Zhengxing Huang

CoRR, 2024

Adapting Pre-trained Generative Model to Medical Image for Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Message from the Program Chairs; ICHI 2024.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Counterfactual Trajectories Prediction for Features of Non-Communicable Disease.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Personalization in mHealth: Innovative informatics methods to improve patient experience and health outcome.

[BibT_eX]

[DOI]

Elske Ammenwerth

Szymon Wilk

J. Biomed. Informatics, November, 2023

Knowledge-aware patient representation learning for multiple disease subtypes.

[BibT_eX]

[DOI]

J. Biomed. Informatics, February, 2023

Editorial: Explainable artificial intelligence for critical healthcare applications.

[BibT_eX]

[DOI]

Benjamin S. Glicksberg

Frontiers Artif. Intell., February, 2023

Adversarial reinforcement learning for dynamic treatment regimes.

[BibT_eX]

[DOI]

J. Biomed. Informatics, January, 2023

Causal Interpretable Progression Trajectory Analysis of Chronic Disease.

[BibT_eX]

[DOI]

CoRR, 2023

Replicating Complex Dialogue Policy of Humans via Offline Imitation Learning with Supervised Regularization.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Representations from Medical Text for Effective Diagnoses and Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Learning Chemical Rules of Retrosynthesis with Pre-training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Unified Machine Reading Comprehension Framework for Cohort Selection.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

Deep-CSA: Deep Contrastive Learning for Dynamic Survival Analysis With Competing Risks.

[BibT_eX]

[DOI]

Caogen Hong

Fan Yi

IEEE J. Biomed. Health Informatics, 2022

CD-Surv: a contrastive-based model for dynamic survival analysis.

[BibT_eX]

[DOI]

Health Inf. Sci. Syst., 2022

Disentangled representation for sequential treatment effect estimation.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

Attribute-aware interpretation learning for thyroid ultrasound diagnosis.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2022

GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TranSQ: Transformer-Based Semantic Query for Medical Report Generation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

On Tracking Dialogue State by Inheriting Slot Values in Mentioned Slot Pools.

[BibT_eX]

[DOI]

Zhoujian Sun

Nai Ding

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Towards Predictive Analysis on Disease Progression: A Variational Hawkes Process Model.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

On learning disentangled representations for individual treatment effect estimation.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2021

Knowledge-aware multi-center clinical dataset adaptation: Problem, method, and application.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2021

Attention-Based Deep Recurrent Model for Survival Prediction.

[BibT_eX]

[DOI]

ACM Trans. Comput. Heal., 2021

2020

On Clinical Event Prediction in Patient Treatment Trajectory Using Longitudinal Electronic Health Records.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Treatment effect prediction with adversarial deep learning using electronic health records.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Interpretable clinical prediction via attention-based neural network.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2020

Endpoint prediction of heart failure using electronic health records.

[BibT_eX]

[DOI]

Jiebin Chu

J. Biomed. Informatics, 2020

Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting postoperative non-small cell lung cancer prognosis via long short-term relational regularization.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2020

2019

Adversarial MACE Prediction After Acute Coronary Syndrome Using Electronic Health Records.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2019

Evidential MACE prediction of acute coronary syndrome using electronic health records.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2019

Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2019

Utilizing electronic health records to predict multi-type major adverse cardiovascular events after acute coronary syndrome.

[BibT_eX]

[DOI]

Yi Lu

Knowl. Inf. Syst., 2019

Deep representation learning for individualized treatment effect estimation using electronic health records.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2019

Treatment Effect Prediction with Generative Adversarial Networks Using Electronic Health Records.

[BibT_eX]

[DOI]

Jiebin Chu

Proceedings of the 4th International Workshop on Semantics-Powered Data Mining and Analytics co-located with the 18th International Semantic Web Conference (ISWC 2019), 2019

2018

A Regularized Deep Learning Approach for Clinical Risk Prediction of Acute Coronary Syndrome Using Electronic Health Records.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2018

Probabilistic modeling personalized treatment pathways using electronic health records.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2018

Using neural attention networks to detect adverse medical events from electronic health records.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2018

Relational regularized risk prediction of acute coronary syndrome using electronic health records.

[BibT_eX]

[DOI]

Inf. Sci., 2018

2017

Size Effect of Heat Transport in Microscale Gas Gap.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2017

MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records.

[BibT_eX]

[DOI]

Tak-Ming Chan

J. Biomed. Informatics, 2017

Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2016

Outcome Prediction in Clinical Treatment Processes.

[BibT_eX]

[DOI]

J. Medical Syst., 2016

On mining latent topics from healthcare chat logs.

[BibT_eX]

[DOI]

Tingting Wang

Chenxi Gan

J. Biomed. Informatics, 2016

Incorporating comorbidities into latent treatment pattern mining for clinical pathways.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2016

Predictive monitoring of clinical pathways.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

2015

A probabilistic topic model for clinical risk stratification from electronic health records.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2015

On mining latent treatment patterns from electronic medical records.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2015

On local anomaly detection and analysis for clinical pathways.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2015

Medical Inpatient Journey Modeling and Clustering: A Bayesian Hidden Markov Model Based Approach.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2015, 2015

Predictive Monitoring of Local Anomalies in Clinical Treatment Processes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2015

2014

Similarity Measure Between Patient Traces for Clinical Pathway Analysis: Problem, Method, and Applications.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2014

A genetic fuzzy system for unstable angina risk assessment.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2014

Online Treatment Compliance Checking for Clinical Pathways.

[BibT_eX]

[DOI]

J. Medical Syst., 2014

Discovery of clinical pathway patterns from event logs using probabilistic topic models.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2014

Reprint of "Length of stay prediction for clinical treatment process using temporal similarity".

[BibT_eX]

[DOI]

Expert Syst. Appl., 2014

An ontology-based real-time monitoring approach to clinical pathway.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013

Latent Treatment Pattern Discovery for Clinical Processes.

[BibT_eX]

[DOI]

J. Medical Syst., 2013

Summarizing clinical pathways from event logs.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2013

Length of stay prediction for clinical treatment process using temporal similarity.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

Mining the Changes of Medical Behaviors for Clinical Pathways.

[BibT_eX]

[DOI]

Proceedings of the MEDINFO 2013, 2013

Regularization selection method for LMS-type sparse multipath channel estimation.

[BibT_eX]

[DOI]

Proceedings of the 19th Asia-Pacific Conference on Communications, 2013

Similarity Measuring between Patient Traces for Clinical Pathway Analysis.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2013

2012

A Task Operation Model for Resource Allocation Optimization in Business Process Management.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part A, 2012

Using Recommendation to Support Adaptive Clinical Pathways.

[BibT_eX]

[DOI]

J. Medical Syst., 2012

Resource behavior measure and application in business process management.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

Supporting adaptive clinical treatment processes through recommendations.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2012

Collaboration-based medical knowledge recommendation.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2012

On mining clinical pathway patterns from medical behaviors.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2012

Anomaly detection in clinical processes.

[BibT_eX]

[DOI]

Proceedings of the AMIA 2012, 2012

2011

Mining association rules to support resource allocation in business process management.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2011

Reinforcement learning based resource allocation in business process management.

[BibT_eX]

[DOI]

Wil M. P. van der Aalst

Data Knowl. Eng., 2011

Context-aware recommendation using rough set model and collaborative filtering.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2011

A RFID-based tracking system of endoscopes.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Constructing clinical pathway ontology to incorporate patient state, intervention and time.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

Variation Prediction in Clinical Processes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2011

2010

An adaptive work distribution mechanism based on reinforcement learning.

[BibT_eX]

[DOI]

Wil M. P. van der Aalst