Advancing Multimodal Medical Image Generation: A Self‐Improving Generative Foundation Model

Authors

Yongjian Chen (ORCID: https://orcid.org/0000-0002-2930-8450)
Lui Ng (ORCID: https://orcid.org/0000-0002-9010-2654)

Institutions

Chinese University of Hong Kong (HK)
Karolinska Institutet (SE)
University of Hong Kong (HK)

Publication Details

Journal: MedComm
Published: 2025-12-01
DOI: https://doi.org/10.1002/mco2.70490
Primary Topic: Generative Adversarial Networks and Image Synthesis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Advancing Multimodal Medical Image Generation: A Self‐Improving Generative Foundation Model

Yongjian Chen, Lui Ng

Dec 1, 2025

MedComm

Generative Adversarial Networks and Image Synthesis

article

Advancing Multimodal Medical Image Generation: A Self‐Improving Generative Foundation Model

Yongjian Chen, Lui Ng

December 1, 2025article en

Abstract

No abstract available for this paper.

MedCommVol. 6(12)

Chinese University of Hong Kong (HK), Karolinska Institutet (SE), University of Hong Kong (HK)

Openalex Percentile: Top 58%

Generative Adversarial Networks and Image Synthesis

DOI Open Access PDF OpenAlex

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Advancing Multimodal Medical Image Generation: A Self‐Improving Generative Foundation Model — Yongjian Chen, Lui Ng · MedComm (2025) | TGRS Research Map | TGRS