b'Yuan Xue'

research

∙ 05/25/2023

Securing Deep Generative Models with Universal Adversarial Signature

Recent advances in deep generative models have led to the development of...

0 Yu Zeng, et al. ∙

research

∙ 03/05/2023

The First Comprehensive Dataset with Multiple Distortion Types for Visual Just-Noticeable Differences

Recently, with the development of deep learning, a number of Just Notice...

0 Yaxuan Liu, et al. ∙

research

∙ 02/01/2023

A latent space for unsupervised MR image quality control via artifact assessment

Image quality control (IQC) can be used in automated magnetic resonance ...

0 Lianrui Zuo, et al. ∙

research

∙ 01/15/2023

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI

The thalamus is a subcortical gray matter structure that plays a key rol...

0 Chang Yan, et al. ∙

research

∙ 12/12/2022

HACA3: A Unified Approach for Multi-site MR Image Harmonization

The lack of standardization is a prominent issue in magnetic resonance (...

0 Lianrui Zuo, et al. ∙

research

∙ 11/14/2022

Learning to Optimize with Stochastic Dominance Constraints

In real-world decision-making, uncertainty is important yet difficult to...

18 Hanjun Dai, et al. ∙

research

∙ 10/14/2022

Semi-supervised Body Parsing and Pose Estimation for Enhancing Infant General Movement Assessment

General movement assessment (GMA) of infant movement videos (IMVs) is an...

0 Haomiao Ni, et al. ∙

research

∙ 10/02/2022

Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis

In this paper, we propose a novel dual-branch Transformation-Synthesis n...

0 Haomiao Ni, et al. ∙

research

∙ 09/14/2022

DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement

Images obtained under low-light conditions will seriously affect the qua...

0 Yonglong Jiang, et al. ∙

research

∙ 09/06/2022

Deep filter bank regression for super-resolution of anisotropic MR brain images

In 2D multi-slice magnetic resonance (MR) acquisition, the through-plane...

0 Samuel W. Remedios, et al. ∙

research

∙ 08/16/2022

HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation

Significant improvement has been made on just noticeable difference (JND...

6 Jian Jin, et al. ∙

research

∙ 07/27/2022

End-to-end Graph-constrained Vectorized Floorplan Generation with Panoptic Refinement

The automatic generation of floorplans given user inputs has great poten...

0 Jiachen Liu, et al. ∙

research

∙ 06/30/2022

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT Scans

Accurate infarct segmentation in non-contrast CT (NCCT) images is a cruc...

8 Haomiao Ni, et al. ∙

research

∙ 06/05/2022

Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning

Rapid identification of newly emerging or circulating viruses is an impo...

0 Jiarong Ye, et al. ∙

research

∙ 05/10/2022

Disentangling A Single MR Modality

Disentangling anatomical and contrast information from medical images ha...

6 Lianrui Zuo, et al. ∙

research

∙ 04/29/2022

Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach

With the advancement of deep learning techniques, major cloud providers ...

0 Shuzhao Xie, et al. ∙

research

∙ 12/01/2021

Neural Stochastic Dual Dynamic Programming

Stochastic dual dynamic programming (SDDP) is a state-of-the-art method ...

0 Hanjun Dai, et al. ∙

research

∙ 11/10/2021

Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification

Histopathological analysis is the present gold standard for precancerous...

11 Yuan Xue, et al. ∙

research

∙ 11/10/2021

A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis

Generative models have been applied in the medical imaging domain for va...

0 Jiarong Ye, et al. ∙

research

∙ 07/09/2021

Deep Image Synthesis from Intuitive User Input: A Review and Perspectives

In many applications of computer graphics, art and design, it is desirab...

5 Yuan Xue, et al. ∙

research

∙ 08/26/2020

Synthetic Sample Selection via Reinforcement Learning

Synthesizing realistic medical images provides a feasible solution to th...

10 Jiarong Ye, et al. ∙

research

∙ 07/16/2020

SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos

General movement assessment (GMA) of infant movement videos (IMVs) is an...

6 Haomiao Ni, et al. ∙

research

∙ 07/10/2020

Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss

When training the parameters of a linear dynamical model, the gradient d...

2 Kamil Nar, et al. ∙

research

∙ 04/15/2020

Speeding-up Logic Design and Refining Hardware EDA Flow by Exploring Chinese Character based Graphical Representation

Electrical design automation (EDA) techniques have deeply influenced the...

0 Shuangbai Xue, et al. ∙

research

∙ 12/09/2019

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps

In this work, we propose to resolve the issue existing in current deep l...

0 Yuan Xue, et al. ∙

research

∙ 12/09/2019

Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis

Advanced image synthesis methods can generate photo-realistic images for...

9 Yuan Xue, et al. ∙

research

∙ 12/09/2019

Selective Synthetic Augmentation with Quality Assurance

Supervised training of an automated medical image analysis system often ...

0 Yuan Xue, et al. ∙

research

∙ 12/04/2019

Deep Physiological State Space Model for Clinical Forecasting

Clinical forecasting based on electronic medical records (EMR) can uncov...

0 Yuan Xue, et al. ∙

research

∙ 11/14/2019

Modelling EHR timeseries by restricting feature interaction

Time series data are prevalent in electronic health records, mostly in t...

21 Kun Zhang, et al. ∙

research

∙ 07/24/2019

Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification

Cervical intraepithelial neoplasia (CIN) grade of histopathology images ...

0 Yuan Xue, et al. ∙

research

∙ 06/11/2019

Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records

Effective modeling of electronic health records (EHR) is rapidly becomin...

6 Edward Choi, et al. ∙

research

∙ 04/20/2018

Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness

Longitudinal data are common in clinical trials and observational studie...

0 Chixiang Chen, et al. ∙

research

∙ 11/17/2017

Thoracic Disease Identification and Localization with Limited Supervision

Accurate identification and localization of abnormalities from radiology...

0 Zhe Li, et al. ∙

research

∙ 10/04/2017

A Comparative Analysis of Materialized Views Selection and Concurrency Control Mechanisms in NoSQL Databases

Increasing resource demands require relational databases to scale. While...

0 Ashish Tapdiya, et al. ∙

research

∙ 06/06/2017

SegAN: Adversarial Network with Multi-scale L_1 Loss for Medical Image Segmentation

Inspired by classic generative adversarial networks (GAN), we propose a ...

0 Yuan Xue, et al. ∙

Yuan Xue

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