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Pulmonary imaging

Rapid 3D phenotyping of chick embryo liver development at HH22-HH41 embryonic stages using X-ray microcomputed tomography with PTA staining

Igor Rzhepakovsky, Sergei Piskov, [ ... ], Andrey Nagdalian

Partial volume effect on kidney stones and lung nodules in CT imaging

Andreas Christe, Beat Roth, [ ... ], Grazia Maria Cereghetti

Application of ultrasound in assessment of acute lung injury in mice

An-Xia Deng, Ling Zhao, [ ... ], Xiao-Ming Gao

The specificity for the correlation between viscera and somato in chronic stable angina pectoris patients and healthy controls: An assessor-blinded and comparative trial

Yongliang Jiang, Xiaoyu Li, [ ... ], Jianqiao Fang

Artificial intelligence-based CT histogram parameters differentiating bronchiolar adenoma and lung adenocarcinomas: A two-center study

Wen Zhao, Ziqian Zhao, [ ... ], Tengfei Ke

Evaluation of mechanical ventilation modes in the laparoscopic perioperative period with electrical impedance tomography

Zhiwei Li, Yang Wu, [ ... ], Qiuju Cheng

YOLO-ED: An efficient lung cancer detection model based on improved YOLOv8

Qingqiang Zeng, Tao Hu, [ ... ], Yuanyuan Pan

Optimizing reliability of RBC signal oscillation measures from hyperpolarized ¹²⁹Xe MRI

Ivina Mali, Bradie Frizzell, Steven Haworth, Peter J. Niedbalski

TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction

Di Xu, Yang Yang, [ ... ], Ke Sheng

BM-MSCs mitigate lung injury in a rat model of decompression sickness

Chen Lu, Daqian Gu, [ ... ], Xianliang Lin

Preventing postoperative pulmonary complications by establishing a machine-learning assisted approach (PEPPERMINT): Study protocol for the creation of a risk prediction model

Britta Trautwein, Meinrad Beer, [ ... ], Michael Götz

HEE-SegGAN: A holistically-nested edge enhanced GAN for pulmonary nodule segmentation

Yong Wang, Seri Mastura Mustaza, Mohammad Syuhaimi Ab-Rahman, Siti Salasiah Mokri

RETRACTED: LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans

Ali Haider Khan, Jianqiang Li, Muhammad Nabeel Asghar, Sajid Iqbal

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