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pro vyhledávání: '"Abdulah Haikal"'
Autor:
Abdulah, Haikal, Huber, Benjamin, Lal, Sinan, Abdallah, Hassan, Palese, Luigi L., Soltanian-Zadeh, Hamid, Gatti, Domenico L.
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 radiologist annotated lung contours to generate masks of the lungs tha
Externí odkaz:
http://arxiv.org/abs/2103.00087
Autor:
Abdulah, Haikal, Huber, Benjamin, Lal, Sinan, Abdallah, Hassan, Soltanian-Zadeh, Hamid, Gatti, Domenico L.
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-decoder U-Net architecture. Here we show that Res-CR-Net, a new type of f
Externí odkaz:
http://arxiv.org/abs/2011.08655
Autor:
Muhammad J. Abbas, Kelechi R. Okoroha, Lafi S. Khalil, Miriam E. Dash, Abdulah Haikal, Gauthier Dongmo
Publikováno v:
Arthroscopy, Sports Medicine, and Rehabilitation
Purpose The purpose of this study is to analyze the Instagram practices of current orthopaedic surgeons and the components associated with highest reach and interactions. Methods The top 25 orthopaedic surgeon Instagram profiles using the hashtag #or
Publikováno v:
Clinical Cancer Research. 27:S11-04
A critical step in the fight against COVID-19 pandemic is the screening and rapid recognition of those affected by Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2). The main screening method used for detecting COVID-19 infection is the re