Jiahong Ouyang

Researcher, Inistro Inc.

Joined

September 2018

Names

Jiahong Ouyang (Preferred)

Emails

****@gmail.com (Confirmed)

****@stanford.edu (Confirmed)

****@insitro.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Inistro Inc. (insitro.com)

2024 – 2026

PhD student

Stanford University (stanford.edu)

2019 – 2024

MS student

Carnegie Mellon University (cmu.edu)

2017 – 2018

Advisors, Relations & Conflicts

PhD Advisor

Kilian Pohl

2020 – 2024

PhD Advisor

Greg Zaharchuk

2018 – 2024

Expertise

medical image analysis

medical imaging

2014 – 2024

Publications

Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss
Jiahong Ouyang, Kevin T Chen, Enhao Gong, John M. Pauly
- 01 Nov 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Greg Zaharchuk, Kilian M. Pohl
- 2022 (modified: 01 Nov 2022)
- IEEE Trans. Medical Imaging 2022
- Readers: Everyone
Representation Disentanglement for Multi-modal Brain MRI Analysis
Jiahong Ouyang, Ehsan Adeli, Kilian M. Pohl, Qingyu Zhao, Greg Zaharchuk
- 2021 (modified: 01 Nov 2022)
- IPMI 2021
- Readers: Everyone
Self-supervised Longitudinal Neighbourhood Embedding
Jiahong Ouyang, Qingyu Zhao, Ehsan Adeli, Edith V. Sullivan, Adolf Pfefferbaum, Greg Zaharchuk, Kilian M. Pohl
- 2021 (modified: 01 Nov 2022)
- MICCAI (2) 2021
- Readers: Everyone
Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs
Jiahong Ouyang, Qingyu Zhao, Edith V. Sullivan, Adolf Pfefferbaum, Susan F. Tapert, Ehsan Adeli, Kilian M. Pohl
- 2021 (modified: 01 Nov 2022)
- IEEE J. Biomed. Health Informatics 2021
- Readers: Everyone

Jiahong Ouyang

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss

Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI

Representation Disentanglement for Multi-modal Brain MRI Analysis

Self-supervised Longitudinal Neighbourhood Embedding

Longitudinal Pooling & Consistency Regularization to Model Disease Progression From MRIs

Co-Authors