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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2026―Apr―22 |
Augmented Artificial Intelligence Based Diagnosis of COVID-19 With Synthesised Computed Tomography Images |
SureshKumar M, Varalakshmi Perumal, Vasumathi Narayanan, Sakthi Jaya Sundar Rajasekar |
| 2 |
[GO] |
2025―Jan―31 |
From pixels to prognosis: Attention-CNN model for COVID-19 diagnosis using chest CT images |
Suba Suseela, Nita Parekh |
| 3 |
[GO] |
2024―Sep―26 |
Advancing precision in medical image segmentation: A performance analysis of loss functions for COVID-19 lung infection segmentation in computed tomography images |
Emilio Delgado, Roberto Rodriguez-Echeverria, Antonio Jesús Fernández-García, Juan D. Gutiérrez, Miguel Ángel Suero-Rodrigo |
| 4 |
[GO] |
2024―Apr―24 |
An effective screening of COVID-19 pneumonia by employing chest X-ray segmentation and attention-based ensembled classification |
Abu Sayeed, Nasif Osman Khansur, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, Salem A. Alyami, AKM Azad, Mohammad Ali Moni |
| 5 |
[GO] |
2024―Mrz―14 |
Interpretable vision transformer based on prototype parts for COVID-19 detection |
Yang Xu, Zuqiang Meng |
| 6 |
[GO] |
2023―Jul―28 |
An efficient deep multi-task learning structure for covid-19 disease |
Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
| 7 |
[GO] |
2023―Mai―31 |
Deep learning-based COVID-19 diagnosis using CT scans with laboratory and physiological parameters |
Humam Adnan Sameer, Ammar Hussein Mutlag, Sadik Kamel Gharghan |
| 8 |
[GO] |
2023―Jan―03 |
Analysis of lung scan imaging using deep multi-task learning structure for Covid-19 disease |
Shirin Kordnoori, Malihe Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
| 9 |
[GO] |
2022―Nov―24 |
DCACorrCapsNet: A deep channel-attention correlative capsule network for COVID-19 detection based on multi-source medical images |
Aite Zhao, Huimin Wu, Ming Chen, Nana Wang |
| 10 |
[GO] |
2022―Sep―24 |
LW-CovidNet: Automatic covid-19 lung infection detection from chest X-ray images |
Noor Ahmed, Xin Tan, Lizhuang Ma |
| 11 |
[GO] |
2022―Mrz―16 |
A COVID-19 CXR image recognition method based on MSA-DDCovidNet |
Wei Wang, Wendi Huang, Xin Wang, Peng Zhang, Nian Zhang |
| 12 |
[GO] |
2021―Nov―19 |
A coarse-refine segmentation network for COVID-19 CT images |
Ziwang Huang, Liang Li, Xiang Zhang, Ying Song, Jianwen Chen, Huiying Zhao, et al. (+5) Yutian Chong, Hejun Wu, Yuedong Yang, Jun Shen, Yunfei Zha |
| 13 |
[GO] |
2021―Mai―05 |
A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images |
Fuli Yu, Yu Zhu, Xiangxiang Qin, Ying Xin, Dawei Yang, Tao Xu |
| 14 |
[GO] |
2021―Mrz―08 |
COVID-19 disease severity assessment using CNN model |
Emrah Irmak |
| 15 |
[GO] |
2021―Feb―24 |
MaskHunter: real-time object detection of face masks during the COVID-19 pandemic |
Zhihao Cao, Mingfeng Shao, Li Xu, Shaomin Mu, Hongchun Qu |
| 16 |
[GO] |
2021―Feb―20 |
Ensemble learning-based COVID-19 detection by feature boosting in chest X-ray images |
Kamini Upadhyay, Monika Agrawal, Desh Deepak |
