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original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2025―Aug―14 |
Physiology based unsupervised learning for segmentation of COVID-19 lesions in chest 3D CT scans |
Cheng Wang, Zhiqiang Cai, Yao Zhang, Shuqing Yang |
| 2 |
[GO] |
2024―Feb―09 |
Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset |
Isaac Shiri, Yazdan Salimi, Nasim Sirjani, Behrooz Razeghi, Sara Bagherieh, Masoumeh Pakbin, et al. (+28) Zahra Mansouri, Ghasem Hajianfar, Atlas Haddadi Avval, Dariush Askari, Mohammadreza Ghasemian, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Salar Bijari, Sahar Sayfollahi, Mohammad Reza Atashzar, Mohammad Hasanian, Alireza Shahhamzeh, Arash Teimouri, Neda Goharpey, Hesamaddin Shirzad-Aski, Jalal Karimi, Amir Reza Radmard, Kiara Rezaei-Kalantari, Mostafa Ghelich Oghli, Mehrdad Oveisi, Alireza Vafaei Sadr, Slava Voloshynovskiy, Habib Zaidi |
| 3 |
[GO] |
2023―Jul―07 |
Self-reported COVID-19 infection, and illness severity associated with a large professional-society meeting of the AAPM in 2022 |
Wesley Talcott, Eric Ford, Jennifer Johnson, Holly Lincoln, Suzanne Evans |
| 4 |
[GO] |
2022―Sep―04 |
A novel adaptive cubic quasi-newton optimizer for deep learning based medical image analysis tasks, validated on detection of COVID-19 and segmentation for COVID-19 lung infection, liver tumor, and optic disc/cup |
Yan Liu, Maojun Zhang, Zhiwei Zhong, Xiangrong Zeng |
| 5 |
[GO] |
2022―Aug―02 |
COVID-19 CT image segmentation based on improved Res2Net |
Shangwang Liu, Xiufang Tang, Tongbo Cai, Yangyang Zhang, Changgeng Wang |
| 6 |
[GO] |
2022―Jul―15 |
Prediction of potential severe COVID-19 patients based on CT radiomics: a retrospective study |
Feng Xiao, Rongqing Sun, Wenbo Sun, Dan Xu, Lan Lan, Huan Li, et al. (+2) Huan Liu, Haibo Xu |
| 7 |
[GO] |
2022―Jun―11 |
Artificial intelligence-based CT metrics used in predicting clinical outcome of COVID-19 in young and middle-aged adults |
Yu Xudong, Liu Weihong, Xia Feng, Li Yanli, Lan Weishun, Zhang Fengjun, et al. (+9) Gao Jiao, Li Jiawei, Huang Xiaolu, Huang Huailiang, Liang Jianye, Zeng Sihui, Xie Chuanmiao, Li Hanhui, Mao Liang |
| 8 |
[GO] |
2022―Apr―09 |
Label-Free Covid-19 lesion segmentation based on synthetic healthy lung image subtraction |
Chengyijue Fang, Yingao Liu, Ying Liu, Mengqiu Liu, Xiaohui Qiu, Yang Li, et al. (+2) Jie Wen, Yidong Yang |
| 9 |
[GO] |
2022―Mar―19 |
An original deep learning model using limited data for COVID-19 discrimination: A multi-center study |
Fangyi Xu, Kaihua Lou, Chao Chen, Qingqing Chen, Dawei Wang, Jiangfen Wu, et al. (+12) Wenchao Zhu, Weixiong Tan, Yong Zhou, Yongjiu Liu, Bing Wang, Xiaoguo Zhang, Zhongfa Zhang, Jianjun Zhang, Mingxia Sun, Guohua Zhang, Guojiao Dai, Hongjie Hu |
| 10 |
[GO] |
2022―Mar―18 |
HFCF-Net: A hybrid-feature cross fusion network for COVID-19 lesion segmentation from CT volumetric images |
Yanting Wang, Qingyu Yang, Lixia Tian, Xuezhong Zhou, Islem Rekik, Huifang Huang |
| 11 |
[GO] |
2022―Mar―08 |
A radiomics-boosted deep-learning model for COVID-19 and Non-COVID-19 pneumonia classification using chest X-ray images |
Zongsheng Hu, Zhenyu Yang, Kyle J. Lafata, Fang-Fang Yin, Chunhao Wang |
| 12 |
[GO] |
2021―Dec―24 |
Automatic COVID-19 diagnosis based on chest radiography and deep learning - success story or dataset bias? |
Jennifer Dhont, Cecile Wolfs, Frank Verhaegen |
| 13 |
[GO] |
2021―Nov―19 |
A review of explainable and interpretable AI with applications in COVID-19 imaging |
Jordan D Fuhrman, Naveena Gorre, Qiyuan Hu, Hui Li, Issam El Naqa, Maryellen L Giger |
| 14 |
[GO] |
2021―Sep―16 |
CARes-UNet: Content-Aware residual UNet for lesion segmentation of COVID-19 from chest CT images |
Xinhua Xu, Yuhang Wen, Lu Zhao, Yi Zhang, Youjun Zhao, Zixuan Tang, et al. (+2) Ziduo Yang, Calvin Yu-Chian Chen |
| 15 |
[GO] |
2021―Jun―12 |
COVID-19 Diagnosis on CT Scan Images Using a Generative Adversarial Network and Concatenated Feature Pyramid Network with an Attention Mechanism |
Zonggui Li, Junhua Zhang, Bo Li, Xiaoying Gu, Xudong Luo |
| 16 |
[GO] |
2021―Mar―29 |
A Cascade-SEME network for COVID-19 detection in chest c-ray images |
Dailin Lv, Yaqi Wang, Shuai Wang, Qianni Zhang, Wuteng Qi, Yunxiang Li, Lingling Sun |
| 17 |
[GO] |
2020―Dec―24 |
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation |
Jun Ma, Yixin Wang, Xingle An, Cheng Ge, Ziqi Yu, Jianan Chen, et al. (+8) Qiongjie Zhu, Guoqiang Dong, Jian He, Zhiqiang He, Tianjia Cao, Yuntao Zhu, Ziwei Nie, Xiaoping Yang |
| 18 |
[GO] |
2020―Nov―23 |
Abnormal Lung Quantification in Chest CT Images of COVID-19 Patients with Deep Learning and its Application to Severity Prediction |
Fei Shan, Yaozong Gao, Jun Wang, Weiya Shi, Nannan Shi, Miaofei Han, et al. (+3) Zhong Xue, Dinggang Shen, Yuxin Shi |
| 19 |
[GO] |
2020―Jul―03 |
Low dose radiation as a treatment for COVID-19 pneumonia: a threat or real opportunity? |
SMJ Mortazavi, Amirhosein Kefayat, Jing Cai |
| 20 |
[GO] |
2020―Apr―26 |
Telecommuting: a viable option for Medical Physicists amid the COVID-19 outbreak and beyond |
M.S. Holly Lincoln, Rao Khan, Jing Cai |