Latest AI and machine learning research in covid-19 for healthcare professionals.
In this paper, we proposed nested encoder-decoder architecture named T-Net. T-Net consists of severa...
The objective of this study is to integrate biomimetic robots into small groups of zebrafish and to ...
Computational methods for predicting the macromolecular targets of drugs and drug-like compounds hav...
We develop a new family of variance reduced stochastic gradient descent methods for minimizing the a...
The aim of the study was to investigate the usefulness of processing visual field (VF) using a varia...
Background Chest radiography may play an important role in triage for coronavirus disease 2019 (COVI...
The coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually being contro...
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can inf...
BACKGROUND: To contain the outbreak of coronavirus disease 2019 (COVID-19) in China, many unpreceden...
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. D...
PURPOSE: To develop a deep learning-based method to assist radiologists to fast and accurately ident...
The COVID-19 pandemic started in Italy in February 2020 with an exponential growth that has exceeded...
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT char...
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease cure and ...
Antibodies are capable of potently and specifically binding individual antigens and, in some cases, ...
The therapeutic concept of unleashing a pre-existing immune response against the tumor by the applic...
: Innovative assistive technology can address aging-in-place and caregiving needs of individuals wit...
BACKGROUND: The recent global outbreak of coronavirus disease (COVID-19) is affecting many countries...
Microscopy image analysis is a major bottleneck in quantification of single-cell microscopy data, ty...
Segmentation of normal organs is a critical and time-consuming process in radiotherapy. Auto-segment...
In recent years, research on image generation has been developing very fast. The generative adversar...