2 citations · 5 across the 4 of their papers we have counts for
6 papers
Molecular dynamics without molecules: searching the conformational space of proteins with generative neural networks
Gregory Schwing, Luigi L. Palese, Ariel Fernández +2
All-atom and coarse-grained molecular dynamics are two widely used computational tools to study the conformational states of proteins. Yet, these two simulation methods suffer from…
CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays
Haikal Abdulah, Benjamin Huber, Sinan Lal +4
CXR-Net is a two-module Artificial Intelligence pipeline for the quick detection of SARS-CoV-2 from chest X-rays (CXRs). Module 1 was trained on a public dataset of 6395 CXRs with…
Lung Segmentation in Chest X-rays with Res-CR-Net
Haikal Abdulah, Benjamin Huber, Sinan Lal +3
Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images. Most DNNs developed for this purpose are based on some variation of the encoder-dec…
Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images
Hassan Abdallah, Asiri Liyanaarachchi, Maranda Saigh +6
Deep Neural Networks (DNN) have been widely used to carry out segmentation tasks in both electron and light microscopy. Most DNNs developed for this purpose are based on some varia…
Hemoglobin Non-equilibrium Oxygen Dissociation Curve
Rosella Scrima, Sabino Fugetto, Nazzareno Capitanio +1
Abnormal hemoglobins can have major consequences for tissue delivery of oxygen. Correct diagnosis of hemoglobinopathies with altered oxygen affinity requires a determination of hem…
Multidimensional mutual information methods for the analysis of covariation in multiple sequence alignments
Greg W. Clark, Sharon H. Ackerman, Elisabeth R. Tillier +1
Several methods are available for the detection of covarying positions from a multiple sequence alignment (MSA). If the MSA contains a large number of sequences, information about…