Americo Cunha Jr,Fernando da Conceição Batista,Paulo Roberto de Lima Gianfelice et al.
Americo Cunha Jr et al.
The COVID-19 pandemic has given rise to a great demand for computational models capable of describing and inferring the evolution of an epidemic outbreak in the short term. In this sense, we introduce epidWaves, a package that provides a fr...
Source Code for Optimized Parallel Inception: A Fast COVID-19 Screening Software [0.03%]
一种快速的新型冠状病毒筛查软件Optimized Parallel Inception的源代码
Alireza Tavakolian,Farshid Hajati,Alireza Rezaee et al.
Alireza Tavakolian et al.
COVID-19 and swine-origin influenza A (H1N1) are both pandemics that sparked significant concern worldwide. These two viruses have the same symptoms and occur at a collision timeline. Optimized Parallel Inception (OPI) presents a new strate...
Source code and secondary data of the stochastic process based COVID-19 simulation model [0.03%]
基于随机过程的COVID-19仿真模型的源代码和二手数据
S S Manathunga,I A Abeyagunawardena,S D Dharmaratne
S S Manathunga
The novel coronavirus disease (COVID-19) culminated in a pandemic with many countries affected in varying stages. We aimed to develop a simulation environment for COVID-19 spread, taking environmental and social factors into account. This p...
Integrated Analysis Toolset for Defining and Tracking Alloreactive T-cell Clones After Human Solid Organ and Hematopoietic Stem Cell Transplantation [0.03%]
定义和追踪人类实体器官及造血干细胞移植后的异体反应性T细胞克隆的综合分析工具包
Aleksandar Obradovic,Yufeng Shen,Megan Sykes et al.
Aleksandar Obradovic et al.
We have developed a suite of tools for integrated analysis of T-Cell-Receptor Sequencing data to define and track alloreactive T-cells in human transplant studies. This has enabled discovery of sequences and patterns of T-cell enrichment an...
Michel Tosin,Eber Dantas,Americo Cunha Jr et al.
Michel Tosin et al.
The ongoing pandemic of COVID-19 has highlighted the importance of mathematical tools to understand and predict outbreaks of severe infectious diseases, including arboviruses such as Zika. To this end, we introduce ARBO, a package for simul...
COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19 [0.03%]
用于2019冠状病毒病的自动化检测系统COV-ADSX：使用X射线图像，深度学习和XGBoost
Sharif Hasani,Hamid Nasiri
Sharif Hasani
Following the COVID-19 pandemic, scientists have been looking for different ways to diagnose COVID-19, and these efforts have led to a variety of solutions. One of the common methods of detecting infected people is chest radiography. In thi...
vid-SAMGRAH: A PyTorch framework for multi-latent space reinforcement learning driven video summarization in ultrasound imaging [0.03%]
vid-SAMGRAH：用于超声成像中多潜空间强化学习驱动视频摘要的PyTorch框架
Roshan P Mathews,Mahesh Raveendranatha Panicker,Abhilash R Hareendranathan
Roshan P Mathews
The COVID-19 pandemic has accelerated the need for automatic triaging and summarization of ultrasound videos for fast access to pathologically relevant information in the Emergency Department and lowering resource requirements for telemedic...
Java application for cytoskeleton filament characterization (JACFC) [0.03%]
用于细胞骨架纤维表征的Java应用程序(JACFC)
Marcelo Marucho
Marcelo Marucho
JACFC is a Java web application (http://neuronanobiophysics.utsa.edu/) that provides both experts and non-experts in the field suitable tools for elucidating the molecular mechanisms modulating the electrical signal propagation, stability, ...