Generative Machine Learning Models in Medical Image Computing

Edited by Le Zhang (), Chen Chen (), Zeju Li () and Greg Slabaugh ()

in Springer Books from Springer

Date: 2025
ISBN: 978-3-031-80965-1
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Chapters in this book:

Ch Chapter 1 Synthesis of Annotated Data for Medical Image Segmentation

Virginia Fernandez, Pedro Borges, Mark Graham, Walter Hugo Lopez Pinaya, Tom Vercauteren and Jorge Cardoso

Ch Chapter 10 Histopathological Synthetic Augmentation with Generative Models

Jiarong Ye, Peng Jin, Haomiao Ni, Sharon X. Huang and Yuan Xue

Ch Chapter 11 Enhancing PET with Image Generation Techniques: Generating Standard-Dose PET from Low-Dose PET

Caiwen Jiang, Zixin Tang, Zhiming Cui and Dinggang Shen

Ch Chapter 12 EyesGAN: Synthesize Human Face from Human Eyes

Xiaodong Luo and Xiang Chen

Ch Chapter 13 Deep Generative Models for 3D Medical Image Synthesis

Paul Friedrich, Yannik Frisch and Philippe C. Cattin

Ch Chapter 14 Cross-Modal Attention Fusion Based Generative Adversarial Network for Text-to-Image Synthesis

Xiang Chen and Xiaodong Luo

Ch Chapter 15 CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy

Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O’Regan, Daniel Rueckert and Wenjia Bai

Ch Chapter 16 Generative Models for Synthesizing Anatomical Plausible 3D Medical Images

Wei Peng and Kilian M. Pohl

Ch Chapter 17 Diffusion Probabilistic Models for Image Formation in MRI

Şaban Öztürk, Alper Güngör and Tolga Çukur

Ch Chapter 18 Embedding 3D CT Prior into X-ray Imaging Using Generative Adversarial Networks

Han Li, Zhen Huang and S. Kevin Zhou

Ch Chapter 2 Diffusion Models for Histopathological Image Generation

Aman Shrivastava and P. Thomas Fletcher

Ch Chapter 3 Generative AI Techniques for Ultrasound Image Reconstruction

Zixia Zhou, Wei Guo, Yi Guo and Yuanyuan Wang

Ch Chapter 4 Conditional Image Synthesis Using Generative Diffusion Models: Application to Pathological Prostate MR Image Generation

Shaheer U. Saeed and Yipeng Hu

Ch Chapter 5 Analyzing Tumors by Synthesis

Qi Chen, Yuxiang Lai, Xiaoxi Chen, Qixin Hu, Alan Yuille and Zongwei Zhou

Ch Chapter 6 Vision-Language Pre-training from Synthetic Data

Che Liu

Ch Chapter 7 Diffusion Models for Inverse Problems in Medical Imaging

Hyungjin Chung and Jong Chul Ye

Ch Chapter 8 Virtual Elastography Ultrasound via Generative Adversarial Network and Its Application to Breast Cancer Diagnosis

Zhao Yao, Yuanyuan Wang, Min Liu, Jianqiao Zhou and Jinhua Yu

Ch Chapter 9 Generative Adversarial Networks for Brain MR Image Synthesis and Its Clinical Validation on Multiple Sclerosis

Hongwei Bran Li and Bene Wiestler

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DOI: 10.1007/978-3-031-80965-1

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