| |
Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2025―Nov―03 |
IGF
-
CNN
: An Optimized Deep Learning Model for Covid-19 Classification |
Vinayak Tiwari, Sidharrth Kumar Singh, Umaisa Hassan, Amit Singhal |
| 2 |
[GO] |
2025―Sep―23 |
Long COVID: Ventilation and Perfusion Are Reduced in Symptomatic Individuals Compared to Asymptomatic Patients-A V/Q Scintigraphy Study |
Jose Carlos Nóbrega Júnior, Simone Soares Brandão, James B. Fink, Daiara Xavier, Roberta Torres, Arzu Ari, et al. (+4) Caio Morais, Shirley Campos, Daniella Brandão, Armèle Dornelas de Andrade |
| 3 |
[GO] |
2024―Sep―19 |
Deciphering the Complexities of COVID-19-Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework |
Narjes Benameur, Ameni Sassi, Wael Ouarda, Ramzi Mahmoudi, Younes Arous, Mazin Abed Mohammed, et al. (+3) Chokri ben Amar, Salam Labidi, Halima Mahjoubi |
| 4 |
[GO] |
2024―Aug―14 |
Improving COVID-19 Detection Through Cooperative Deep-Learning Pipeline for Lung Semantic Segmentation in Medical Imaging |
Youssef Mourdi, Hanane Allioui, Mohamed Sadgal |
| 5 |
[GO] |
2024―Mai―29 |
SwinRes: A hybrid model that effectively diagnoses COVID-19 through x-ray lung images |
Xuanlong He, Hong Yang, Jipan Xu, Hongbo Mu |
| 6 |
[GO] |
2024―Feb―01 |
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study |
Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, et al. (+36) Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammad Reza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad-Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi |
| 7 |
[GO] |
2024―Jan―13 |
CGS-Net: A classification-guided framework for automated infection segmentation of COVID-19 from CT images |
Wen Zhou, Jihong Wang, Yuhang Wang, Zijie Liu, Chen Yang |
| 8 |
[GO] |
2023―Dez―21 |
A deep learning-based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm |
Zeeshan Ali, Muhammad Attique Khan, Ameer Hamza, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Mohammad Shabaz, Faheem Khan |
| 9 |
[GO] |
2023―Nov―24 |
Deep learning network selection and optimized information fusion for enhanced COVID-19 detection |
Muhammad Umair Ali, Amad Zafar, Jawad Tanveer, Muhammad Attique Khan, Seong Han Kim, Mashael M. Alsulami, Seung Won Lee |
| 10 |
[GO] |
2023―Sep―26 |
Distributed autoencoder classifier network for small-scale and scattered COVID-19 dataset classification |
Yuan Yang, Lin Zhang, Lei Ren, Xiaohan Wang |
| 11 |
[GO] |
2023―Sep―18 |
Deep learning for COVID-19 contamination analysis and prediction using ECG images on Raspberry Pi 4 |
Lotfi Mhamdi, Oussama Dammak, François Cottin, Imed Ben Dhaou |
| 12 |
[GO] |
2023―Jul―05 |
An efficient quantification of COVID-19 in chest CT images with improved semantic segmentation using U-Net deep structure |
Aya Nader Salama, M. A. Mohamed, Hanan M. Amer, Mohamed Maher Ata |
| 13 |
[GO] |
2023―Mai―29 |
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images |
Kenan Erdem, Mehmet Ali Kobat, Mehmet Nail Bilen, Yunus Balik, Sevim Alkan, Feyzanur Cavlak, et al. (+9) Ahmet Kursad Poyraz, Prabal Datta Barua, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Mehmet Erten, Turker Tuncer, Ru-San Tan, U. Rajendra Acharya |
| 14 |
[GO] |
2023―Mai―29 |
Fighting against COVID-19: Innovations and applications |
Yudong Zhang |
| 15 |
[GO] |
2023―Mai―22 |
Hybrid deep neural network for automatic detection of
COVID-19
using chest x-ray images |
Upendra Kumar Acharya, Mohammad Taha Ali, Mohd Kaif Ahmed, Mohd Tabish Siddiqui, Harsh Gupta, Sandeep Kumar, Ajey Shakti Mishra |
| 16 |
[GO] |
2023―Mai―01 |
Large-scaled detection of COVID-19 from X-ray using transfer learning |
Abdullahi Umar Ibrahim, Ayse Gunnay Kibarer, Fadi Al-Turjman, Serife Kaba |
| 17 |
[GO] |
2023―Feb―22 |
A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT images |
S. Jeevitha, K. Valarmathi |
| 18 |
[GO] |
2022―Mai―21 |
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features |
Gurram Sunitha, Rajesh Arunachalam, Mohammed Abd-Elnaby, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed |
| 19 |
[GO] |
2022―Mai―18 |
An effective detection of COVID-19 using adaptive dual-stage horse herd bidirectional
long short-term memory
framework |
Durga Prasad Mannepalli, Varsha Namdeo |
| 20 |
[GO] |
2022―Jan―31 |
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scans |
Thiyagarajan Padmapriya, Thiruvenkatam Kalaiselvi, Venugopal Priyadharshini |
| 21 |
[GO] |
2020―Aug―28 |
Classification of Coronavirus (
COVID
-19) from
X-ray
and
CT
images using shrunken features |
Şaban Öztürk, Umut Özkaya, Mücahid Barstuğan |
| 22 |
[GO] |
2020―Jul―02 |
The Covid-19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table |
Mohamed L Seghier |
|
