Methods and Strategies for Integrating Medical Images Acquired from Distinct Modalities

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ORIGINAL RESEARCH

Published on 03 Sep 2025

A clinical study incorporating multimodal 18F-FDG PET/CT metabolic parameters, genetic markers, and clinical characteristics for the evaluation and prediction of treatment efficacy and prognosis in Langerhans cell histiocytosis

Zizhen Huang
Wanling Qi
Tian Rao
Qingyun Zeng
Ping Lu
Jie Zhang
Zhibin Qiu
Guihua Xiao
Qian Liu
1 more
Fengxiang Liao

doi 10.3389/fmed.2025.1619967

846 views

ORIGINAL RESEARCH

Published on 01 Sep 2025

Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics

Tianming Du
Tao Jiang
Xuanyi Li
Md Mamunur Rahaman
Marcin Grzegorzek
Chen Li

doi 10.3389/fmed.2025.1608652

1,028 views

ORIGINAL RESEARCH

Accepted on 29 Aug 2025

High-Fidelity Medical Image Generation: Controllable Synthesis of High-Resolution Medical Images via Hierarchical Fusion in Vector-Quantized Generative Networks

Guangfa Tang
Shanshan Cai
Xiangjun Meng
Siyan Huo
Mengbo Wang
Zichen Lu
Zhuokang Chen
Xiaoling Luo

doi 10.3389/fphy.2025.1661146

952 views

ORIGINAL RESEARCH

Published on 22 Jul 2025

Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis

Xiaobing Li
Qian Li
Xinyi Xie
Wei Wang
Xuemei Li
Tingqiang Zhang
Li Zhang
Yongsheng Liu
Li Wang
Wutao Xie

doi 10.3389/fmed.2025.1599739

1,438 views

REVIEW

Published on 16 Jul 2025

A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis

Yan Liu
Tao Jiang
Rui Li
Lingling Yuan
Marcin Grzegorzek
Chen Li
Xiaoyan Li

doi 10.3389/fmed.2025.1551894

2,346 views

ORIGINAL RESEARCH

Published on 28 Apr 2025

Automatic segmentation and volume measurement of anterior visual pathway in brain 3D-T1WI using deep learning

Yongliang Han
Haixiang Wang
Qi Luo
Jingjie Wang
Chun Zeng
Qiao Zheng
Linquan Dai
Yiqiu Wei
Qiyuan Zhu
2 more
Yongmei Li

doi 10.3389/fmed.2025.1530361

1,066 views

ORIGINAL RESEARCH

Published on 13 Feb 2025

Impact of comorbid burden on global left cardiac function and prediction models for myocardial function damage: a cardiac magnetic resonance feature-tracking study

XiaoFeng Qu
Miaomiao Bai
Jianbo Lyu
Lili Yin
Jiahui Zhang
Endong Zhao
Lingjun Mei

doi 10.3389/fmed.2025.1525334

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Nuclear Medicine

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Articles

A clinical study incorporating multimodal 18F-FDG PET/CT metabolic parameters, genetic markers, and clinical characteristics for the evaluation and prediction of treatment efficacy and prognosis in Langerhans cell histiocytosis

Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics

High-Fidelity Medical Image Generation: Controllable Synthesis of High-Resolution Medical Images via Hierarchical Fusion in Vector-Quantized Generative Networks

Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis

A state-of-the-art review of diffusion model applications for microscopic image and micro-alike image analysis

Automatic segmentation and volume measurement of anterior visual pathway in brain 3D-T1WI using deep learning

Impact of comorbid burden on global left cardiac function and prediction models for myocardial function damage: a cardiac magnetic resonance feature-tracking study

Frontiers in Medicine

Nuclear Medicine