Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images-Reference-Cited by-同舟云学术

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Multi-task driven explainable diagnosis of COVID-19 using chest X-ray images

Published:2022-02 Issue: Volume:122 Page:108243
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Malhotra Aakarsh,Mittal Surbhi,Majumdar Puspita,Chhabra Saheb,Thakral Kartik,Vatsa Mayank,Singh Richa,Chaudhury Santanu,Pudrod Ashwin,Agrawal Anjali

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

1. A. Schiffmann, World COVID-19 Stats, 2020, (https://ncov2019.live/). [Accessed: 6-March-2021].

2. Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia;Pan;Radiology,2020

3. T.T. Nguyen, Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions, Preprint, 10.13140/RG.2.2.36491.23846 10 (2020).

4. COVID-19: automatic detection from x-ray images utilizing transfer learning with convolutional neural networks;Apostolopoulos;Phys. Eng. Sci. Med.,2020

5. MobileNetV2: inverted residuals and linear bottlenecks;Sandler,2018

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1. LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection;Biomedical Signal Processing and Control;2025-01

2. Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection;Computers in Biology and Medicine;2024-11

3. Centralized and Federated Learning for COVID-19 Detection With Chest X-Ray Images: Implementations and Analysis;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

4. Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention;IEEE Transactions on Medical Imaging;2024-06

5. Machine Learning for X-ray and CT-based COVID-19 Diagnosis;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

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