| |
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2024―Apr―09 |
DDA-SSNets: Dual decoder attention-based semantic segmentation networks for COVID-19 infection segmentation and classification using chest X-Ray images |
Anandbabu Gopatoti, Ramya Jayakumar, Poornaiah Billa, Vijayalakshmi Patteeswaran |
| 2 |
[GO] |
2024―Jan―05 |
Diagnosis of Covid-19 from CT slices using Whale Optimization Algorithm, Support Vector Machine and Multi-Layer Perceptron |
R. Betshrine Rachel, H. Khanna Nehemiah, Vaibhav Kumar Singh, Rebecca Mercy Victoria Manoharan |
| 3 |
[GO] |
2023―Apr―18 |
Dual attention fusion UNet for COVID-19 lesion segmentation from CT images |
Yinjin Ma, Yajuan Zhang, Lin Chen, Qiang Jiang, Biao Wei |
| 4 |
[GO] |
2023―Feb―28 |
MCSC-Net: COVID-19 detection using deep-Q-neural network classification with RFNN-based hybrid whale optimization |
Gerard Deepak, M. Madiajagan, Sanjeev Kulkarni, Ahmed Najat Ahmed, Anandbabu Gopatoti, Veeraswamy Ammisetty |
| 5 |
[GO] |
2022―Mai―27 |
An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR |
Yan Zhuang, Md Fashiar Rahman, Yuxin Wen, Michael Pokojovy, Peter McCaffrey, Alexander Vo, et al. (+4) Eric Walser, Scott Moen, Honglun Xu, Tzu-Liang (Bill) Tseng |
| 6 |
[GO] |
2022―Feb―22 |
Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection |
Anandbabu Gopatoti, P. Vijayalakshmi |
| 7 |
[GO] |
2021―Dez―14 |
Automatic detection of COVID-19 in chest radiographs using serially concatenated deep and handcrafted features |
S. Rajesh Kannan, J. Sivakumar, P. Ezhilarasi |
| 8 |
[GO] |
2021―Nov―30 |
UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients |
Chomsin S. Widodo, Agus Naba, Muhammad M. Mahasin, Yuyun Yueniwati, Terawan A. Putranto, Pangeran I. Patra |
| 9 |
[GO] |
2021―Nov―26 |
Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs |
Asma Naseer, Maria Tamoor, Arifah Azhar |
| 10 |
[GO] |
2021―Okt―29 |
Classification by a stacking model using CNN features for COVID-19 infection diagnosis |
Yavuz Selim Taspinar, Ilkay Cinar, Murat Koklu |
| 11 |
[GO] |
2021―Aug―10 |
Longitudinal changes of laboratory measurements after discharged from hospital in 268 COVID-19 pneumonia patients |
DeyYang Huang, Hengyuan Miao, Ziqi Zhang, Yanhong Yang, Lieguang Zhang, Fleming Y.M. Lure, et al. (+5) Zixian Wang, Stefan Jaeger, Lin Guo, Tao Xu, Jinxin Liu |
| 12 |
[GO] |
2021―Feb―19 |
Screening of COVID-19 based on the extracted radiomics features from chest CT images |
Seyed Masoud Rezaeijo, Razzagh Abedi-Firouzjah, Mohammadreza Ghorvei, Samad Sarnameh |
| 13 |
[GO] |
2021―Feb―10 |
Development of a novel computational method using computed tomography images for the early detection and severity classification of COVID-19 cases |
M.A. Abbas, M.S. Alqahtani, A.J. Alkulib, H.M. Almohiy, R.F. Alshehri, E.A. Alamri, A.A. Alamri |
| 14 |
[GO] |
2021―Jan―19 |
Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison |
Prabira Kumar Sethy, Santi Kumari Behera, Komma Anitha, Chanki Pandey, M.R. Khan |
| 15 |
[GO] |
2021―Jan―13 |
COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader |
Çağín Polat, Onur Karaman, Ceren Karaman, Güney Korkmaz, Mehmet Can Balcí, Sevim Ercan Kelek |
| 16 |
[GO] |
2020―Nov―03 |
Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections |
Yanhong Yang, Fleming Y.M. Lure, Hengyuan Miao, Ziqi Zhang, Stefan Jaeger, Jinxin Liu, Lin Guo |
| 17 |
[GO] |
2020―Sep―08 |
Evaluation of dynamic lung changes during coronavirus disease 2019 (COVID-19) by quantitative computed tomography |
Cong Shen, Nan Yu, Shubo Cai, Jie Zhou, Jiexin Sheng, Kang Liu, et al. (+2) Heping Zhou, Youmin Guo |
| 18 |
[GO] |
2020―Aug―11 |
A retrospective study of the initial chest CT imaging findings in 50 COVID-19 patients stratified by gender and age |
Qianbiao Gu, Xin Ouyang, An Xie, Xianzheng Tan, Jianbin Liu, Feng Huang, Peng Liu |
| 19 |
[GO] |
2020―Aug―11 |
Detection of coronavirus disease from X-ray images using deep learning and transfer learning algorithms |
Saleh Albahli, Waleed Albattah |
| 20 |
[GO] |
2020―Aug―04 |
Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches |
Md Mamunur Rahaman, Chen Li, Yudong Yao, Frank Kulwa, Mohammad Asadur Rahman, Qian Wang, et al. (+4) Shouliang Qi, Fanjie Kong, Xuemin Zhu, Xin Zhao |
| 21 |
[GO] |
2020―Jul―31 |
Dynamic CT assessment of disease change and prognosis of patients with moderate COVID-19 pneumonia |
Hua Zhang, Xiaohong Liu, Peng Yu, Mingyuan Cheng, Weiting Wang, Yipeng Sun, et al. (+2) Bingliang Zeng, Bing Fan |
| 22 |
[GO] |
2020―Jul―16 |
Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: Three case reports |
Ying Su, Yi Han, Jie Liu, Yue Qiu, Qian Tan, Zhen Zhou, et al. (+5) Yi-zhou Yu, Jun Chen, Maryellen L Giger, Fleming Y. M Lure, Zhe Luo |
| 23 |
[GO] |
2020―Jun―09 |
Clinical and radiological features of novel coronavirus pneumonia |
Qiuting Zheng, Yibo Lu, Fleming Lure, Stefan Jaeger, Puxuan Lu |
| 24 |
[GO] |
2020―Mai―26 |
Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge |
Jiangping Wei, Hong Yang, Pinggui Lei, Bing Fan, Yingying Qiu, Bingliang Zeng, et al. (+4) Peng Yu, Jian Lv, Yinchao Jian, Chengfeng Wan |
| 25 |
[GO] |
2020―Apr―07 |
Clinical and computed tomographic (CT) images characteristics in the patients with COVID-19 infection: What should radiologists need to know? |
Pinggui Lei, Zhaoshu Huang, Guoli Liu, Pingxian Wang, Wen Song, Jujiang Mao, et al. (+4) Guiquan Shen, Shi Zhou, Wei Qian, Jun Jiao |
