Zhijian Yang

Researcher, Google

Joined

September 2021

Names

Zhijian Yang (Preferred)

Emails

****@sas.upenn.edu (Confirmed)

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

ORCID

Career & Education History

Researcher

Google (google.com)

2025 – Present

Researcher

GE HealthCare (gehealthcare.com)

2024 – 2025

PhD student

University of Pennsyvania (sas.upenn.edu)

2019 – 2024

Undergrad student

New York University (nyu.edu)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Christos Davatzikos

Present

Coauthor

Junhao Wen

Present

Coworker

Cao Xiao

Present

Coworker

Erhan Bas

Present

Expertise

Representation learning

Present

generative modeling

Present

medical image analysis

Present

GAN

Present

Self-supervised learning

Present

healthcare

Present

Brain imaging

Present

Neurological diseases

Present

Disease heterogeneity

Present

Publications

Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
Zhijian Yang, Junhao Wen, Christos Davatzikos
- Nature Communications
- Readers: Everyone
A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure
Zhijian Yang, Ilya Nasrallah, Christos Davatzikos
- Nature Communications
- Readers: Everyone
Multiscale Estimation of Morphometricity for Revealing Neuroanatomical Basis of Cognitive Traits
Zixuan Wen, Jingxuan Bao, Shu Yang, Junhao Wen, Qipeng Zhan, Yuhan Cui, Güray Erus, Zhijian Yang, Paul M. Thompson, Yize Zhao, Christos Davatzikos, Li Shen
- ISBI 2024
- Readers: Everyone
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning
Junhao Wen, Mathilde Antoniades, Zhijian Yang, Gyujoon Hwang, Ioanna Skampardoni, Rongguang Wang, Christos Davatzikos
- CoRR 2024
- Readers: Everyone
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease
Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen
- NeuroImage 2023
- Readers: Everyone
Applications of generative adversarial networks in neuroimaging and clinical neuroscience
Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli, Ioanna Skampardoni, Lasya P. Sreepada, Dushyant Sahoo, Konstantina S. Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos
- Apr 2023 (modified: 24 Apr 2023)
- NeuroImage 2023
- Readers: Everyone
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus et al. (8 additional authors not shown)
- Published: 01 Jan 2023, Last Modified: 28 Jun 2023
- CoRR 2023
- Readers: Everyone
Subtyping brain diseases from imaging data
Junhao Wen, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis, Christos Davatzikos
- CoRR 2022
- Readers: Everyone
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns
Zhijian Yang, Junhao Wen, Christos Davatzikos
- ICLR 2022
- Readers: Everyone
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, Christos Pantelis et al. (10 additional authors not shown)
- Medical Image Anal. 2022
- Readers: Everyone

View all 17 publications

Co-Authors

View all 86 co-authors