1 code implementation • 9 Mar 2021 • Navdeep Dahiya, Sadegh R Alam, Pengpeng Zhang, Si-Yuan Zhang, Anthony Yezzi, Saad Nadeem
Treatment planning is done once at the beginning of the treatment using high-quality planning CT (pCT) images and manual contours for organs-at-risk (OARs) structures.
no code implementations • 5 Aug 2020 • Ke Wang, Si-Yuan Zhang, Junlan Chen, Fan Ren, Lei Xiao
First, pairs of hazy and clean images are used as inputs to supervise the encoding process and obtain high-quality feature maps.
no code implementations • 28 Jun 2020 • Sadegh R Alam, Tianfang Li, Pengpeng Zhang, Si-Yuan Zhang, Saad Nadeem
Automated segmentation of esophagus is critical in image guided/adaptive radiotherapy of lung cancer to minimize radiation-induced toxicities such as acute esophagitis.
no code implementations • 12 Feb 2020 • Wei Shi, Si-Yuan Zhang, Zhiwei Zhang, Hong Cheng, Jeffrey Xu Yu
The named entity linking is challenging, given the fact that there are multiple candidate entities for a mention in a document.
4 code implementations • CVPR 2019 • Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Si-Yuan Zhang, Cody Smith, Scott Howard
In this paper, we fill this gap by constructing a dataset - the Fluorescence Microscopy Denoising (FMD) dataset - that is dedicated to Poisson-Gaussian denoising.
no code implementations • 28 Jun 2018 • Zhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Si-Yuan Zhang, Danny Z. Chen
Our approach needs only 3D bounding boxes for all instances and full voxel annotation for a small fraction of the instances, and uses a novel two-stage 3D instance segmentation model utilizing these two kinds of annotation, respectively.
no code implementations • 15 Jun 2017 • Lin Yang, Yizhe Zhang, Jianxu Chen, Si-Yuan Zhang, Danny Z. Chen
Image segmentation is a fundamental problem in biomedical image analysis.