Artificial intelligence, radiomics and other horizons in body composition assessment-Reference-Cited by-同舟云学术

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Artificial intelligence, radiomics and other horizons in body composition assessment

Published:2020-08 Issue:8 Volume:10 Page:1650-1660
ISSN:2223-4292
Container-title:Quantitative Imaging in Medicine and Surgery
language:
Short-container-title:Quant Imaging Med Surg

Author:

Attanasio Simona,Forte Sara Maria,Restante Giuliana,Gabelloni Michela,Guglielmi Giuseppe,Neri Emanuele

Publisher

AME Publishing Company

Subject

Radiology Nuclear Medicine and imaging

Cited by 28 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. Stability of Radiomic Models and Strategies to Enhance Reproducibility;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-05

2. Emergence of imaging technology beyond the clinical setting: Utilization of mobile health tools for at‐home testing;Nutrition in Clinical Practice;2024-04-09

3. Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-02-01

4. Development and Validation of Artificial-Intelligence-Based Radiomics Model Using Computed Tomography Features for Preoperative Risk Stratification of Gastrointestinal Stromal Tumors;Journal of Personalized Medicine;2023-04-24

5. Development and validation of a stacking nomogram for predicting regional lymph node metastasis status in rectal cancer via deep learning and hand-crafted radiomics;INT J RADIAT RES;2023

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