Deep Learning for Automatic Bone Marrow Apparent Diffusion Coefficient Measurements From Whole-Body Magnetic Resonance Imaging in Patients With Multiple Myeloma-Reference-Cited by-同舟云学术

Deep Learning for Automatic Bone Marrow Apparent Diffusion Coefficient Measurements From Whole-Body Magnetic Resonance Imaging in Patients With Multiple Myeloma

Published:2022-10-03 Issue:4 Volume:58 Page:273-282
ISSN:1536-0210
Container-title:Investigative Radiology
language:en
Short-container-title:Invest Radiol

Author:

Wennmann Markus,Neher Peter,Stanczyk Nikolas,Kahl Kim-Celine,Kächele Jessica,Weru Vivienn,Hielscher Thomas,Grözinger Martin,Chmelik Jiri,Zhang Kevin Sun,Bauer Fabian,Nonnenmacher Tobias,Debic Manuel,Sauer Sandra,Rotkopf Lukas Thomas,Jauch Anna,Schlamp Kai,Mai Elias Karl,Weinhold Niels,Afat Saif,Horger Marius,Goldschmidt Hartmut,Schlemmer Heinz-Peter,Weber Tim Frederik,Delorme Stefan,Kurz Felix Tobias,Maier-Hein Klaus

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference49 articles.

1. Multiple myeloma;Nat Rev Dis Prim,2017

2. Spatial genomic heterogeneity in multiple myeloma revealed by multi-region sequencing;Nat Commun,2017

3. Combination of flow cytometry and functional imaging for monitoring of residual disease in myeloma;Leukemia,2019

4. The presence of large focal lesions is a strong independent prognostic factor in multiple myeloma;Blood,2018

5. Guidelines for acquisition, interpretation, and reporting of whole-body MRI in myeloma: myeloma response assessment and diagnosis system (MY-RADS);Radiology,2019

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advancing Medical Imaging Research Through Standardization;Investigative Radiology;2024-07-11

2. Enhancing diagnostic accuracy of multiple myeloma through ML-driven analysis of hematological slides: new dataset and identification model to support hematologists;Scientific Reports;2024-05-15

3. Deep learning-based automated high-accuracy location and identification of fresh vertebral compression fractures from spinal radiographs: a multicenter cohort study;Frontiers in Bioengineering and Biotechnology;2024-05-14

4. 3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients with Multiple Myeloma using Whole-body MRI;Journal of Medical Systems;2024-03-08

5. Deep Learning for Delineation of the Spinal Canal in Whole-Body Diffusion-Weighted Imaging: Normalising Inter- and Intra-Patient Intensity Signal in Multi-Centre Datasets;Bioengineering;2024-01-29