Author

Gary H. Chang

National Taiwan UniversityORCID 0000-0002-7732-800XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 3 Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:contrastive learning· 1 Research Focus:dimensionality reduction· 1 Assay:multiome· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Puwei Lian· 2 shared Tzu‐Yi ChuangiD· 2 shared Anant S. Joshi· 1 shared Ann-Shyn Chiang· 1 shared Arun SwaminathaniD· 1 shared Brigid C. DwyeriD· 1 shared Chonghua Xue· 1 shared Cody KarjadiiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersBioinformatics

Puwei Lian

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 10, 2026

Latent-centric Isotropic Resolution Enhancement for Expansion Microscopy Imaging via Neural Compression and Self-supervised Learning

Puwei Lian, Tzu‐Yi Chuang, Ya-Ding Liu…·Gary H. Chang

This paper introduces a self-supervised framework for isotropic super-resolution and compression in expansion microscopy, enabling efficient storage and analysis of whole-organ datasets.

DOI 10.64898/2026.02.09.704755

imagingvariational autoencoder

BioinformaticsbioRxivPreprintMay 4, 2023

Identification of Pain-Associated Effusion-Synovitis from Knee Magnetic Resonance Imaging by Deep Generative Networks

Puwei Lian, Tzu‐Yi Chuang, Yi-Hsuan Yen, Gary H. Chang

This study uses deep generative networks to identify pain-associated effusion-synovitis in knee MRI scans and finds subregion-specific associations with pain symptoms.

DOI 10.1101/2023.05.04.539501

humanimaging

NeuroscienceBrainPeer-reviewedApr 8, 2020

Development and validation of a deep learning framework for Alzheimers disease classification

Shangran Qiu, Prajakta S. Joshi, Matthew I. Miller…·Vijaya B. Kolachalama

This paper develops a deep learning framework that classifies Alzheimer's disease using MRI, age, gender, and MMSE scores, achieving high accuracy across multiple datasets.

474 citationstop 1%

humanmultiome