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original article |
Journal |
Date |
Title |
Authors All Authors |
1 |
[GO] |
Journal of Medical Imaging |
2024―Aug―28 |
Use of reporting templates for chest radiographs in a coronavirus disease 2019 context: measuring concordance of radiologists with three international templates |
Sarah J. Lewis, Jayden B. Wells, Warren M Reed, Claudia Mello-Thoms, Peter A O’Reilly, Marion Dimigen |
2 |
[GO] |
Journal of Electronic Imaging |
2024―Feb―14 |
U-Former: COVID-19 lung infection segmentation based on convolutional neural network and transformer |
Tianyu Zhou, Bobo Lian, Chenjian Wu, Hong Chen, Minxin Chen |
3 |
[GO] |
Journal of Medical Imaging |
2023―Dec―28 |
Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors |
Mena Shenouda, Isabella Flerlage, Aditi Kaveti, Maryellen L. Giger, Samuel G. Armato |
4 |
[GO] |
Journal of Applied Remote Sensing |
2023―Oct―09 |
Convolutional neural network-based crowd detection for COVID-19 social distancing protocol from unmanned aerial vehicles onboard camera |
Leonard Matheus Wastupranata, Rinaldi Munir |
5 |
[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 |
6 |
[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) Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee |
7 |
[GO] |
Journal of Electronic Imaging |
2023―May―18 |
Targeted self-supervised attention network for coronavirus disease 2019 detection |
Weixin Ding, Wenbo Yu |
8 |
[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) Cuiping Wang, Yiqiang Shi, Yingfeng Chen, Guoqiang Chen, Shanhong Liu, Xiang Gao |
9 |
[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) Philip J. Sayre, Byeong Y. Lee, Venkatesh Mani, Thomas C. Friedrich, David H. O’Connor, Courtney L. Finch, Gabriella Worwa, Irwin M. Feuerstein, Jens H. Kuhn, Jeffrey Solomon |
10 |
[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 |
11 |
[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 |
12 |
[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) Cato Chan, Barry D. Pressman, Peter Julien, Peter Chen, Judit Simon, Pal Maurovich-Horvat, Nicola Gaibazzi, Udit Thakur, Elisabetta Mancini, Cecilia Agalbato, Jiro Munechika, Hidenari Matsumoto, Roberto Menè, Gianfranco Parati, Franco Cernigliaro, Nitesh Nerlekar, Camilla Torlasco, Gianluca Pontone, Damini Dey, Piotr Slomka |
13 |
[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 |
14 |
[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) Sasa Grbic, Dorin Comaniciu, Sebastian Vogt, Eduardo J. Mortani Barbosa |
15 |
[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 |
16 |
[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 |
17 |
[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 |
18 |
[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) Arthur Plante, Mame-Kany Diop, Tien Nguyen, Amélie St-Georges-Robillard, Nassim Ksantini, Julie Lanthier, Antoine Filiatrault, Guillaume Sheehy, Gabriel Beaudoin, Caroline Quach, Dominique Trudel, Frédéric Leblond |
19 |
[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 |
20 |
[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) William P. Segars, Ehsan Samei |
21 |
[GO] |
Journal of Medical Imaging |
2021―Nov―03 |
Medical imaging of COVID-19 |
Maryellen L. Giger |
22 |
[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 |
23 |
[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 |
24 |
[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 |
25 |
[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 |
26 |
[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 |
27 |
[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 |
28 |
[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) Sanjay Mukhopadhyay, Anant Madabhushi, Dylan Rasmussen, Vidya Sankar Viswanathan, Christina Buzzy, Edana Stroberg, Eric Duval |
29 |
[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) Tomas Gonzalez Cano, Babak Shadgan, Timothy Quang, Ravi Malpani, Amir H. Gandjbakhche |
30 |
[GO] |
Journal of Biomedical Optics |
2021―Mar―13 |
Globally deployed COVID-19 fever screening devices using infrared thermographs consistently normalize high readings to afebrile range |
Conor Healy, Zachary Segal, Chris Hinnerichs, Ethan Ace, Derek Ward, John Honovich |
31 |
[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 |
32 |
[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) Jeroen Desmet, Hilde Bosmans, Walter De Wever |
33 |
[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 |
|
34 |
[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 |
35 |
[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 |
36 |
[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 |
|
37 |
[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 |