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Author Details

Fei Wang
Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute
2012
48
17
PMIDPaper TitleJournal TitlePublished Year
35786562Neural Network Gaussian Processes by Increasing Depth.IEEE Trans Neural Netw Learn Syst2024
35786562Neural Network Gaussian Processes by Increasing Depth.IEEE Trans Neural Netw Learn Syst2024
35100124ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization.IEEE Trans Neural Netw Learn Syst2023
37756170Multi-View Discrete Clustering: A Concise Model.IEEE Trans Pattern Anal Mach Intell2023
37738611Generalizability of a Machine Learning Model for Improving Utilization of Parathyroid Hormone-Related Peptide Testing across Multiple Clinical Centers.Clin Chem2023
37812781Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.Ann Intern Med2023
37995168On Expressivity and Trainability of Quadratic Networks.IEEE Trans Neural Netw Learn Syst2023
37803009Improving model fairness in image-based computer-aided diagnosis.Nat Commun2023
37709945A translational perspective towards clinical AI fairness.NPJ Digit Med2023
37029117Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.Nat Commun2023
35100124ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization.IEEE Trans Neural Netw Learn Syst2023
37756170Multi-View Discrete Clustering: A Concise Model.IEEE Trans Pattern Anal Mach Intell2023
37803009Improving model fairness in image-based computer-aided diagnosis.Nat Commun2023
37709945A translational perspective towards clinical AI fairness.NPJ Digit Med2023
37995168On Expressivity and Trainability of Quadratic Networks.IEEE Trans Neural Netw Learn Syst2023
37738611Generalizability of a Machine Learning Model for Improving Utilization of Parathyroid Hormone-Related Peptide Testing across Multiple Clinical Centers.Clin Chem2023
37812781Implications of the Use of Artificial Intelligence Predictive Models in Health Care Settings : A Simulation Study.Ann Intern Med2023
37029117Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative.Nat Commun2023
35236540A call for open data to develop mental health digital biomarkers.BJPsych Open2022
35655819Synthesis of magnetic resonance images from computed tomography data using convolutional neural network with contextual loss function.Quant Imaging Med Surg2022
35831356Development of a screening algorithm for borderline personality disorder using electronic health records.Sci Rep2022
35609096Fast Multiview Clustering With Spectral Embedding.IEEE Trans Image Process2022
35476787Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies.PLoS One2022
35236540A call for open data to develop mental health digital biomarkers.BJPsych Open2022
35476787Machine learning for passive mental health symptom prediction: Generalization across different longitudinal mobile sensing studies.PLoS One2022
35609096Fast Multiview Clustering With Spectral Embedding.IEEE Trans Image Process2022
35831356Development of a screening algorithm for borderline personality disorder using electronic health records.Sci Rep2022
35655819Synthesis of magnetic resonance images from computed tomography data using convolutional neural network with contextual loss function.Quant Imaging Med Surg2022
33360992Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.IEEE Trans Image Process2021
33934500Creation of aromatic maize by CRISPR/Cas.J Integr Plant Biol2021
33360992Fast Multi-View Clustering via Nonnegative and Orthogonal Factorization.IEEE Trans Image Process2021
33400679Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.JMIR Med Inform2021
33934500Creation of aromatic maize by CRISPR/Cas.J Integr Plant Biol2021
33400679Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach.JMIR Med Inform2021
32817979Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.medRxiv2020
31842204Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?Ann Intern Med2020
32817979Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.medRxiv2020
31842204Should Health Care Demand Interpretable Artificial Intelligence or Accept "Black Box" Medicine?Ann Intern Med2020
29218867Cell-specific prediction and application of drug-induced gene expression profiles.Pac Symp Biocomput2018
28481991Deep learning for healthcare: review, opportunities and challenges.Brief Bioinform2018
29908902A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.J Biomed Inform2018
29218867Cell-specific prediction and application of drug-induced gene expression profiles.Pac Symp Biocomput2018
29908902A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.J Biomed Inform2018
28481991Deep learning for healthcare: review, opportunities and challenges.Brief Bioinform2018
28815120Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation.AMIA Jt Summits Transl Sci Proc2017
28815120Integrating Temporal Pattern Mining in Ischemic Stroke Prediction and Treatment Pathway Discovery for Atrial Fibrillation.AMIA Jt Summits Transl Sci Proc2017
28269914Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients.AMIA Annu Symp Proc2017
28269914Predicting Negative Events: Using Post-discharge Data to Detect High-Risk Patients.AMIA Annu Symp Proc2017
27390219Which Doctor to Trust: A Recommender System for Identifying the Right Doctors.J Med Internet Res2016
27390219Which Doctor to Trust: A Recommender System for Identifying the Right Doctors.J Med Internet Res2016
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Collaborators

Jianying Hu
Center for Computational Health
Co-authored papers 20
Ping Zhang
The Ohio State University
Co-authored papers 7
Jimeng Sun
University of Illinois Urbana-Champaign.
Co-authored papers 5
Adam Perer
Human-Computer Interaction Institute, Carnegie Mellon University
Co-authored papers 4
Zahi A Fayad
Co-authored papers 3
Jie Xu
University of Florida Gainesville Florida USA.
Co-authored papers 3
Riccardo Miotto
Icahn School of Medicine at Mount Sinai
Co-authored papers 3
Benjamin S Glicksberg
Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai
Co-authored papers 3
Girish N Nadkarni
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Erwin P Bottinger
Hasso Plattner Institute for Digital Health at Mount Sinai
Co-authored papers 2
Sulaiman Somani
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Shuang Wang
Shanghai Putuo People's Hospital, Tongji University
Co-authored papers 2
Eyal Klang
Sheba Medical Center
Co-authored papers 2
Alexander W Charney
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Anthony B Costa
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Joel T Dudley
Institute for Next Generation Healthcare
Co-authored papers 2
Jessica K De Freitas
Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Xiaoqian Jiang
Carnegie Mellon University, The University of Texas Health Science Center at Houston, University of California San Diego
Co-authored papers 2
Kipp W Johnson
Co-authored papers 2
Shahram Ebadollahi
Co-authored papers 2
David C Mohr
School of Public Health, Boston University
Co-authored papers 1
Mark G Weiner
Weill Cornell Medical College
Co-authored papers 1
Jie Xu
University of Florida
Co-authored papers 1
Andrew F Laine
Columbia University
Co-authored papers 1
Yingxiang Huang
Beijing Friendship Hospital, Capital Medical University
Co-authored papers 1
Kenney Ng
Center for Computational Health
Co-authored papers 1
Avi Ma'ayan
Icahn School of Medicine at Mount Sinai
Co-authored papers 1
Walter F Stewart
Medcurio Inc.
Co-authored papers 1
Qiaonan Duan
Co-authored papers 1
Zoran Obradovic
Center for Data Analytics and Biomedical Informatics, Temple University
Co-authored papers 1
Release 1.2