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Mapping the Landscape of Artificial Intelligence Applications against
  COVID-19

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

25 March 2020
Joseph Aylett-Bullock
A. Luccioni
K. H. Pham
C. Lam
M. Luengo-Oroz
    AI4CE
ArXivPDFHTML

Papers citing "Mapping the Landscape of Artificial Intelligence Applications against COVID-19"

39 / 39 papers shown
Title
Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
Zhijin He
Alan B. McMillan
LM&MA
58
0
0
16 Apr 2025
From Lab to Pocket: A Novel Continual Learning-based Mobile Application
  for Screening COVID-19
From Lab to Pocket: A Novel Continual Learning-based Mobile Application for Screening COVID-19
Danny Falero
Muhammad Ashad Kabir
Nusrat Homaira
23
0
0
16 Oct 2024
Transferring Domain Knowledge with (X)AI-Based Learning Systems
Transferring Domain Knowledge with (X)AI-Based Learning Systems
Philipp Spitzer
Niklas Kühl
Marc Goutier
Manuel Kaschura
G. Satzger
25
2
0
03 Jun 2024
Empowering Medical Imaging with Artificial Intelligence: A Review of
  Machine Learning Approaches for the Detection, and Segmentation of COVID-19
  Using Radiographic and Tomographic Images
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images
Sayed Amir Mousavi Mobarakeh
K. Kazemi
A. Aarabi
H. Danyali
32
2
0
13 Jan 2024
Training Novices: The Role of Human-AI Collaboration and Knowledge
  Transfer
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer
Philipp Spitzer
Niklas Kühl
Marc Goutier
23
7
0
01 Jul 2022
Forecasting new diseases in low-data settings using transfer learning
Forecasting new diseases in low-data settings using transfer learning
Kirstin Roster
C. Connaughton
F. Rodrigues
AI4TS
16
22
0
07 Apr 2022
Internationalizing AI: Evolution and Impact of Distance Factors
Internationalizing AI: Evolution and Impact of Distance Factors
Xuli Tang
Xin Li
Feicheng Ma
14
14
0
10 Nov 2021
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical
  settings
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
Yunyou Huang
Nana Wang
Suqin Tang
Li Ma
Tianshu Hao
...
Xiuxia Miao
Xianglong Guan
Ruchang Zhang
Zhifei Zhang
Jianfeng Zhan
OOD
20
0
0
09 Sep 2021
Ensuring the Inclusive Use of Natural Language Processing in the Global
  Response to COVID-19
Ensuring the Inclusive Use of Natural Language Processing in the Global Response to COVID-19
A. Luccioni
K. H. Pham
C. Lam
Joseph Aylett-Bullock
M. Luengo-Oroz
18
3
0
11 Aug 2021
Understanding Human Innate Immune System Dependencies using Graph Neural
  Networks
Understanding Human Innate Immune System Dependencies using Graph Neural Networks
Shagufta Henna
GNN
AI4CE
27
0
0
05 Aug 2021
Neural Networks for Dengue Prediction: A Systematic Review
Neural Networks for Dengue Prediction: A Systematic Review
Kirstin Roster
F. Rodrigues
20
7
0
22 Jun 2021
Explainable AI, but explainable to whom?
Explainable AI, but explainable to whom?
Julie Gerlings
Millie Søndergaard Jensen
Arisa Shollo
30
43
0
10 Jun 2021
Some Pragmatic Prevention's Guidelines regarding SARS-CoV-2 and COVID-19
  in Latin-America inspired by mixed Machine Learning Techniques and Artificial
  Mathematical Intelligence. Case Study: Colombia
Some Pragmatic Prevention's Guidelines regarding SARS-CoV-2 and COVID-19 in Latin-America inspired by mixed Machine Learning Techniques and Artificial Mathematical Intelligence. Case Study: Colombia
D. Gómez-Ramírez
Y. A. Herrera-Jaramillo
Johana C. Ortega-Giraldo
A. Ardila-Garcia
14
1
0
12 May 2021
Did Chatbots Miss Their Ápollo Moment'? A Survey of the Potential, Gaps
  and Lessons from Using Collaboration Assistants During COVID-19
Did Chatbots Miss Their Ápollo Moment'? A Survey of the Potential, Gaps and Lessons from Using Collaboration Assistants During COVID-19
Biplav Srivastava
14
0
0
27 Feb 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet
Semi-supervised Learning for COVID-19 Image Classification via ResNet
Lucy Nwuso
Xiangfang Li
Lijun Qian
Seungchan Kim
Xishuang Dong
19
5
0
27 Feb 2021
Understanding Team Collaboration in Artificial Intelligence from the
  perspective of Geographic Distance
Understanding Team Collaboration in Artificial Intelligence from the perspective of Geographic Distance
Xuli Tang
Xin Li
Ying Ding
Feicheng Ma
11
4
0
25 Dec 2020
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact
  Checking
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking
Rutvik Vijjali
Prathyush Potluri
S. Kumar
Sundeep Teki
MedIm
13
74
0
26 Nov 2020
Automatic Deep Learning System for COVID-19 Infection Quantification in
  chest CT
Automatic Deep Learning System for COVID-19 Infection Quantification in chest CT
O. Alirr
OOD
11
19
0
01 Oct 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the
  Right Direction
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction
David Leslie
19
67
0
15 Aug 2020
Considerations, Good Practices, Risks and Pitfalls in Developing AI
  Solutions Against COVID-19
Considerations, Good Practices, Risks and Pitfalls in Developing AI Solutions Against COVID-19
A. Luccioni
Joseph Aylett-Bullock
K. H. Pham
C. Lam
M. Luengo-Oroz
17
3
0
13 Aug 2020
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation
  Objectively?
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Kevin Roitero
Michael Soprano
Beatrice Portelli
Damiano Spina
V. D. Mea
G. Serra
Stefano Mizzaro
Gianluca Demartini
11
41
0
13 Aug 2020
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease
  Monitoring
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
Rula Amer
Maayan Frid-Adar
Ophir Gozes
Jannette Nassar
H. Greenspan
16
62
0
04 Aug 2020
A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic
A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic
M. Islam
Toki Tahmid Inan
Suzzana Rafi
Syeda Sabrina Akter
Iqbal H. Sarker
A. Islam
34
11
0
03 Aug 2020
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture
  for Detecting COVID-19 from Chest X-Ray Images
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
N. K. Chowdhury
Md. Muhtadir Rahman
M. A. Kabir
20
86
0
29 Jul 2020
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors
  and Efficient Neural Networks
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks
Shayan Hassantabar
Novati Stefano
Vishweshwar Ghanakota
A. Ferrari
G. Nicola
R. Bruno
I. Marino
Kenza Hamidouche
N. Jha
15
69
0
20 Jul 2020
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based
  on 3D U-Net
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net
Dominik Muller
Iñaki Soto Rey
Frank Kramer
20
70
0
24 Jun 2020
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural
  Networks
Automated Detection of COVID-19 from CT Scans Using Convolutional Neural Networks
R. Lokwani
A. Gaikwad
V. Kulkarni
Aniruddha Pant
A. Kharat
20
21
0
23 Jun 2020
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question
  Answering, and Abstractive Summarization
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization
A. Esteva
Anuprit Kale
Romain Paulus
Kazuma Hashimoto
Wenpeng Yin
Dragomir R. Radev
R. Socher
19
65
0
17 Jun 2020
The Number of Confirmed Cases of Covid-19 by using Machine Learning:
  Methods and Challenges
The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges
Amir Ahmad
S. Garhwal
S. Ray
G. Kumar
S. Malebary
O. Barukab
OOD
11
78
0
11 Jun 2020
An Unsupervised Machine Learning Approach to Assess the ZIP Code Level
  Impact of COVID-19 in NYC
An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC
Fadoua Khmaissia
P. Haghighi
A. Jayaprakash
Zhenwei Wu
Sokratis Papadopoulos
Yuan Lai
Freddy T. Nguyen
11
10
0
11 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
Delong Chen
Shunhui Ji
Fan Liu
Zewen Li
Xinyu Zhou
MedIm
21
11
0
09 Jun 2020
The challenges of deploying artificial intelligence models in a rapidly
  evolving pandemic
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
Yipeng Hu
J. Jacob
Geoffrey J. M. Parker
D. Hawkes
J. Hurst
Danail Stoyanov
OOD
16
65
0
19 May 2020
Weakly Supervised Deep Learning for COVID-19 Infection Detection and
  Classification from CT Images
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images
Shaoping Hu
Yuan Gao
Zhangming Niu
Yinghui Jiang
Lao Li
...
E. Fang
Wade Menpes-Smith
Jun Xia
Hui Ye
Guang Yang
11
318
0
14 Apr 2020
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray
  Images
DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images
Md. Rezaul Karim
Till Dohmen
Dietrich-Rebholz Schuhmann
Stefan Decker
Michael Cochez
Oya Beyan
31
89
0
09 Apr 2020
Review of Artificial Intelligence Techniques in Imaging Data
  Acquisition, Segmentation and Diagnosis for COVID-19
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
F. Shi
Jun Wang
Jun Shi
Zi-xiang Wu
Qian Wang
Zhenyu Tang
Kelei He
Yinghuan Shi
D. Shen
28
1,053
0
06 Apr 2020
Generating Similarity Map for COVID-19 Transmission Dynamics with
  Topological Autoencoder
Generating Similarity Map for COVID-19 Transmission Dynamics with Topological Autoencoder
P. Hartono
14
8
0
03 Apr 2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using
  Quantitative Features from Chest CT Images
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Zhenyu Tang
Wei-Ye Zhao
Xingzhi Xie
Zheng Zhong
F. Shi
Jun Liu
D. Shen
25
171
0
26 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
D. Shen
Yuxin Shi
102
574
0
10 Mar 2020
Abnormal respiratory patterns classifier may contribute to large-scale
  screening of people infected with COVID-19 in an accurate and unobtrusive
  manner
Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner
Yunlu Wang
Menghan Hu
Qingli Li
Xiao-Ping Zhang
Guangtao Zhai
Nan Yao
41
197
0
12 Feb 2020
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