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ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images.
In Journal of biomolecular structure & dynamics
Dhiman Gaurav, Chang Victor, Kant Singh Krishna, Shankar Achyut
2021-Jan-21
CNN, COVID-19, Coronavirus, J48, MOSHO, deep learning, optimization

Use of Artificial Intelligence to understand adults' thoughts and behaviours relating to COVID-19.
In Perspectives in public health
AIMS :
METHODS :
RESULTS :
CONCLUSIONS :
Flint S W, Piotrkowicz A, Watts K
2021-Jan-21
Artificial Intelligence, COVID-19, attitudes, behaviours, lockdown

Anatomical and Pathological Observation and Analysis of SARS and COVID-19: Microthrombosis Is the Main Cause of Death.
In Biological procedures online
Chen Wenjing, Pan Jing Ye
2021-Jan-20
Autopsy, COVID-19, Diffuse Alveolar Damage, Disseminated Intravascular Coagulation, Microcirculation Dysfunction, Pathology, SARS-CoV-2

Chemistry42: An AI-based platform for de novo molecular design
ArXiv Preprint
Yan A. Ivanenkov, Alex Zhebrak, Dmitry Bezrukov, Bogdan Zagribelnyy, Vladimir Aladinskiy, Daniil Polykovskiy, Evgeny Putin, Petrina Kamya, Alexander Aliper, Alex Zhavoronkov
2021-01-22

Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning.
In Journal of neural engineering ; h5-index 52.0
OBJECTIVE :
APPROACH :
MAIN RESULTS :
SIGNIFICANCE :
Ahmadi Nur, Constandinou Timothy, Bouganis Christos-Savvas
2021-Jan-21
brain-machine interface, deep learning, entire spiking activity, neural decoding, quasi-recurrent neural network

Image-level supervised segmentation for human organs with confidence cues.
In Physics in medicine and biology
Chen Zhang, Tian Zhiqiang, Zheng Yaoyue, Si Xiangyu, Qin Xulei, Shi Zhong, Zheng Shuai
2021-Jan-21
Image-level labels, Location confidence, Organ image segmentation, Size confidence, Weakly supervised learning
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