Molecular dynamics without molecules: searching the conformational space of proteins with generative neural networks

1 code implementation • 9 Jun 2022 • Gregory Schwing, Luigi L. Palese, Ariel Fernández, Loren Schwiebert, Domenico L. Gatti

All-atom and coarse-grained molecular dynamics are two widely used computational tools to study the conformational states of proteins.

CXR-Net: An Artificial Intelligence Pipeline for Quick Covid-19 Screening of Chest X-Rays

1 code implementation • 26 Feb 2021 • Haikal Abdulah, Benjamin Huber, Sinan Lal, Hassan Abdallah, Luigi L. Palese, Hamid Soltanian-Zadeh, Domenico L. Gatti

Module 1 was trained on a public dataset of 6395 CXRs with radiologist annotated lung contours to generate masks of the lungs that overlap the heart and large vasa.

Lung Segmentation in Chest X-rays with Res-CR-Net

no code implementations • 14 Nov 2020 • Haikal Abdulah, Benjamin Huber, Sinan Lal, Hassan Abdallah, Hamid Soltanian-Zadeh, Domenico L. Gatti

Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images.

Segmentation Semantic Segmentation

Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images

1 code implementation • 14 Apr 2020 • Hassan Abdallah, Asiri Liyanaarachchi, Maranda Saigh, Samantha Silvers, Suzan Arslanturk, Douglas J. Taatjes, Lars Larsson, Bhanu P. Jena, Domenico L. Gatti

Deep Neural Networks (DNN) have been widely used to carry out segmentation tasks in both electron and light microscopy.

Semantic Segmentation