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06/07/2023
M^3Fair: Mitigating Bias in Healthcare Data through Multi-Level and Multi-Sensitive-Attribute Reweighting Method
In the data-driven artificial intelligence paradigm, models heavily rely...
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03/10/2023
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation
Open international challenges are becoming the de facto standard for ass...
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01/17/2023
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset
Objective: Peritoneal Dialysis (PD) is one of the most widely used life-...
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09/16/2022
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care: Choosing the Best Model for COVID-19 Prognosis
The COVID-19 pandemic has posed a heavy burden to the healthcare system ...
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06/13/2022
MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients
Overall survival (OS) time is one of the most important evaluation indic...
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06/13/2022
RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans
In clinical practice, anisotropic volumetric medical images with low thr...
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06/13/2022
Transformer Lesion Tracker
Evaluating lesion progression and treatment response via longitudinal le...
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04/21/2022
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering
In healthcare prediction tasks, it is essential to exploit the correlati...
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07/13/2021
eProduct: A Million-Scale Visual Search Benchmark to Address Product Recognition Challenges
Large-scale product recognition is one of the major applications of comp...
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06/22/2021
De Re Updates
In this paper, we propose a lightweight yet powerful dynamic epistemic l...
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04/21/2021
Deep Transform and Metric Learning Networks
Based on its great successes in inference and denosing tasks, Dictionary...
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07/17/2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
Due to the characteristics of COVID-19, the epidemic develops rapidly an...
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04/21/2020
Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests
With rapid development of socio-economics, the task of discovering funct...
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02/18/2020
Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks
On account of its many successes in inference tasks and denoising applic...
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01/24/2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Deep learning has demonstrated success in health risk prediction especia...
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11/27/2019
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
Predicting the patient's clinical outcome from the historical electronic...
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11/27/2019
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
Deep learning-based health status representation learning and clinical p...
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06/13/2019
Joint Concept Matching based Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) which aims to recognize unseen object classes b...
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06/13/2019
Joint Concept Matching-Space Projection Learning for Zero-Shot Recognition
Zero-shot learning (ZSL) has been widely researched and achieved a great...
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03/18/2019
MUSEFood: Multi-sensor-based Food Volume Estimation on Smartphones
Researches have shown that diet recording can help people increase aware...
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03/07/2019
Analysis Dictionary Learning: An Efficient and Discriminative Solution
Discriminative Dictionary Learning (DL) methods have been widely advocat...
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07/13/2018
Analysis Dictionary Learning based Classification: Structure for Robustness
A discriminative structured analysis dictionary is proposed for the clas...
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05/02/2018
Structured Analysis Dictionary Learning for Image Classification
We propose a computationally efficient and high-performance classificati...
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03/14/2018
Context-Aware Mixed Reality: A Framework for Ubiquitous Interaction
Mixed Reality (MR) is a powerful interactive technology that yields new ...
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03/14/2018
Self-Supervised Monocular Image Depth Learning and Confidence Estimation
Convolutional Neural Networks (CNNs) need large amounts of data with gro...
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08/03/2017
Real-time Geometry-Aware Augmented Reality in Minimally Invasive Surgery
The potential of Augmented Reality (AR) technology to assist minimally i...
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08/03/2017
Recent Developments and Future Challenges in Medical Mixed Reality
Mixed Reality (MR) is of increasing interest within technology-driven mo...
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08/03/2017
Semantic Augmented Reality Environment with Material-Aware Physical Interactions
In Augmented Reality (AR) environment, realistic interactions between th...
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03/01/2017