1 code implementation • 25 May 2023 • Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel
Prior research attempted to mitigate these threats by detecting generated images, but the varying traces left by different generative models make it challenging to create a universal detector capable of generalizing to new, unseen generative models.
no code implementations • 13 Apr 2023 • Peiyu Duan, Yuan Xue, Shuo Han, Lianrui Zuo, Aaron Carass, Caitlyn Bernhard, Savannah Hays, Peter A. Calabresi, Susan M. Resnick, James S. Duncan, Jerry L. Prince
The meninges, located between the skull and brain, are composed of three membrane layers: the pia, the arachnoid, and the dura.
no code implementations • 30 Mar 2023 • Anqi Feng, Yuan Xue, Yuli Wang, Chang Yan, Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince
Data-driven thalamic nuclei parcellation depends on high-quality manual annotations.
no code implementations • 5 Mar 2023 • Yaxuan Liu, Jian Jin, Yuan Xue, Weisi Lin
To benefit JND modeling, this work establishes a generalized JND dataset with a coarse-to-fine JND selection, which contains 106 source images and 1, 642 JND maps, covering 25 distortion types.
no code implementations • 3 Mar 2023 • Yuli Wang, Anqi Feng, Yuan Xue, Lianrui Zuo, Yihao Liu, Ari M. Blitz, Mark G. Luciano, Aaron Carass, Jerry L. Prince
Normal pressure hydrocephalus~(NPH) is a brain disorder associated with enlarged ventricles and multiple cognitive and motor symptoms.
no code implementations • 1 Feb 2023 • Lianrui Zuo, Yuan Xue, Blake E. Dewey, Yihao Liu, Jerry L. Prince, Aaron Carass
Image quality control (IQC) can be used in automated magnetic resonance (MR) image analysis to exclude erroneous results caused by poorly acquired or artifact-laden images.
no code implementations • 15 Jan 2023 • Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince
After registration of these contrasts and isolation of the thalamus, we use the uniform manifold approximation and projection (UMAP) method for dimensionality reduction to produce a low-dimensional representation of the data within the thalamus.
no code implementations • 12 Dec 2022 • Lianrui Zuo, Yihao Liu, Yuan Xue, Blake E. Dewey, Samuel W. Remedios, Savannah P. Hays, Murat Bilgel, Ellen M. Mowry, Scott D. Newsome, Peter A. Calabresi, Susan M. Resnick, Jerry L. Prince, Aaron Carass
Furthermore, HACA3 is also robust to imaging artifacts and can be trained and applied to any set of MR contrasts.
no code implementations • 14 Nov 2022 • Hanjun Dai, Yuan Xue, Niao He, Bethany Wang, Na Li, Dale Schuurmans, Bo Dai
In real-world decision-making, uncertainty is important yet difficult to handle.
2 code implementations • 14 Oct 2022 • Haomiao Ni, Yuan Xue, Liya Ma, Qian Zhang, Xiaoye Li, Xiaolei Huang
We collected a new clinical IMV dataset with GMA annotations, and our experiments show that SPN models for body parsing and pose estimation trained on the first two datasets generalize well to the new clinical dataset and their results can significantly boost the CRNN-based GMA prediction performance.
1 code implementation • 2 Oct 2022 • Haomiao Ni, Yihao Liu, Sharon X. Huang, Yuan Xue
The novel design of dual branches combines the strengths of deformation-grid-based transformation and warp-free generation for better identity preservation and robustness to occlusion in the synthesized videos.
no code implementations • 14 Sep 2022 • Yonglong Jiang, Liangliang Li, Yuan Xue, Hongbing Ma
Solving the problem of poor low-light image quality can effectively improve the visual quality of images and better improve the usability of computer vision.
no code implementations • 6 Sep 2022 • Samuel W. Remedios, Shuo Han, Yuan Xue, Aaron Carass, Trac D. Tran, Dzung L. Pham, Jerry L. Prince
In 2D multi-slice magnetic resonance (MR) acquisition, the through-plane signals are typically of lower resolution than the in-plane signals.
1 code implementation • 16 Aug 2022 • Jian Jin, Yuan Xue, Xingxing Zhang, Lili Meng, Yao Zhao, Weisi Lin
However, they have a major drawback that the generated JND is assessed in the real-world signal domain instead of in the perceptual domain in the human brain.
no code implementations • 27 Jul 2022 • Jiachen Liu, Yuan Xue, Jose Duarte, Krishnendra Shekhawat, Zihan Zhou, Xiaolei Huang
In the first stage, we encode the room connectivity graph input by users with a graph convolutional network (GCN), then apply an autoregressive transformer network to generate an initial floorplan sequence.
1 code implementation • 30 Jun 2022 • Haomiao Ni, Yuan Xue, Kelvin Wong, John Volpi, Stephen T. C. Wong, James Z. Wang, Xiaolei Huang
In this paper, we propose a novel Asymmetry Disentanglement Network (ADN) to automatically separate pathological asymmetries and intrinsic anatomical asymmetries in NCCTs for more effective and interpretable AIS segmentation.
no code implementations • 5 Jun 2022 • Jiarong Ye, Yin-Ting Yeh, Yuan Xue, Ziyang Wang, Na Zhang, He Liu, Kunyan Zhang, RyeAnne Ricker, Zhuohang Yu, Allison Roder, Nestor Perea Lopez, Lindsey Organtini, Wallace Greene, Susan Hafenstein, Huaguang Lu, Elodie Ghedin, Mauricio Terrones, Shengxi Huang, Sharon Xiaolei Huang
We present such a machine learning approach for analyzing Raman spectra of human and avian viruses.
no code implementations • 10 May 2022 • Lianrui Zuo, Yihao Liu, Yuan Xue, Shuo Han, Murat Bilgel, Susan M. Resnick, Jerry L. Prince, Aaron Carass
Disentangling anatomical and contrast information from medical images has gained attention recently, demonstrating benefits for various image analysis tasks.
1 code implementation • 29 Apr 2022 • Shuzhao Xie, Yuan Xue, Yifei Zhu, Zhi Wang
With the advancement of deep learning techniques, major cloud providers and niche machine learning service providers start to offer their cloud-based machine learning tools, also known as machine learning as a service (MLaaS), to the public.
1 code implementation • 5 Mar 2022 • Yihao Liu, Lianrui Zuo, Shuo Han, Yuan Xue, Jerry L. Prince, Aaron Carass
The majority of deep learning (DL) based deformable image registration methods use convolutional neural networks (CNNs) to estimate displacement fields from pairs of moving and fixed images.
no code implementations • ICLR 2022 • Hanjun Dai, Yuan Xue, Zia Syed, Dale Schuurmans, Bo Dai
Stochastic dual dynamic programming (SDDP) is a state-of-the-art method for solving multi-stage stochastic optimization, widely used for modeling real-world process optimization tasks.
1 code implementation • 10 Nov 2021 • Jiarong Ye, Yuan Xue, Peter Liu, Richard Zaino, Keith Cheng, Xiaolei Huang
Generative models have been applied in the medical imaging domain for various image recognition and synthesis tasks.
no code implementations • 10 Nov 2021 • Yuan Xue, Jiarong Ye, Qianying Zhou, Rodney Long, Sameer Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith Cheng, Xiaolei Huang
Histopathological analysis is the present gold standard for precancerous lesion diagnosis.
no code implementations • 9 Jul 2021 • Yuan Xue, Yuan-Chen Guo, Han Zhang, Tao Xu, Song-Hai Zhang, Xiaolei Huang
In many applications of computer graphics, art and design, it is desirable for a user to provide intuitive non-image input, such as text, sketch, stroke, graph or layout, and have a computer system automatically generate photo-realistic images that adhere to the input content.
no code implementations • NeurIPS 2020 • Yuan Xue, Nan Du, Anne Mottram, Martin Seneviratne, Andrew M. Dai
The paradigm of pretraining' from a set of relevant auxiliary tasks and thenfinetuning' on a target task has been successfully applied in many different domains.
no code implementations • 26 Aug 2020 • Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer Antani, Zhiyun Xue, Keith Cheng, Xiaolei Huang
However, the quality control of synthetic images for data augmentation purposes is under-investigated, and some of the generated images are not realistic and may contain misleading features that distort data distribution when mixed with real images.
1 code implementation • 16 Jul 2020 • Haomiao Ni, Yuan Xue, Qian Zhang, Xiaolei Huang
In this paper, we propose a semi-supervised body parsing model, termed SiamParseNet (SPN), to jointly learn single frame body parsing and label propagation between frames in a semi-supervised fashion.
no code implementations • 10 Jul 2020 • Kamil Nar, Yuan Xue, Andrew M. Dai
When training the parameters of a linear dynamical model, the gradient descent algorithm is likely to fail to converge if the squared-error loss is used as the training loss function.
no code implementations • 1 Apr 2020 • Yanglan Ou, Yuan Xue, Ye Yuan, Tao Xu, Vincent Pisztora, Jia Li, Xiaolei Huang
In this paper, we propose a novel and more flexible GCN model with a feature encoder that adaptively updates the adjacency matrix during learning and demonstrate that this model design leads to improved performance.
no code implementations • 9 Dec 2019 • Yuan Xue, Jiarong Ye, Rodney Long, Sameer Antani, Zhiyun Xue, Xiaolei Huang
To mitigate these issues, we investigate a novel data augmentation pipeline that selectively adds new synthetic images generated by conditional Adversarial Networks (cGANs), rather than extending directly the training set with synthetic images.
1 code implementation • ECCV 2020 • Yuan Xue, Zihan Zhou, Xiaolei Huang
To this end, we propose a novel model based on a structure-appearance joint representation learned from both images and wireframes.
no code implementations • 9 Dec 2019 • Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang
In this work, we propose to resolve the issue existing in current deep learning based organ segmentation systems that they often produce results that do not capture the overall shape of the target organ and often lack smoothness.
no code implementations • 4 Dec 2019 • Yuan Xue, Denny Zhou, Nan Du, Andrew Dai, Zhen Xu, Kun Zhang, Claire Cui
Clinical forecasting based on electronic medical records (EMR) can uncover the temporal correlations between patients' conditions and outcomes from sequences of longitudinal clinical measurements.
no code implementations • 14 Nov 2019 • Kun Zhang, Yuan Xue, Gerardo Flores, Alvin Rajkomar, Claire Cui, Andrew M. Dai
Time series data are prevalent in electronic health records, mostly in the form of physiological parameters such as vital signs and lab tests.
no code implementations • 24 Jul 2019 • Yuan Xue, Qianying Zhou, Jiarong Ye, L. Rodney Long, Sameer Antani, Carl Cornwell, Zhiyun Xue, Xiaolei Huang
Our models are evaluated on a cervical histopathology image dataset with a limited number of patch-level CIN grade annotations.
2 code implementations • 11 Jun 2019 • Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai
A recent study showed that using the graphical structure underlying EHR data (e. g. relationship between diagnoses and treatments) improves the performance of prediction tasks such as heart failure prediction.
1 code implementation • CVPR 2018 • Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei
Accurate identification and localization of abnormalities from radiology images play an integral part in clinical diagnosis and treatment planning.
2 code implementations • 6 Jun 2017 • Yuan Xue, Tao Xu, Han Zhang, Rodney Long, Xiaolei Huang
Extensive experimental results demonstrate the effectiveness of the proposed SegAN with multi-scale loss: on BRATS 2013 SegAN gives performance comparable to the state-of-the-art for whole tumor and tumor core segmentation while achieves better precision and sensitivity for Gd-enhance tumor core segmentation; on BRATS 2015 SegAN achieves better performance than the state-of-the-art in both dice score and precision.
Ranked #1 on Brain Tumor Segmentation on BRATS-2013 leaderboard