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Generative Machine Learning Models in Medical Image Computing
Editor
Listed:
- Le Zhang(University of Birmingham, School of Engineering)Chen Chen(University of Sheffield)Zeju Li(Oxford University)Greg Slabaugh(Queen Mary University of London)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), 2025. "Generative Machine Learning Models in Medical Image Computing," Springer Books, Springer, number 978-3-031-80965-1, January.
Handle: RePEc:spr:sprbok:978-3-031-80965-1
DOI: 10.1007/978-3-031-80965-1Download full text from publisher
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The following chapters of this book are listed in IDEAS- Virginia Fernandez & Pedro Borges & Mark Graham & Walter Hugo Lopez Pinaya & Tom Vercauteren & Jorge Cardoso, 2025. "Synthesis of Annotated Data for Medical Image Segmentation," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 3-24, Springer.
- Aman Shrivastava & P. Thomas Fletcher, 2025. "Diffusion Models for Histopathological Image Generation," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 25-43, Springer.
- Zixia Zhou & Wei Guo & Yi Guo & Yuanyuan Wang, 2025. "Generative AI Techniques for Ultrasound Image Reconstruction," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 45-63, Springer.
- Shaheer U. Saeed & Yipeng Hu, 2025. "Conditional Image Synthesis Using Generative Diffusion Models: Application to Pathological Prostate MR Image Generation," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 65-82, Springer.
- Qi Chen & Yuxiang Lai & Xiaoxi Chen & Qixin Hu & Alan Yuille & Zongwei Zhou, 2025. "Analyzing Tumors by Synthesis," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 85-110, Springer.
- Che Liu, 2025. "Vision-Language Pre-training from Synthetic Data," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 111-128, Springer.
- Hyungjin Chung & Jong Chul Ye, 2025. "Diffusion Models for Inverse Problems in Medical Imaging," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 129-148, Springer.
- Zhao Yao & Yuanyuan Wang & Min Liu & Jianqiao Zhou & Jinhua Yu, 2025. "Virtual Elastography Ultrasound via Generative Adversarial Network and Its Application to Breast Cancer Diagnosis," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 149-163, Springer.
- Hongwei Bran Li & Bene Wiestler, 2025. "Generative Adversarial Networks for Brain MR Image Synthesis and Its Clinical Validation on Multiple Sclerosis," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 165-180, Springer.
- Jiarong Ye & Peng Jin & Haomiao Ni & Sharon X. Huang & Yuan Xue, 2025. "Histopathological Synthetic Augmentation with Generative Models," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 183-207, Springer.
- Caiwen Jiang & Zixin Tang & Zhiming Cui & Dinggang Shen, 2025. "Enhancing PET with Image Generation Techniques: Generating Standard-Dose PET from Low-Dose PET," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 209-229, Springer.
- Xiaodong Luo & Xiang Chen, 2025. "EyesGAN: Synthesize Human Face from Human Eyes," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 231-251, Springer.
- Paul Friedrich & Yannik Frisch & Philippe C. Cattin, 2025. "Deep Generative Models for 3D Medical Image Synthesis," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 255-278, Springer.
- Xiang Chen & Xiaodong Luo, 2025. "Cross-Modal Attention Fusion Based Generative Adversarial Network for Text-to-Image Synthesis," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 279-299, Springer.
- Mengyun Qiao & Shuo Wang & Huaqi Qiu & Antonio de Marvao & Declan P. O’Regan & Daniel Rueckert & Wenjia Bai, 2025. "CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 301-321, Springer.
- Wei Peng & Kilian M. Pohl, 2025. "Generative Models for Synthesizing Anatomical Plausible 3D Medical Images," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 323-339, Springer.
- Şaban Öztürk & Alper Güngör & Tolga Çukur, 2025. "Diffusion Probabilistic Models for Image Formation in MRI," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 341-360, Springer.
- Han Li & Zhen Huang & S. Kevin Zhou, 2025. "Embedding 3D CT Prior into X-ray Imaging Using Generative Adversarial Networks," Springer Books, in: Le Zhang & Chen Chen & Zeju Li & Greg Slabaugh (ed.), Generative Machine Learning Models in Medical Image Computing, chapter 0, pages 361-382, Springer.
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