Chenggong Yan
Southern Medical University
5 Papers
12 Citations
Chenggong Yan is an academic researcher from Southern Medical University. The author has contributed to research in topics: Retrospective cohort study & Triage. The author has an hindex of 2, co-authored 5 publications. Previous affiliations of Chenggong Yan include Maastricht University & Maastricht University Medical Centre.
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Papers
Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study.
Guangyao Wu,Pei Yang,Yuanliang Xie,Henry C. Woodruff,Xiangang Rao,Julien Guiot,Anne Noelle Frix,Renaud Louis,Michel Moutschen,Li Jiawei,Li Jing,Chenggong Yan,Chenggong Yan,Dan Du,Shengchao Zhao,Yi Ding,Liu Bin,Wenwu Sun,Fabrizio Albarello,Alessandra D'Abramo,Vincenzo Schininà,Emanuele Nicastri,Mariaelena Occhipinti,Giovanni Barisione,Emanuela Barisione,Iva Halilaj,Pierre Lovinfosse,Xiang Wang,Jianlin Wu,Philippe Lambin +29 more
TL;DR: The machine-learning model, nomogram and online calculator might be useful to access the onset of severe and critical illness among COVID-19 patients and triage at hospital admission.
252
Structural and functional radiomics for lung cancer.
Guangyao Wu,Guangyao Wu,Arthur Jochems,Abdalla Ibrahim,Chenggong Yan,Chenggong Yan,Sebastian Sanduleanu,Henry C. Woodruff,Philippe Lambin +8 more
TL;DR: In this paper, the authors outline the latest applications of both structural and functional radiomics in detection, diagnosis, and prediction of pathology, gene mutation, treatment strategy, follow-up, treatment response evaluation, and prognosis in the field of lung cancer.
A fully automatic artificial intelligence-based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis.
Chenggong Yan,Chenggong Yan,Lingfeng Wang,Lingfeng Wang,Jie Lin,Jun Xu,Tianjing Zhang,Jin Qi,Xiangying Li,Wei Ni,Guangyao Wu,Guangyao Wu,Jianbin Huang,Yikai Xu,Henry C. Woodruff,Henry C. Woodruff,Philippe Lambin,Philippe Lambin +17 more
TL;DR: In this article, a deep learning-based fully automated CT image analysis system was developed for detection, diagnosis, and burden quantification of pulmonary TB. But the authors focused on the detection of lung lesion involvement as the ground truth.
Development of a Clinical Decision Support System for Severity Risk Prediction and Triage of COVID-19 Patients at Hospital Admission: an International Multicenter Study
Guangyao Wu,Guangyao Wu,Pei Yang,Henry C. Woodruff,Xiangang Rao,Julien Guiot,Anne-Noëlle Frix,Michel Moutschen,Renaud Louis,Li Jiawei,Jing Li,Chenggong Yan,Chenggong Yan,Dan Du,Shengchao Zhao,Yi Ding,Liu Bin,Wenwu Sun,Fabrizio Albarello,Alessandra D'Abramo,Vincenzo Schininà,Emanuele Nicastri,Mariaelena Occhipinti,Giovanni Barisione,Emanuela Barisione,Iva Halilaj,Yuanliang Xie,Xiang Wang,Pierre Lovinfosse,Jianlin Wu,Philippe Lambin +30 more
TL;DR: The machine learning models, nomograms, and online calculators might be useful for the prediction of onset of severe and critical illness among COVID-19 patients and triage at hospital admission and to determine whether these models can help optimize medical resources and reduce mortality rates compared with current clinical practices.
15
Cycle-Consistent Generative Adversarial Network: Effect on Radiation Dose Reduction and Image Quality Improvement in Ultralow-Dose CT for Evaluation of Pulmonary Tuberculosis.
Chenggong Yan,Chenggong Yan,Jie Lin,Haixia Li,Jun Xu,Tianjing Zhang,Hao Chen,Henry C. Woodruff,Henry C. Woodruff,Guangyao Wu,Siqi Zhang,Yikai Xu,Philippe Lambin,Philippe Lambin +13 more
TL;DR: The CycleGAN-generated denoised ULDCT images typically provided satisfactory image quality for optimal visibility of anatomic structures and pathological findings, with a lower level of image noise (mean ± standard deviation [SD], 19.5 ± 3.0 Hounsfield unit [HU]) than that of the hybrid approach.