1 code implementation • 25 Apr 2023 • Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu
Under the global COVID-19 crisis, accurate diagnosis of COVID-19 from Chest X-ray (CXR) images is critical.
no code implementations • 19 Feb 2023 • Adrian Balica, Jennifer Dai, Kayla Piiwaa, Xiao Qi, Ashlee N. Green, Nancy Phillips, Susan Egan, Ilker Hacihaliloglu
Our objective in this work is to investigate the potential of deep learning methods to classify endometriosis from ultrasound data.
1 code implementation • 3 Aug 2022 • Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu
To improve the diagnostic performance of CXR imaging a growing number of studies have investigated whether supervised deep learning methods can provide additional support.
1 code implementation • 4 Apr 2021 • Xiao Qi, John L. Nosher, David J. Foran, Ilker Hacihaliloglu
The requirement for a large amount of labeled data is one of the major problems of deep learning methods when deployed in the medical domain.
1 code implementation • 6 Nov 2020 • Xiao Qi, Lloyd Brown, David J. Foran, Ilker Hacihaliloglu
The enhanced images, together with the original CXR data, are used as an input to our proposed CNN architecture.
no code implementations • 22 Jun 2018 • Zhongping Ji, Xiao Qi, Yigang Wang, Gang Xu, Peng Du, Qing Wu
In this paper, we propose a deep learning based reconstruction of 3D human body shape from 2D orthographic views.