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08/08/2023
Synthetic Augmentation with Large-scale Unconditional Pre-training
Deep learning based medical image recognition systems often require a su...
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05/25/2023
Securing Deep Generative Models with Universal Adversarial Signature
Recent advances in deep generative models have led to the development of...
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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...
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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 ...
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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...
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12/12/2022
HACA3: A Unified Approach for Multi-site MR Image Harmonization
The lack of standardization is a prominent issue in magnetic resonance (...
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11/14/2022
Learning to Optimize with Stochastic Dominance Constraints
In real-world decision-making, uncertainty is important yet difficult to...
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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...
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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...
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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...
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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...
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08/16/2022
HVS-Inspired Signal Degradation Network for Just Noticeable Difference Estimation
Significant improvement has been made on just noticeable difference (JND...
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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...
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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...
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06/05/2022
Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning
Rapid identification of newly emerging or circulating viruses is an impo...
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05/10/2022
Disentangling A Single MR Modality
Disentangling anatomical and contrast information from medical images ha...
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04/29/2022
Cost Effective MLaaS Federation: A Combinatorial Reinforcement Learning Approach
With the advancement of deep learning techniques, major cloud providers ...
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12/01/2021
Neural Stochastic Dual Dynamic Programming
Stochastic dual dynamic programming (SDDP) is a state-of-the-art method ...
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11/10/2021
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification
Histopathological analysis is the present gold standard for precancerous...
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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...
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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...
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08/26/2020
Synthetic Sample Selection via Reinforcement Learning
Synthesizing realistic medical images provides a feasible solution to th...
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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...
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07/10/2020
Learning Unstable Dynamical Systems with Time-Weighted Logarithmic Loss
When training the parameters of a linear dynamical model, the gradient d...
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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...
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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...
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12/09/2019
Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis
Advanced image synthesis methods can generate photo-realistic images for...
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12/09/2019
Selective Synthetic Augmentation with Quality Assurance
Supervised training of an automated medical image analysis system often ...
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12/04/2019
Deep Physiological State Space Model for Clinical Forecasting
Clinical forecasting based on electronic medical records (EMR) can uncov...
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11/14/2019
Modelling EHR timeseries by restricting feature interaction
Time series data are prevalent in electronic health records, mostly in t...
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07/24/2019
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification
Cervical intraepithelial neoplasia (CIN) grade of histopathology images ...
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06/11/2019
Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records
Effective modeling of electronic health records (EHR) is rapidly becomin...
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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...
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11/17/2017
Thoracic Disease Identification and Localization with Limited Supervision
Accurate identification and localization of abnormalities from radiology...
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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...
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06/06/2017
