1 code implementation • 14 Mar 2018 • Holger R. Roth, Hirohisa ODA, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku MORI
In this work, we show that a multi-class 3D FCN trained on manually labeled CT scans of several anatomical structures (ranging from the large organs to thin vessels) can achieve competitive segmentation results, while avoiding the need for handcrafting features or training class-specific models.
Ranked #2 on 3D Medical Imaging Segmentation on TCIA Pancreas-CT
1 code implementation • 29 May 2020 • Guangfeng Lin, Ying Yang, Yindi Fan, Xiaobing Kang, Kaiyang Liao, Fan Zhao
Most existing methods try to model the similarity relationship of the samples in the intra tasks, and generalize the model to identify the new categories.
no code implementations • NeurIPS 2016 • Ying Yang, Elissa Aminoff, Michael Tarr, Kass E. Robert
The model treats the mean activity in individual ROIs as the state variable, and describes non-stationary dynamic dependence across ROIs using time-varying auto-regression.
no code implementations • 2 Aug 2019 • Ying Yang, Michael Wybrow, Yuan-Fang Li, Tobias Czauderna, Yongqun He
Ontologies are formal representations of concepts and complex relationships among them.
no code implementations • 14 Dec 2020 • Qun Wei, Ying Yang, Alexander Gavrilov, Xihong Peng
The modulus in the zigzag direction is predicted to be 340 N/m, stiffer than h-BN and penta-CN2 sheets and comparable to graphene.
Band Gap Materials Science Computational Physics
no code implementations • 18 Dec 2020 • Yubao Sun, Ying Yang, Qingshan Liu, Mohan Kankanhalli
Hyperspectral compressive imaging takes advantage of compressive sensing theory to achieve coded aperture snapshot measurement without temporal scanning, and the entire three-dimensional spatial-spectral data is captured by a two-dimensional projection during a single integration period.
no code implementations • 2 Aug 2021 • Jonathan H. Mason, Yvonne Reinwald, Ying Yang, Sarah Waters, Alicia El Haj, Pierre O. Bagnaninchi
Optical coherence elastography allows the characterization of the mechanical properties of tissues, and can be performed through estimating local displacement maps from subsequent acquisitions of a sample under different loads.
no code implementations • 2 Aug 2021 • Jonathan H. Mason, Yvonne Reinwald, Ying Yang, Sarah Waters, Alicia El Haj, Pierre O. Bagnaninchi
Spectral domain optical coherence tomography (OCT) offers high resolution multidimensional imaging, but generally suffers from defocussing, intensity falloff and shot noise, causing artifacts and image degradation along the imaging depth.
no code implementations • 22 Feb 2022 • Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu
The aim of this paper is to establish a causal link between the policies implemented by technology companies and the outcomes they yield within intricate temporal and/or spatial dependent experiments.
no code implementations • 9 Mar 2022 • Wen-Kai Yu, Chong Cao, Ying Yang, Ning Wei, Shuo-Fei Wang, Chen-Xi Zhu
Single-pixel imaging (SPI) is very popular in subsampling applications, but the random measurement matrices it typically uses will lead to measurement blindness as well as difficulties in calculation and storage, and will also limit the further reduction in sampling rate.
no code implementations • 18 Mar 2022 • Wen-Kai Yu, Ying Yang, Jin-Rui Liu, Ning Wei, Shuo-Fei Wang
Single-pixel imaging (SPI) has attracted widespread attention because it generally uses a non-pixelated photodetector and a digital micromirror device (DMD) to acquire the object image.
no code implementations • 11 Oct 2022 • Tingting Wu, Wenna Wu, Ying Yang, Feng-Lei Fan, Tieyong Zeng
In this paper, using a sequential Retinex decomposition strategy, we design a plug-and-play framework based on the Retinex theory for simultaneously image enhancement and noise removal.
no code implementations • 23 May 2023 • Nan Ma, Ying Yang, Dongkai Zhou
The network we used in our workflow is based on 3D U-Net.
no code implementations • 1 Aug 2023 • Ying Yang, Kai Du, Xingyuan Dai, Jianwu Fang
We design a perturbation mask generator over input sensor features at the time dimension and the graph structure on the graph transformer module to obtain spatial and temporal counterfactual explanations.
no code implementations • Measurement Science and Technology 2022 • Dengke Zhou, Ying Yang, Jie Zhu and Ku Wang
Accurate reading of a pointer meter is a crucial task in complex environments, such as substations, the military and aerospace.
no code implementations • 5 Mar 2024 • Feng Hou, Jin Yuan, Ying Yang, Yang Liu, Yang Zhang, Cheng Zhong, Zhongchao shi, Jianping Fan, Yong Rui, Zhiqiang He
With the recent advance of vision-language models (VLMs), viewed as natural source models, the cross-domain task changes to directly adapt the pre-trained source model to arbitrary target domains equipped with prior domain knowledge, and we name this task Adaptive Domain Generalization (ADG).
no code implementations • 26 Mar 2024 • Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu
Our aim is to thoroughly evaluate the effects of these designs on the accuracy of their resulting average treatment effect (ATE) estimators.