, A Klein, C Uhlenbrock, ... Investigative radiology 58 (10), 754-765, 2023 | 8 | 2023 |
| Towards quantitative imaging biomarkers of tumor dissemination: a multi-scale parametric modeling of multiple myeloma M Piraud, M Wennmann, L Kintzelé, J Hillengass, U Keller, G Langs, ... Medical Image Analysis 57, 214-225, 2019 | 8 | 2019 |
| Pseudoprospective paraclinical interaction of radiology residents with a deep learning system for prostate cancer detection: experience, performance, and identification of the … KS Zhang, P Schelb, N Netzer, AA Tavakoli, M Keymling, E Wehrse, ... Investigative radiology 57 (9), 601-612, 2022 | 6 | 2022 |
| Asymmetric cascade networks for focal Bone lesion prediction in multiple myeloma R Licandro, J Hofmanninger, M Perkonigg, S Röhrich, MA Weber, ... arXiv preprint arXiv:1907.13539, 2019 | 6 | 2019 |
| P-018: Automatic analysis of magnetic resonance imaging in multiple myeloma patients: Deep-learning based pelvic bone marrow segmentation and radiomics analysis for prediction … M Wennmann, A Klein, F Bauer, J Chmelik, C Uhlenbrock, M Grözinger, ... Clinical Lymphoma Myeloma and Leukemia 21, S49, 2021 | 4 | 2021 |
| P-012: Automatic bone marrow segmentation in whole-body magnetic resonance imaging: Towards comprehensive, objective MRI-phenotypic bone marrow characterization in multiple myeloma M Wennmann, J Chmelik, F Bauer, A Klein, C Uhlenbrock, J Lochner, ... Clinical Lymphoma Myeloma and Leukemia 21, S45-S46, 2021 | 3 | 2021 |
| P-138: Frequent magnetic resonance imaging partially reduces the development of end organ damage in patients with smoldering myeloma J Hillengass, M Wennmann, T Hielscher, T Baeuerle, B Wagner, ... Clinical Lymphoma Myeloma and Leukemia 21, S110-S111, 2021 | 3 | 2021 |
| Reproducible Radiomics Features from Multi‐MRI‐Scanner Test–Retest‐Study: Influence on Performance and Generalizability of Models M Wennmann, LT Rotkopf, F Bauer, T Hielscher, J Kächele, EK Mai, ... Journal of Magnetic Resonance Imaging, 2024 | 2 | 2024 |
| Test–retest, inter-and intra-rater reproducibility of size measurements of focal bone marrow lesions in MRI in patients with multiple myeloma M Wennmann, M Grözinger, V Weru, T Hielscher, LT Rotkopf, F Bauer, ... The British Journal of Radiology 96 (1145), 20220745, 2023 | 2 | 2023 |
| Potential of radiomics and artificial intelligence in myeloma imaging: development of automatic, comprehensive, objective skeletal analyses from whole-body imaging data M Wennmann, JM Murray Der Radiologe, 1-7, 2022 | 2 | 2022 |
| Identification of focal lesion characteristics in MRI which indicate presence of corresponding osteolytic lesion in CT in patients with multiple myeloma N Hildenbrand, A Klein, K Maier-Hein, M Wennmann, S Delorme, ... Bone 175, 116857, 2023 | 1 | 2023 |
