| |
Original Artikel |
Journal |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
Journal of Medical Imaging |
2024―Dez―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 |
| 2 |
[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 |
| 3 |
[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 |
| 4 |
[GO] |
Journal of Medical Imaging |
2023―Dez―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 |
| 5 |
[GO] |
Journal of Applied Remote Sensing |
2023―Okt―09 |
Convolutional neural network-based crowd detection for COVID-19 social distancing protocol from unmanned aerial vehicles onboard camera |
Leonard Matheus Wastupranata, Rinaldi Munir |
| 6 |
[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 |
| 7 |
[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, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee |
| 8 |
[GO] |
Journal of Electronic Imaging |
2023―Mai―18 |
Targeted self-supervised attention network for coronavirus disease 2019 detection |
Weixin Ding, Wenbo Yu |
| 9 |
[GO] |
Journal of Applied Remote Sensing |
2022―Dez―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, Cuiping Wang, Yiqiang Shi, Yingfeng Chen, Guoqiang Chen, Shanhong Liu, Xiang Gao |
| 10 |
[GO] |
Journal of Medical Imaging |
2022―Dez―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 |
| 11 |
[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 |
| 12 |
[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 |
| 13 |
[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, 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 |
| 14 |
[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 |
| 15 |
[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, Sasa Grbic, Dorin Comaniciu, Sebastian Vogt, Eduardo J. Mortani Barbosa |
| 16 |
[GO] |
Journal of Biomedical Optics |
2022―Mai―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 |
| 17 |
[GO] |
Journal of Biomedical Optics |
2022―Mai―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 |
| 18 |
[GO] |
Journal of Electronic Imaging |
2022―Mrz―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 |
| 19 |
[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, 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 |
| 20 |
[GO] |
Journal of Medical Imaging |
2021―Dez―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 |
| 21 |
[GO] |
Journal of Medical Imaging |
2021―Dez―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 |
| 22 |
[GO] |
Journal of Medical Imaging |
2021―Nov―03 |
Medical imaging of COVID-19 |
Maryellen L. Giger |
| 23 |
[GO] |
Journal of Medical Imaging |
2021―Okt―21 |
Detection of COVID-19 from chest x-ray images using transfer learning |
Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eranga Ukwatta |
| 24 |
[GO] |
Journal of Medical Imaging |
2021―Okt―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 |
| 25 |
[GO] |
Journal of Medical Imaging |
2021―Okt―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 |
| 26 |
[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 |
| 27 |
[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 |
| 28 |
[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 |
| 29 |
[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, Sanjay Mukhopadhyay, Anant Madabhushi, Dylan Rasmussen, Vidya Sankar Viswanathan, Christina Buzzy, Edana Stroberg, Eric Duval |
| 30 |
[GO] |
Journal of Medical Imaging |
2021―Mrz―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 |
| 31 |
[GO] |
Journal of Biomedical Optics |
2021―Mrz―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 |
| 32 |
[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 |
| 33 |
[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, Jeroen Desmet, Hilde Bosmans, Walter De Wever |
| 34 |
[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 |
|
| 35 |
[GO] |
Journal of Medical Imaging |
2020―Dez―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 |
| 36 |
[GO] |
Journal of Medical Imaging |
2020―Dez―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 |
| 37 |
[GO] |
Journal of Medical Imaging |
2020―Dez―01 |
Stochastic models for objects and images in oncology and virology: application to PI3K-Akt-mTOR signaling and COVID-19 disease |
|
| 38 |
[GO] |
Journal of Biomedical Optics |
2020―Okt―21 |
Perspective on the increasing role of optical wearables and remote patient monitoring in the COVID-19 era and beyond |
Darren Roblyer |
