Synthetic Tumors in Medical Imaging

• ❤ We provide a comprehensive list of tumor synthesis in medical imaging.

Paper

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes Ibrahim Ethem Hamamci, Sezgin Er, et al. ECCV | 11 Mar 2024 paper

Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models Nicholas Konz, Yuwen Chen, Haoyu Dong, Maciej A. Mazurowski MICCAI | 19 Jun 2024 paper

FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis Linshan Wu, Jiaxin Zhuang, Xuefeng Ni, Hao Chen arXiv | 3 Jun 2024 paper

Generative Enhancement for 3D Medical Images Lingting Zhu1, Noel Codella, Dongdong Chen, Zhenchao Jin, Lu Yuan, Lequan Yu arXiv | 24 May 2024 paper

LeFusion: Synthesizing Myocardial Pathology on Cardiac MRI via Lesion-Focus Diffusion Models Hantao Zhang, Jiancheng Yang, Shouhong Wan, Pascal Fua arXiv | 21 Mar 2024 paper

From Pixel to Cancer: Cellular Automata in Computed Tomography Yuxiang Lai, Xiaoxi Chen, Angtian Wang, Alan Yuille, Zongwei Zhou MICCAI | 13 May 2024 paper

Towards Generalizable Tumor Synthesis Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan Yuille, Chen Wei, Zongwei Zhou CVPR | 29 Feb 2024 paper

Virtual elastography ultrasound via generative adversarial network for breast cancer diagnosis Zhao Yao, Ting Luo, et al. Nature Communications | 11 Feb 2023 paper

SynFundus: Generating a synthetic fundus images dataset with millions of samples and multi-disease annotations Fangxin Shang, Jie Fu, Yehui Yang, Lei Ma arXiv | 1 Dec 2023 paper

Human brain responses are modulated when exposed to optimized natural images or synthetically generated images Zijin Gu, Keith Jamison, Mert R. Sabuncu, Amy Kuceyeski Communications Biology | 23 Oct 2023 paper

Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research Bardia Khosravi, Frank Li, Theo Dapamede, Pouria Rouzrokh, et al. arXiv | 15 Nov 2023 paper

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models Fernandez, Virginia and Sanchez, Pedro and Pinaya, Walter Hugo Lopez and Jacenkow, Grzegorz and Tsaftaris, Sotirios A and Cardoso, Jorge arXiv | 2 Jun 2023 paper

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias, for the ADNI Medical Image Analysis | 25 Feb 2023 paper

Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection Zhenrong Shen, Xi Ouyang, Bin Xiao, Jie-Zhi Cheng, Dinggang Shen, Qian Wang MEDIA | Feb 2023 paper

Unsupervised Liver Tumor Segmentation with Pseudo Anomaly Synthesis Zhaoxiang Zhang, Hanqiu Deng, Xingyu Li SASHIMI Workshop on Simulation and Synthesis in Medical Imaging | 7 Oct 2023 paper

Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis Bowen Li, Yu-Cheng Chou, Shuwen Sun, Hualin Qiao, Alan Yuille, Zongwei Zhou MICCAI Workshop on Big Task Small Data | 30 Sep 2023 paper

How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound Menghan Yu, Sourabh Kulhare, Courosh Mehanian, Charles B Delahunt, Daniel E Shea, Zohreh Laverriere, Ishan Shah, Matthew P Horning paper

You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images Xiaodan Xiang, Federico Felder, Yang Nan, Giorgos Papanastasiou, Walsh Simon, Guang Yang MICCAI | 25 May 2023 paper

Label-Free Liver Tumor Segmentation Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan Yuille, Zongwei Zhou CVPR | 27 March 2023 paper

Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis Cong Gao, Benjamin D. Killeen, Yicheng Hu, Robert B. Grupp, Russell H. Taylor, Mehran Armand, Mathias Unberath Nature Machine Intelligence | 20 March 2023 paper | dataset

Pseudo-Label Guided Image Synthesis for Semi-Supervised COVID-19 Pneumonia Infection Segmentation Fei Lyu, Mang Ye, Jonathan Frederik Carlsen, Kenny Erleben, Sune Darkner, Pong C Yuen IEEE TMI | 02 March 2023 paper

Image Turing test and its applications on synthetic chest radiographs by using the progressive growing generative adversarial network Miso Jang, Hyun-jin Bae, Minjee Kim, Seo Young Park, A-yeon Son, Se Jin Choi, Jooae Choe, Hye Young Choi, Hye Jeon Hwang, Han Na Noh, Joon Beom Seo, Sang Min Lee & Namkug Kim Scientific Reports | 09 February 2023 paper

Self-supervised Tumor Segmentation with Sim2Real Adaptation Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, Yanfeng Wang IEEE BHI | 31 January 2023 paper

Synthetic Tumors Make AI Segment Tumors Better Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jie-Neng Chen, Alan Yuille, Zongwei Zhou Medical Imaging Meets NeurIPS | 26 October 2022 paper

Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation Zihan Wei, Yizhou Chen, Qiu Guan, et al. ICANN | 07 September 2022 paper

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich IEEE JBHI | 9 August 2022 paper

Anomaly segmentation in retinal images with poisson-blending data augmentation Hualin Wang, Yuhong Zhou, Jiong Zhang, Jianqin Lei, Dongke Sun, Feng Xu, Xiayu Xu Medical Image Analysis | 10 July 2022 paper

Learning From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation Fei Lyu, Mang Ye, Andy J. Ma, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Pong C. Yuen IEEE TMI | 11 April 2022 paper

Virtual reality for synergistic surgical training and data generation Adnan Munawar, Zhaoshuo Li, et al. AE-CAI MICCAI | 15 November 2021 paper

Label-Free Segmentation of COVID-19 Lesions in Lung CT Qingsong Yao, Li Xiao, Peihang Liu, S Kevin Zhou IEEE TMI | 24 March 2021 paper

Free-form tumor synthesis in computed tomography images via richer generative adversarial network Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su Knowledge-Based Systems | 5 January 2021 paper

Time-series Generative Adversarial Networks Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar NeurIPS | 8 December 2019 paper

Generating large labeled data sets for laparoscopic image processing tasks using unpaired image-to-image translation Micha Pfeiffer, Isabel Funke, et al. MICCAI | 5 July 2019 paper | dataset

Abnormal colon polyp image synthesis using conditional adversarial networks for improved detection performance Younghak Shin; Hemin Ali Qadir; Ilangko Balasingham IEEE Access | 27 June 2019 paper

Synthesizing diverse lung nodules wherever massively: 3d multiconditional gan-based ct image augmentation for object detection Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, Hideki Nakayama 3DV | 12 June 2019 paper