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Pulmonary imaging

Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects’ prognosis

Arvin Arian, Mohammad-Mehdi Mehrabi Nejad, [ ... ], Hamid Soltanian-Zadeh

Route of administration significantly affects particle deposition and cellular recruitment

Keziyah Yisrael, Ryan W. Drover, [ ... ], David D. Lo

Immunomodulatory and pro-oncologic effects of ketamine and isoflurane anesthetics in a murine model

Dominique Abrahams, Arig Ibrahim-Hashim, [ ... ], Aaron R. Muncey

Effective and efficient content-based similarity retrieval of large lung CT images based on WSSLN model

Yi Zhuang, Nan Jiang

The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease

Chu hyun Kim, Myung Jin Chung, [ ... ], Hongseok Yoo

Complex network-based classification of radiographic images for COVID-19 diagnosis

Weiguang Liu, Rafael Delalibera Rodrigues, [ ... ], Liang Zhao

Collision-constrained deformable image registration framework for discontinuity management

Thomas Alscher, Kenny Erleben, Sune Darkner

Automatic detection and classification of lung cancer CT scans based on deep learning and ebola optimization search algorithm

Tehnan I. A. Mohamed, Olaide N. Oyelade, Absalom E. Ezugwu

Optimal timing and cutoff range of lung ultrasound in predicting surfactant administration in neonates: A meta-analysis and systematic review

Keren Luo, Haoran Wang, Fangjun Huang, Jun Tang

Predicted versus CT-derived total lung volume in a general population: The ImaLife study

Hendrik J. Wisselink, Danielle J. D. Steerenberg, [ ... ], Rozemarijn Vliegenthart

Presence of mediastinal lymphadenopathy in hospitalized Covid-19 patients in a tertiary care hospital in Pakistan–A cross-sectional study

Faryal S. Bhatti, Amyn A. Malik, Adeel A. Malik

Structural priors represented by discrete cosine transform improve EIT functional imaging

Rongqing Chen, Sabine Krueger-Ziolek, [ ... ], Knut Moeller

Artificially-generated consolidations and balanced augmentation increase performance of U-net for lung parenchyma segmentation on MR images

Cristian Crisosto, Andreas Voskrebenzev, [ ... ], Jens Vogel-Claussen

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