Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

20 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
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.
Wennmann M, Goldschmidt H, Mosebach J, Hielscher T, Bäuerle T, Komljenovic D, McCarthy PL, Merz M, Schlemmer HP, Raab MS, Sauer S, Delorme S, Hillengass J. Wennmann M, et al. Br J Haematol. 2022 Oct;199(1):65-75. doi: 10.1111/bjh.18232. Epub 2022 May 24. Br J Haematol. 2022. PMID: 35608264
Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility Study.
Wennmann M, Klein A, Bauer F, Chmelik J, Grözinger M, Uhlenbrock C, Lochner J, Nonnenmacher T, Rotkopf LT, Sauer S, Hielscher T, Götz M, Floca RO, Neher P, Bonekamp D, Hillengass J, Kleesiek J, Weinhold N, Weber TF, Goldschmidt H, Delorme S, Maier-Hein K, Schlemmer HP. Wennmann M, et al. Invest Radiol. 2022 Nov 1;57(11):752-763. doi: 10.1097/RLI.0000000000000891. Epub 2022 May 27. Invest Radiol. 2022. PMID: 35640004
Repeatability and Reproducibility of ADC Measurements and MRI Signal Intensity Measurements of Bone Marrow in Monoclonal Plasma Cell Disorders: A Prospective Bi-institutional Multiscanner, Multiprotocol Study.
Wennmann M, Thierjung H, Bauer F, Weru V, Hielscher T, Grözinger M, Gnirs R, Sauer S, Goldschmidt H, Weinhold N, Bonekamp D, Schlemmer HP, Weber TF, Delorme S, Rotkopf LT. Wennmann M, et al. Invest Radiol. 2022 Apr 1;57(4):272-281. doi: 10.1097/RLI.0000000000000838. Invest Radiol. 2022. PMID: 34839306
Deep Learning for Automatic Bone Marrow Apparent Diffusion Coefficient Measurements From Whole-Body Magnetic Resonance Imaging in Patients With Multiple Myeloma: A Retrospective Multicenter Study.
Wennmann M, Neher P, Stanczyk N, Kahl KC, Kächele J, Weru V, Hielscher T, Grözinger M, Chmelik J, Zhang KS, Bauer F, Nonnenmacher T, Debic M, Sauer S, Rotkopf LT, Jauch A, Schlamp K, Mai EK, Weinhold N, Afat S, Horger M, Goldschmidt H, Schlemmer HP, Weber TF, Delorme S, Kurz FT, Maier-Hein K. Wennmann M, et al. Invest Radiol. 2023 Apr 1;58(4):273-282. doi: 10.1097/RLI.0000000000000932. Epub 2022 Oct 3. Invest Radiol. 2023. PMID: 36256790
Analyzing Longitudinal wb-MRI Data and Clinical Course in a Cohort of Former Smoldering Multiple Myeloma Patients: Connections between MRI Findings and Clinical Progression Patterns.
Wennmann M, Hielscher T, Kintzelé L, Menze BH, Langs G, Merz M, Sauer S, Kauczor HU, Schlemmer HP, Delorme S, Goldschmidt H, Weinhold N, Hillengass J, Weber MA. Wennmann M, et al. Cancers (Basel). 2021 Feb 25;13(5):961. doi: 10.3390/cancers13050961. Cancers (Basel). 2021. PMID: 33668879 Free PMC article.
Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.
Zhang KS, Schelb P, Netzer N, Tavakoli AA, Keymling M, Wehrse E, Hog R, Rotkopf LT, Wennmann M, Glemser PA, Thierjung H, von Knebel Doeberitz N, Kleesiek J, Görtz M, Schütz V, Hielscher T, Stenzinger A, Hohenfellner M, Schlemmer HP, Maier-Hein K, Bonekamp D. Zhang KS, et al. Among authors: wennmann m. Invest Radiol. 2022 Sep 1;57(9):601-612. doi: 10.1097/RLI.0000000000000878. Epub 2022 Apr 21. Invest Radiol. 2022. PMID: 35467572
Prediction of Bone Marrow Biopsy Results From MRI in Multiple Myeloma Patients Using Deep Learning and Radiomics.
Wennmann M, Ming W, Bauer F, Chmelik J, Klein A, Uhlenbrock C, Grözinger M, Kahl KC, Nonnenmacher T, Debic M, Hielscher T, Thierjung H, Rotkopf LT, Stanczyk N, Sauer S, Jauch A, Götz M, Kurz FT, Schlamp K, Horger M, Afat S, Besemer B, Hoffmann M, Hoffend J, Kraemer D, Graeven U, Ringelstein A, Bonekamp D, Kleesiek J, Floca RO, Hillengass J, Mai EK, Weinhold N, Weber TF, Goldschmidt H, Schlemmer HP, Maier-Hein K, Delorme S, Neher P. Wennmann M, et al. Invest Radiol. 2023 Oct 1;58(10):754-765. doi: 10.1097/RLI.0000000000000986. Epub 2023 May 22. Invest Radiol. 2023. PMID: 37222527
20 results