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COVID answers in Scientific Journals all over the world

Publishing House: SPIE - International Society for Optical Engineering

32 Results       Page 1

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  original article Journal Date Title Authors All Authors
1 [GO] Journal of Medical Imaging 2023―Aug―21 Predicting intensive care need for COVID-19 patients using deep learning on chest radiography Hui Li, Karen Drukker, Qiyuan Hu, Heather M. Whitney, Jordan D. Fuhrman, Maryellen L. Giger
2 [GO] Journal of Medical Imaging 2023―Jun―28 Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, et al. (+3)
3 [GO] Journal of Electronic Imaging 2023―May―18 Targeted self-supervised attention network for coronavirus disease 2019 detection Weixin Ding, Wenbo Yu
4 [GO] Journal of Applied Remote Sensing 2022―Dec―29 Impact of decreased aerosols during the COVID-19 pandemic on winter wheat gross primary productivity and water use efficiency Xiaofen Bai, Xiaofeng Lin, Zhongyong Xiao, Xiaokang Zhou, Jiongfeng Chen, Jinghan Xie, et al. (+6)
5 [GO] Journal of Medical Imaging 2022―Dec―08 Toward the determination of sensitive and reliable whole-lung computed tomography features for robust standard radiomics and delta-radiomics analysis in a nonhuman primate model of coronavirus disease 2019 Marcelo A. Castro, Syed Reza, Winston T. Chu, Dara Bradley, Ji Hyun Lee, Ian Crozier, et al. (+10)
6 [GO] Journal of Electronic Imaging 2022―Nov―29 Intelligent diagnosis of coronavirus with computed tomography images using a deep learning model Marko Sarac, Milos Mravik, Dijana Jovanovic, Ivana Strumberger, Miodrag Zivkovic, Nebojsa Bacanin
7 [GO] Journal of Electronic Imaging 2022―Sep―22 Review of artificial intelligence-assisted COVID-19 detection solutions using radiological images Kolsoum Yousefpanah, Mohammad Javad Ebadi
8 [GO] Journal of Medical Imaging 2022―Sep―06 Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks Aditya Killekar, Kajetan Grodecki, Andrew Lin, Sebastien Cadet, Priscilla McElhinney, Aryabod Razipour, et al. (+20)
9 [GO] Optical Engineering 2022―Jul―09 Undergraduate program in nanoscience and nanoengineering: five years after the National Science Foundation grant including two pandemic years Svetlana G. Lukishova, Nicholas P. Bigelow
10 [GO] Journal of Medical Imaging 2022―Jun―17 Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19 Hae-Min Jung, Rochelle Yang, Warren B. Gefter, Florin C. Ghesu, Boris Mailhe, Awais Mansoor, et al. (+4)
11 [GO] Journal of Biomedical Optics 2022―May―28 Fluorescence signatures of SARS-CoV-2 spike S1 proteins and a human ACE-2: excitation-emission maps and fluorescence lifetimes Jonas Grzesiak, Lea Fellner, Karin Grünewald, Christoph Kölbl, Arne Walter, Reinhold Horlacher, Frank Duschek
12 [GO] Journal of Biomedical Optics 2022―May―18 COVID-19 classification using thermal images Martha Rebeca Canales Fiscal, Victor Treviño, Luis Javier Ramírez Treviño, Rocio Ortiz López, Servando Cardona Huerta, Victor Javier Lara-Díaz, José Gerardo Tamez Peña
13 [GO] Journal of Electronic Imaging 2022―Mar―02 COVID-19 detection using machine learning: a large scale assessment of x-ray and CT image datasets Md. Fahimuzzman Sohan, Anas Basalamah, Md. Solaiman
14 [GO] Journal of Biomedical Optics 2022―Feb―09 Saliva-based detection of COVID-19 infection in a real-world setting using reagent-free Raman spectroscopy and machine learning Katherine Ember, François Daoust, Myriam Mahfoud, Frédérick Dallaire, Esmat Zamani Ahmad, Trang Tran, et al. (+12)
15 [GO] Journal of Medical Imaging 2021―Dec―21 Evaluation of multiple open-source deep learning models for detecting and grading COVID-19 on chest radiographs Alexander Risman, Miguel Trelles, David W. Denning
16 [GO] Journal of Medical Imaging 2021―Dec―01 Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental training Rafael B. Fricks, Francesco Ria, Hamid Chalian, Pegah Khoshpouri, Ehsan Abadi, Lorenzo Bianchi, et al. (+2)
17 [GO] Journal of Medical Imaging 2021―Nov―03 Medical imaging of COVID-19 Maryellen L. Giger
18 [GO] Journal of Medical Imaging 2021―Oct―21 Detection of COVID-19 from chest x-ray images using transfer learning Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eranga Ukwatta
19 [GO] Journal of Medical Imaging 2021―Oct―15 COVID-19 detection method based on SVRNet and SVDNet in lung x-rays Kedong Rao, Ziqi Hu, Chang Wen, Kai Xie, Xiaolong Guo, Jianbiao He
20 [GO] Journal of Medical Imaging 2021―Oct―01 Lessons learned in transitioning to AI in the medical imaging of COVID-19 Issam M. El Naqa, Qiyuan Hu, Weijie Chen, Hui Li, Jordan D. Fuhrman, Naveena Gorre, Maryellen L. Giger
21 [GO] Journal of Medical Imaging 2021―Sep―28 Role of standard and soft tissue chest radiography images in deep-learning-based early diagnosis of COVID-19 Qiyuan Hu, Karen Drukker, Maryellen L. Giger
22 [GO] Journal of Medical Imaging 2021―Sep―17 Deep CNN models for predicting COVID-19 in CT and x-ray images Ahmad Chaddad, Lama Hassan, Christian Desrosiers
23 [GO] Journal of Medical Imaging 2021―Jul―24 3D CNN classification model for accurate diagnosis of coronavirus disease 2019 using computed tomography images Lifan Yi, Yandong Guo, Xuan Pei
24 [GO] Journal of Medical Imaging 2021―Jul―13 Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings Germán Corredor, Paula Toro, Kaustav Bera, Pingfu Fu, Lisa M. Barton, Hannah L. Gilmore, et al. (+7)
25 [GO] Journal of Medical Imaging 2021―Mar―26 Review of the efficacy of infrared thermography for screening infectious diseases with applications to COVID-19 Kosar Khaksari, Thien Nguyen, Brian Y. Hill, John Perrault, Viswanath Gorti, Emily Blick, et al. (+5)
26 [GO] Journal of Medical Imaging 2021―Jan―13 COVID-19 detection and heatmap generation in chest x-ray images Worapan Kusakunniran, Punyanuch Borwarnginn, Krittanat Sutassananon, Trongtum Tongdee, Pairash Saiviroonporn, Sarattha Karnjanapreechakorn, Thanongchai Siriapisith
27 [GO] Journal of Medical Imaging 2021―Jan―07 Methodology to create 3D models of COVID-19 pathologies for virtual clinical trials Sunay Rodríguez Pérez, Johan Coolen, Lara Struelens, Nicholas W. Marshall, Lesley Cockmartin, Charlotte Biebaû, et al. (+3)
28 [GO] Journal of Medical Imaging 2021―Jan―05 Publisher’s Note: Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease
29 [GO] Journal of Medical Imaging 2020―Dec―29 Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids Jordan D. Fuhrman, Fleming Y. Lure, Zhe Luo, Maryellen L. Giger, Zegang Dong, Jun Chen
30 [GO] Journal of Medical Imaging 2020―Dec―04 Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease Harrison H. Barrett, Luca Caucci
31 [GO] Journal of Medical Imaging 2020―Dec―01 Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease
32 [GO] Journal of Biomedical Optics 2020―Oct―21 Perspective on the increasing role of optical wearables and remote patient monitoring in the COVID-19 era and beyond Darren Roblyer
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32 Results       Page 1



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