Prediction Analysis of Idiopathic Pulmonary Fibrosis Progression from OSIC Dataset-Reference-Cited by-同舟云学术

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Prediction Analysis of Idiopathic Pulmonary Fibrosis Progression from OSIC Dataset

Published:2020-10-02 Issue: Volume: Page:
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Container-title:2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON)
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Author:

Mandal Sampurna,Balas Valentina E.,Shaw Rabindra Nath,Ghosh Ankush

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9230460/9231049/09231239.pdf?arnumber=9231239

Cited by 57 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. ELIPF: Explicit Learning Framework for Pre-Emptive Forecasting, Early Detection and Curtailment of Idiopathic Pulmonary Fibrosis Disease;BioMedInformatics;2024-08-01

2. Assessment of Global and Regional Lung Compliance in Pulmonary Fibrosis With Hyperpolarized Gas MRI;Journal of Magnetic Resonance Imaging;2024-06-27

3. Analysis of Validation Performance of a Machine Learning Classifier in Interstitial Lung Disease Cases Without Definite or Probable Usual Interstitial Pneumonia Pattern on CT Using Clinical and Pathology-Supported Diagnostic Labels;Journal of Imaging Informatics in Medicine;2024-01-11

4. Artificial intelligence;Digital Respiratory Healthcare;2023-12-01

5. Accurate Prediction of Pulmonary Fibrosis Progression Using EfficientNet and Quantile Regression: A High Performing Approach;2023 IEEE Region 10 Symposium (TENSYMP);2023-09-06

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