Oliver Y. Chén

Oliver Y. Chén

University of Oxford

H-index: 20

Europe-United Kingdom

About Oliver Y. Chén

Oliver Y. Chén, With an exceptional h-index of 20 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of statistics, machine learning, neuroscience, digital health.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Relationship between Vogler Algorithm Derivation and Parabolic Equation for Multiple Knife Edge Diffraction

Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer’s Disease

Improving automatic sleep staging via temporal smoothness regularization

Transfer learning on structural brain age models to decode cognition in MS: a federated learning approach

The Statistical Analysis of the Varying Brain

Statistical Quantile Learning for Large, Nonlinear, and Additive Latent Variable Models

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones

The roles, challenges, and merits of the p value

Oliver Y. Chén Information

University

Position

___

Citations(all)

2193

Citations(since 2020)

2167

Cited By

534

hIndex(all)

20

hIndex(since 2020)

20

i10Index(all)

26

i10Index(since 2020)

26

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Oliver Y. Chén Skills & Research Interests

statistics

machine learning

neuroscience

digital health

Top articles of Oliver Y. Chén

Title

Journal

Author(s)

Publication Date

On the Relationship between Vogler Algorithm Derivation and Parabolic Equation for Multiple Knife Edge Diffraction

IEEE Transactions on Antennas and Propagation

Viet-Dung Nguyen

Huy Phan

Oliver Y Chén

Ali Mansour

Arnaud Coatanhay

...

2024/4/4

Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer’s Disease

bioRxiv

Oliver Y Chen

Duy Thanh Vũ

Christelle Schneuwly Diaz

Julien S Bodelet

Huy Phan

...

2024/3/13

Improving automatic sleep staging via temporal smoothness regularization

Huy Phan

Elisabeth Heremans

Oliver Y Chén

Philipp Koch

Alfred Mertins

...

2023/6/4

Transfer learning on structural brain age models to decode cognition in MS: a federated learning approach

medRxiv

Stijn Denissen

Matthias Grothe

Manuela Vaněčková

Tomáš Uher

Jorne Laton

...

2023/4/26

The Statistical Analysis of the Varying Brain

Oliver Y Chén

Duy Thanh Vũ

Gilbert Greub

Hengyi Cao

Xingru He

...

2023/7/2

Statistical Quantile Learning for Large, Nonlinear, and Additive Latent Variable Models

arXiv:2003.13119

Julien Bodelet

Guillaume Blanc

Jiajun Shan

Graciela Muniz Terrera

Oliver Y. Chén

2023/12/28

Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones

IEEE Journal of Biomedical and Health Informatics (JBHI)

Oliver Y Chén

Florian Lipsmeier

Huy Phan

Frank Dondelinger

Andrew Creagh

...

2023/7

The roles, challenges, and merits of the p value

Patterns

Oliver Y Chén

Julien S Bodelet

Raúl G Saraiva

Huy Phan

Junrui Di

...

2023/12/8

L-SeqSleepNet: Whole-cycle long sequence modelling for automatic sleep staging

IEEE Journal of Biomedical and Health Informatics (JBHI)

Huy Phan

Kristian P Lorenzen

Elisabeth Heremans

Oliver Y Chén

Minh C Tran

...

2023/10

Sleeptransformer: Automatic sleep staging with interpretability and uncertainty quantification

IEEE Transactions on Biomedical Engineering (TBME)

Huy Phan

Kaare Mikkelsen

Oliver Y Chén

Philipp Koch

Alfred Mertins

...

2022/8

Probing Potential Priming: Defining, Quantifying, and Testing the Causal Priming Effect Using the Potential Outcomes Framework

Frontiers in Psychology

Oliver Y Chén

Huy Phan

Hengyi Cao

Tianchen Qian

Maarten De Vos

2022/9/13

Uniting Machine Intelligence, Brain and Behavioural Sciences to Assist Criminal Justice

arXiv:2207.01511

Oliver Y. Chén

2022/6/30

Self-attention generative adversarial network for speech enhancement

Acoustics, Speech and Signal Processing (ICASSP 2021), 46th IEEE International Conference on

Huy Phan

Huy Le Nguyen

Oliver Y Chén

Philipp Koch

Ngoc QK Duong

...

2021/6

XSleepNet: Multi-view sequential model for automatic sleep staging

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Huy Phan

Oliver Y Chén

Minh C Tran

Philipp Koch

Alfred Mertins

...

2022/9/1

Personalized Health Care and Public Health in the Digital Age

Frontiers in Digital Health

Oliver Y. Chén

Bryn Roberts

2021/3/30

Towards multimodal machine learning prediction of individual cognitive evolution in multiple sclerosis

Stijn Denissen

Oliver Y Chén

Johan De Mey

Maarten De Vos

Jeroen Van Schependom

...

2021/12/11

Identifying Neural Signatures Mediating Behavioral Symptoms and Psychosis Onset: High-Dimensional Whole Brain Functional Mediation Analysis

NeuroImage

Oliver Y Chén

Hengyi Cao

Huy Phan

Guy Nagels

Jenna M Reinen

...

2021/2/1

On statistical analysis of brain variability

Oliver Y Chén

Huy Phan

Guy Nagels

Maarten de Vos

2021/9/23

Multi-view audio and music classification

Acoustics, Speech and Signal Processing (ICASSP 2021), 46th IEEE International Conference on

Huy Phan

Huy Le Nguyen

Oliver Y Chén

Lam Pham

Philipp Koch

...

2021/6

The Bayesian‐Laplacian brain

Semir Zeki

Oliver Y Chén

2020/3

See List of Professors in Oliver Y. Chén University(University of Oxford)

Co-Authors

H-index: 122
Tyrone Cannon

Tyrone Cannon

Yale University

H-index: 67
Brian Caffo

Brian Caffo

Johns Hopkins University

H-index: 55
Maarten De Vos

Maarten De Vos

Katholieke Universiteit Leuven

academic-engine