no code implementations • 13 Apr 2024 • Shan Gao, Amit K. Chakraborty, Russell Greiner, Mark A. Lewis, Hao Wang
In summary, we showed that there are statistical features that distinguish outbreak and non-outbreak sequences long before outbreaks occur.
1 code implementation • 24 Mar 2024 • Amit K. Chakraborty, Shan Gao, Reza Miry, Pouria Ramazi, Russell Greiner, Mark A. Lewis, Hao Wang
The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies.
1 code implementation • 18 Nov 2023 • Yan Di, Chenyangguang Zhang, Chaowei Wang, Ruida Zhang, Guangyao Zhai, Yanyan Li, Bowen Fu, Xiangyang Ji, Shan Gao
In this paper, we present ShapeMatcher, a unified self-supervised learning framework for joint shape canonicalization, segmentation, retrieval and deformation.
no code implementations • ICCV 2023 • Sha Meng, Dian Shao, Jiacheng Guo, Shan Gao
Unsupervised learning is a challenging task due to the lack of labels.
no code implementations • 13 Jul 2022 • Alberto Gomez, Mihaela Porumb, Angela Mumith, Thierry Judge, Shan Gao, Woo-Jin Cho Kim, Jorge Oliveira, Agis Chartsias
We propose a new method to automatically contour the left ventricle on 2D echocardiographic images.
no code implementations • 10 Oct 2021 • Shan Gao, Xihong Wu, Tianshu Qu
This paper proposes a deconvolution-based network (DCNN) model for DOA estimation of direct source and early reflections under reverberant scenarios.
no code implementations • 6 Aug 2021 • Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal Bhatia, Bernhard Kainz, Arian Beqiri
Analysis of cardiac ultrasound images is commonly performed in routine clinical practice for quantification of cardiac function.
no code implementations • 8 Sep 2020 • Xavier Rodrigues, Simone Garrappa, Shan Gao, Vaidehi S. Paliya, Anna Franckowiak, Walter Winter
We find two hadronic models that can describe the multi-wavelength emission during all three states: a leptohadronic model with a contribution from photo-hadronic processes to X-rays and gamma rays, and a proton synchrotron model, where the emission from keV to 10 GeV comes from proton synchrotron radiation.
High Energy Astrophysical Phenomena
no code implementations • 14 Feb 2017 • Shan Gao, Xiaogang Chen, Qixiang Ye, Junliang Xing, Arjan Kuijper, Xiangyang Ji
Inspired with the social affinity property of moving objects, we propose a Graphical Social Topology (GST) model, which estimates the group dynamics by jointly modeling the group structure and the states of objects using a topological representation.