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original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2026―Jul―07 |
Comparison of chest X-ray radiography AI model to comorbidities for predicting intensive care unit admission for COVID-19 |
Heather M. Whitney, Hui Li, Karen Drukker, Maryellen L. Giger |
| 2 |
[GO] |
2026―Jun―18 |
DDARes-U2Net: a dual-decoder adversarial residual U2Net algorithm for segmentation of COVID-19 pneumonia lesions |
Xiao Li, Fujiao Ju, Yifei Xu, Haoran Chen |
| 3 |
[GO] |
2024―Dec―26 |
Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs |
Mena Shenouda, Heather M. Whitney, Maryellen L. Giger, Samuel G. Armato |
| 4 |
[GO] |
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 |
| 5 |
[GO] |
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 |
| 6 |
[GO] |
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 |
| 7 |
[GO] |
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, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee |
| 8 |
[GO] |
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, 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 |
| 9 |
[GO] |
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, 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 |
| 10 |
[GO] |
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, Sasa Grbic, Dorin Comaniciu, Sebastian Vogt, Eduardo J. Mortani Barbosa |
| 11 |
[GO] |
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 |
| 12 |
[GO] |
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, William P. Segars, Ehsan Samei |
| 13 |
[GO] |
2021―Nov―03 |
Medical imaging of COVID-19 |
Maryellen L. Giger |
| 14 |
[GO] |
2021―Oct―21 |
Detection of COVID-19 from chest x-ray images using transfer learning |
Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eranga Ukwatta |
| 15 |
[GO] |
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 |
| 16 |
[GO] |
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 |
| 17 |
[GO] |
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 |
| 18 |
[GO] |
2021―Sep―17 |
Deep CNN models for predicting COVID-19 in CT and x-ray images |
Ahmad Chaddad, Lama Hassan, Christian Desrosiers |
| 19 |
[GO] |
2021―Jul―24 |
3D CNN classification model for accurate diagnosis of coronavirus disease 2019 using computed tomography images |
Lifan Yi, Yandong Guo, Xuan Pei |
| 20 |
[GO] |
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, Sanjay Mukhopadhyay, Anant Madabhushi, Dylan Rasmussen, Vidya Sankar Viswanathan, Christina Buzzy, Edana Stroberg, Eric Duval |
| 21 |
[GO] |
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, Tomas Gonzalez Cano, Babak Shadgan, Timothy Quang, Ravi Malpani, Amir H. Gandjbakhche |
| 22 |
[GO] |
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 |
| 23 |
[GO] |
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, Jeroen Desmet, Hilde Bosmans, Walter De Wever |
| 24 |
[GO] |
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 |
|
| 25 |
[GO] |
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 |
| 26 |
[GO] |
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 |
| 27 |
[GO] |
2020―Dec―01 |
Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease |
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