Shan Huang, Yuan-Cheng Wang, Shenghong Ju. Chin J Acad Radiol 2022
Times Cited: 2
Times Cited: 2
Times Cited
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Heart and Lung Multimodality Imaging in COVID-19.
Eustachio Agricola, Alessandro Beneduce, Antonio Esposito, Giacomo Ingallina, Diego Palumbo, Anna Palmisano, Francesco Ancona, Luca Baldetti, Matteo Pagnesi, Giulio Melisurgo,[...]. JACC Cardiovasc Imaging 2020
Eustachio Agricola, Alessandro Beneduce, Antonio Esposito, Giacomo Ingallina, Diego Palumbo, Anna Palmisano, Francesco Ancona, Luca Baldetti, Matteo Pagnesi, Giulio Melisurgo,[...]. JACC Cardiovasc Imaging 2020
50
Automatic lung segmentation in COVID-19 patients: Impact on quantitative computed tomography analysis.
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Risk Factors for Severe Disease and Efficacy of Treatment in Patients Infected With COVID-19: A Systematic Review, Meta-Analysis, and Meta-Regression Analysis.
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Pulmonary function and health-related quality of life after COVID-19 pneumonia.
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Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics.
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A predictive factor for patients with acute respiratory distress syndrome: CT lung volumetry of the well-aerated region as an automated method.
Akira Nishiyama, Naoko Kawata, Hajime Yokota, Toshihiko Sugiura, Yosuke Matsumura, Takashi Higashide, Takuro Horikoshi, Shigeto Oda, Koichiro Tatsumi, Takashi Uno. Eur J Radiol 2020
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Robust prediction of mortality of COVID-19 patients based on quantitative, operator-independent, lung CT densitometry.
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Martina Mori, Diego Palumbo, Rebecca De Lorenzo, Sara Broggi, Nicola Compagnone, Giorgia Guazzarotti, Pier Giorgio Esposito, Aldo Mazzilli, Stephanie Steidler, Giordano Pietro Vitali,[...]. Phys Med 2021
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Review of automatic pulmonary lobe segmentation methods from CT.
Tom Doel, David J Gavaghan, Vicente Grau. Comput Med Imaging Graph 2015
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Methodological approach to create an atlas using a commercial auto-contouring software.
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Fleischner Society: glossary of terms for thoracic imaging.
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Quantitative imaging biomarkers alliance (QIBA) recommendations for improved precision of DWI and DCE-MRI derived biomarkers in multicenter oncology trials.
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Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.
Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, Liming Xia. Radiology 2020
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Pulmonary Vascular Thrombosis in COVID-19 Pneumonia.
Francesco De Cobelli, Diego Palumbo, Fabio Ciceri, Giovanni Landoni, Annalisa Ruggeri, Patrizia Rovere-Querini, Armando D'Angelo, Stephanie Steidler, Laura Galli, Andrea Poli,[...]. J Cardiothorac Vasc Anesth 2021
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Machine learning-based CT radiomics method for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: a multicenter study.
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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi. Comput Biol Med 2020
Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U Rajendra Acharya, Nazanin Khadem, Afshin Mohammadi. Comput Biol Med 2020
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UNet++: A Nested U-Net Architecture for Medical Image Segmentation.
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang. Deep Learn Med Image Anal Multimodal Learn Clin Decis Support (2018) 2018
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Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds.
Andrej Romanov, Michael Bach, Shan Yang, Fabian C Franzeck, Gregor Sommer, Constantin Anastasopoulos, Jens Bremerich, Bram Stieltjes, Thomas Weikert, Alexander Walter Sauter. Diagnostics (Basel) 2021
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Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA.
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Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans.
Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken. IEEE Trans Med Imaging 2020
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Fully Automated Pulmonary Lobar Segmentation: Influence of Different Prototype Software Programs onto Quantitative Evaluation of Chronic Obstructive Lung Disease.
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Longitudinal Assessment of COVID-19 Using a Deep Learning-based Quantitative CT Pipeline: Illustration of Two Cases.
Yukun Cao, Zhanwei Xu, Jianjiang Feng, Cheng Jin, Xiaoyu Han, Hanping Wu, Heshui Shi. Radiol Cardiothorac Imaging 2020
Yukun Cao, Zhanwei Xu, Jianjiang Feng, Cheng Jin, Xiaoyu Han, Hanping Wu, Heshui Shi. Radiol Cardiothorac Imaging 2020
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Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach.
Lu Huang, Rui Han, Tao Ai, Pengxin Yu, Han Kang, Qian Tao, Liming Xia. Radiol Cardiothorac Imaging 2020
Lu Huang, Rui Han, Tao Ai, Pengxin Yu, Han Kang, Qian Tao, Liming Xia. Radiol Cardiothorac Imaging 2020
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Quantitative computed tomography analysis for stratifying the severity of Coronavirus Disease 2019.
Cong Shen, Nan Yu, Shubo Cai, Jie Zhou, Jiexin Sheng, Kang Liu, Heping Zhou, Youmin Guo, Gang Niu. J Pharm Anal 2020
Cong Shen, Nan Yu, Shubo Cai, Jie Zhou, Jiexin Sheng, Kang Liu, Heping Zhou, Youmin Guo, Gang Niu. J Pharm Anal 2020
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Coronavirus Disease 2019: Initial Detection on Chest CT in a Retrospective Multicenter Study of 103 Chinese Patients.
Zeying Wen, Yonge Chi, Liang Zhang, Huan Liu, Kun Du, Zhengxing Li, Jie Chen, Liuhui Cheng, Daoqing Wang. Radiol Cardiothorac Imaging 2020
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Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence.
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Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem.
Johannes Hofmanninger, Forian Prayer, Jeanny Pan, Sebastian Röhrich, Helmut Prosch, Georg Langs. Eur Radiol Exp 2020
Johannes Hofmanninger, Forian Prayer, Jeanny Pan, Sebastian Röhrich, Helmut Prosch, Georg Langs. Eur Radiol Exp 2020
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One-Year Multidisciplinary Follow-Up of Patients With COVID-19 Requiring Invasive Mechanical Ventilation.
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Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases.
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Francesco Rizzetto, Francesca Calderoni, Cristina De Mattia, Arianna Defeudis, Valentina Giannini, Simone Mazzetti, Lorenzo Vassallo, Silvia Ghezzi, Andrea Sartore-Bianchi, Silvia Marsoni,[...]. Eur Radiol Exp 2020
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SU-E-J-106: Atlas-Based Segmentation: Evaluation of a Multi-Atlas Approach for Lung Cancer.
S Pirozzi, M Horvat, J Piper, A Nelson. Med Phys 2012
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Quantitative assessment of lung involvement on chest CT at admission: Impact on hypoxia and outcome in COVID-19 patients.
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Residual lung damage following ARDS in COVID-19 ICU survivors.
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Advances in Auto-Segmentation.
Carlos E Cardenas, Jinzhong Yang, Brian M Anderson, Laurence E Court, Kristy B Brock. Semin Radiat Oncol 2019
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The internet analysis tools registry: a public resource for image analysis.
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Radiomics feature reproducibility under inter-rater variability in segmentations of CT images.
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Using Statistical Measures and Density Maps Generated From Chest Computed Tomography Scans to Identify and Monitor COVID-19 Cases in Radiation Oncology Rapidly.
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Clinical and epidemiological characteristics of 1420 European patients with mild-to-moderate coronavirus disease 2019.
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Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model.
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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department.
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Guidelines and evaluation of clinical explainable AI in medical image analysis.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.