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We demonstrate that AI models can accurately segment liver tumors without the need for manual annotation by using synthetic tumors in CT scans.
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The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
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Da Li, Yongxin Yang, Yi-Zhe Song, and Timothy M. Hospedales · 2017
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Visda: The visual domain adaptation challenge
Xingchao Peng, Ben Usman, Neela Kaushik, Judy Hoffman, Dequan Wang, and Kate Saenko · 2017
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Identifying medical diagnoses and treatable diseases by image-based deep learning
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Abnormal colon polyp image synthesis using conditional adversarial networks for improved detection performance
Younghak Shin, Hemin Ali Qadir, and Ilangko Balasingham · 2018
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Unet++: A nested u-net architecture for medical image segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2018
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Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection
Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger · 2019
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The liver tumor segmentation benchmark (lits)
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, et al · 2019
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Synthesizing diverse lung nodules wherever massively: 3d multi-conditional gan-based ct image augmentation for object detection
Changhee Han, Yoshiro Kitamura, Akira Kudo, Akimichi Ichinose, Leonardo Rundo, Yujiro Furukawa, Kazuki Umemoto, Yuanzhong Li, and Hideki Nakayama · 2019
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Feature-critic networks for heterogeneous domain generalization
Yiying Li, Yongxin Yang, Wei Zhou, and Timothy Hospedales · 2019
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f-anogan: Fast unsupervised anomaly detection with generative adversarial networks
Thomas Schlegl, Philipp Seeböck, Sebastian M Waldstein, Georg Langs, and Ursula Schmidt-Erfurth · 2019
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Addressing model vulnerability to distributional shifts over image transformation sets
Riccardo Volpi and Vittorio Murino · 2019
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Domain randomization and pyramid consistency: Simulation-to-real generalization without accessing target domain data
Xiangyu Yue, Yang Zhang, Sicheng Zhao, Alberto Sangiovanni-Vincentelli, Kurt Keutzer, and Boqing Gong · 2019
Development of an ai system for accurately diagnose hepatocellular carcinoma from computed tomography imaging data
Meiyun Wang, Fangfang Fu, Bingjie Zheng, Yan Bai, Qingxia Wu, Jianqiang Wu, Lin Sun, Qiuyu Liu, Mingge Liu, Yichen Yang, et al · 2021
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Label-free segmentation of covid-19 lesions in lung ct
Qingsong Yao, Li Xiao, Peihang Liu, and S Kevin Zhou · 2021
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Deep nets: What have they ever done for vision?
Alan L Yuille and Chenxi Liu · 2021
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A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L Prince, Daniel Rueckert, and Ronald M Summers · 2021
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Towards Annotation-Efficient Deep Learning for Computer-Aided Diagnosis
Zongwei Zhou · 2021
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Unet++: Redesigning skip connections to exploit multiscale features in image segmentation
Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, and Jianming Liang · 2019
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Models genesis: Generic autodidactic models for 3d medical image analysis
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B Gotway, and Jianming Liang · 2019
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Automated synthetic-to-real generalization
Wuyang Chen, Zhiding Yu, Zhangyang Wang, and Animashree Anandkumar · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Shape-aware meta-learning for generalizing prostate mri segmentation to unseen domains
Quande Liu, Qi Dou, and Pheng-Ann Heng · 2020
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Models genesis
Zongwei Zhou, Vatsal Sodha, Jiaxuan Pang, Michael B Gotway, and Jianming Liang · 2021
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The medical segmentation decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, et al · 2022
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Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R Roth, and Daguang Xu · 2022
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Unetr: Transformers for 3d medical image segmentation
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger R Roth, and Daguang Xu · 2022
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Metgan: Generative tumour inpainting and modality synthesis in light sheet microscopy
Izabela Horvath, Johannes Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov, Suprosanna Shit, Hongwei Li, Ali Ertürk, and Bjoern Menze · 2022
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Synthetic tumors make ai segment tumors better
Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jie-Neng Chen, Alan Yuille, and Zongwei Zhou · 2022
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Self-supervised masking for unsupervised anomaly detection and localization
Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, and Ya Zhang · 2022
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Word: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from ct image
Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N Metaxas, Guotai Wang, and Shaoting Zhang · 2022
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Pseudo-label guided image synthesis for semi-supervised covid-19 pneumonia infection segmentation
Fei Lyu, Mang Ye, Jonathan Frederik Carlsen, Kenny Erleben, Sune Darkner, and Pong C Yuen · 2022
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Towards total recall in industrial anomaly detection
Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, and Peter Gehler · 2022
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Self-supervised pre-training of swin transformers for 3d medical image analysis
Yucheng Tang, Dong Yang, Wenqi Li, Holger R Roth, Bennett Landman, Daguang Xu, Vishwesh Nath, and Ali Hatamizadeh · 2022
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Anomaly segmentation in retinal images with poisson-blending data augmentation
Hualin Wang, Yuhong Zhou, Jiong Zhang, Jianqin Lei, Dongke Sun, Feng Xu, and Xiayu Xu · 2022
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Generalizing to unseen domains: A survey on domain generalization
Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, and Philip Yu · 2022
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Anoddpm: Anomaly detection with denoising diffusion probabilistic models using simplex noise
Julian Wyatt, Adam Leach, Sebastian M Schmon, and Chris G Willcocks · 2022
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The felix project: Deep networks to detect pancreatic neoplasms
Yingda Xia, Qihang Yu, Linda Chu, Satomi Kawamoto, Seyoun Park, Fengze Liu, Jieneng Chen, Zhuotun Zhu, Bowen Li, Zongwei Zhou, et al · 2022
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Domain generalization: A survey
Kaiyang Zhou, Ziwei Liu, Yu Qiao, Tao Xiang, and Chen Change Loy · 2022
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Interpreting medical images
Zongwei Zhou, Michael B Gotway, and Jianming Liang · 2022
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Clip-driven universal model for organ segmentation and tumor detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen, Junfei Xiao, Yongyi Lu, Bennett A Landman, Yixuan Yuan, Alan Yuille, Yucheng Tang, and Zongwei Zhou · 2023
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In-painting radiography images for unsupervised anomaly detection
Tiange Xiang, Yixiao Zhang, Yongyi Liu, Alan L Yuille, Chaoyi Zhang, Weidong Cai, and Zongwei Zhou · 2023
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Self-supervised tumor segmentation with sim2real adaptation
Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Xin Chen, Qi Tian, and Yanfeng Wang · 2023
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