Richard J. Chen

Richard J. Chen

Harvard University

H-index: 25

North America-United States

About Richard J. Chen

Richard J. Chen, With an exceptional h-index of 25 and a recent h-index of 23 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Computational Biology, Representation Learning, Computer Vision, Digital Health, Computational.

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

Are Stronger Feature Representations All You Need for Histology Image Search?

Towards a general-purpose foundation model for computational pathology

A visual-language foundation model for computational pathology

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Algorithmic fairness in artificial intelligence for medicine and healthcare

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction

Abstract PR005: Deep learning-based multimodal integration of histology and genomics improves cancer origin prediction

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

Richard J. Chen Information

University

Position

PhD Student at

Citations(all)

3932

Citations(since 2020)

3894

Cited By

481

hIndex(all)

25

hIndex(since 2020)

23

i10Index(all)

29

i10Index(since 2020)

29

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Richard J. Chen Skills & Research Interests

Computational Biology

Representation Learning

Computer Vision

Digital Health

Computational

Top articles of Richard J. Chen

Title

Journal

Author(s)

Publication Date

Are Stronger Feature Representations All You Need for Histology Image Search?

Richard J Chen

Faisal Mahmood

2024/4/25

Towards a general-purpose foundation model for computational pathology

Nature Medicine

Richard J Chen

Tong Ding

Ming Y Lu

Drew FK Williamson

Guillaume Jaume

...

2024/3/19

A visual-language foundation model for computational pathology

Nature Medicine

Ming Y Lu

Bowen Chen

Drew FK Williamson

Richard J Chen

Ivy Liang

...

2024/3

Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework

Advances in Neural Information Processing Systems

Paul Pu Liang

Yun Cheng

Xiang Fan

Chun Kai Ling

Suzanne Nie

...

2024/2/13

Algorithmic fairness in artificial intelligence for medicine and healthcare

Richard J Chen

Judy J Wang

Drew FK Williamson

Tiffany Y Chen

Jana Lipkova

...

2023/6

Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction

arXiv preprint arXiv:2304.06819

Guillaume Jaume

Anurag Vaidya

Richard Chen

Drew Williamson

Paul Liang

...

2023/4/13

Abstract PR005: Deep learning-based multimodal integration of histology and genomics improves cancer origin prediction

Cancer Research

Muhammad Shaban

Ming Y Lu

Drew FK Williamson

Richard J Chen

Jana Lipkova

...

2023/1/15

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

Ming Y Lu

Bowen Chen

Andrew Zhang

Drew FK Williamson

Richard J Chen

...

2023

A Foundational Multimodal Vision Language AI Assistant for Human Pathology

arXiv preprint arXiv:2312.07814

Ming Y Lu

Bowen Chen

Drew FK Williamson

Richard J Chen

Kenji Ikamura

...

2023/12/13

Artificial intelligence for multimodal data integration in oncology

Jana Lipkova

Richard J Chen

Bowen Chen

Ming Y Lu

Matteo Barbieri

...

2022/10/10

Deep learning-based integration of histology, radiology, and genomics for improved survival prediction in glioma patients

Luoting Zhuang

Jana Lipkova

Richard Chen

Faisal Mahmood

2022/4/4

Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling

Iain Carmichael*

Andrew H Song*

Richard J Chen

Drew FK Williamson

Tiffany Y Chen

...

2022

Deep Learning-Enabled Assessment of Cardiac Allograft Rejection from Endomyocardial Biopsies

Nature medicine

Jana Lipkova

Tiffany Y Chen

Ming Y Lu

Richard J Chen

Maha Shady

...

2022/3

Systems and methods for detecting cognitive decline with mobile devices

2022/9/1

Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

arXiv preprint arXiv:2203.00585

Richard J Chen

Rahul G Krishnan

2022/3/1

Pan-cancer integrative histology-genomic analysis via multimodal deep learning

Cancer Cell

Richard J Chen

Ming Y Lu

Drew FK Williamson

Tiffany Y Chen

Jana Lipkova

...

2022/8/8

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

Medical image analysis

Ming Y Lu

Richard J Chen

Dehan Kong

Jana Lipkova

Rajendra Singh

...

2022/2/1

Multimodal fusion for diagnosis, prognosis, and therapeutic response prediction

2022/11/17

Multimodal AI-based assessment of renal allograft biopsies

J Pathol Inform

Sharifa Sahai

Richard J Chen

Jana Lipova

Kuan Chen

Tiffany Chen

...

2022/1/1

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Richard J Chen

Chengkuan Chen

Yicong Li

Tiffany Y Chen

Andrew D Trister

...

2022

See List of Professors in Richard J. Chen University(Harvard University)

Co-Authors

H-index: 138
Alan Yuille

Alan Yuille

Johns Hopkins University

H-index: 32
Paul Pu Liang

Paul Pu Liang

Carnegie Mellon University

H-index: 27
Nicholas J. Durr

Nicholas J. Durr

Johns Hopkins University

H-index: 22
Jana Lipkova

Jana Lipkova

Harvard University

H-index: 21
Wei-Hung Weng

Wei-Hung Weng

Massachusetts Institute of Technology

H-index: 17
Drew FK Williamson, MD

Drew FK Williamson, MD

Harvard University

academic-engine