Cheng Ouyang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 42

Top Topics

Image Segmentation

Medical Image Segmentation

Diffusion Models

Top Venues

IEEE Trans. Medical Imaging

Medical Image Anal.

Publications

Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. CoRR (2024)
Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR (2024)
Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts. CoRR (2024)
Yangjie Peng, Cheng Ouyang, Yijun Wu, Rui Ma, Hao Li, Yanke Li, Jingjing Jing, Liping Sun
A novel PCDscore based on programmed cell death-related genes can effectively predict prognosis and therapy responses of colon adenocarcinoma. Comput. Biol. Medicine 170 (2024)
Hongwei Bran Li, Cheng Ouyang, Tamaz Amiranashvili, Matthew S. Rosen, Bjoern H. Menze, Juan Eugenio Iglesias
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere. CoRR (2024)
Jialiang Peng, Cheng Ouyang, Hao Peng, Wenwu Hu, Yi Wang, Ping Jiang
MultiFuseYOLO: Redefining Wine Grape Variety Recognition through Multisource Information Fusion. Sensors 24 (9) (2024)
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (4) (2023)
Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR (2023)
Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) (2023)
Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR (2023)
Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Trans. Medical Imaging 42 (6) (2023)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81 (2022)
Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI (2022)
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
Self-Supervised Learning for Few-Shot Medical Image Segmentation. IEEE Trans. Medical Imaging 41 (7) (2022)
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. CoRR (2022)
Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. 82 (2022)
Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
Improved post-hoc probability calibration for out-of-domain MRI segmentation. CoRR (2022)
Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. MICCAI (5) (2022)
Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI (2022)
Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR (2022)
Shuo Wang, Chen Qin, Chengyan Wang, Kang Wang, Haoran Wang, Chen Chen, Cheng Ouyang, Xutong Kuang, Chengliang Dai, Yuanhan Mo, Zhang Shi, Chenchen Dai, Xinrong Chen, He Wang, Wenjia Bai
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR (2022)
Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. CoRR (2021)
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR (2021)
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. CoRR (2021)
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. MICCAI (3) (2021)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR (2020)
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Realistic Adversarial Data Augmentation for MR Image Segmentation. CoRR (2020)
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Realistic Adversarial Data Augmentation for MR Image Segmentation. MICCAI (1) (2020)
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation. CoRR (2020)
Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. ECCV (29) (2020)
Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. CoRR (2019)
Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. MICCAI (2) (2019)
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7 (2019)
Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction. CoRR (2019)
Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation. CoRR (2019)
Cheng Ouyang, Jo Schlemper, Carlo Biffi, Gavin Seegoolam, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Generalising Deep Learning MRI Reconstruction across Different Domains. CoRR (2019)
Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. MICCAI (4) (2019)
Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. CoRR (2019)
Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. STACOM@MICCAI (2019)
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR (2018)
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI (2018)
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR (2018)
Jun Tan, Cheng Ouyang, Jun Yu
Prediction of Single Nucleotide Mutation Patterns in Microsatellites. KSEM (2015)
Cheng Ouyang, Hongbing Ji, Ye Tian
Improved Gaussian Mixture CPHD Tracker for Multitarget Tracking. IEEE Trans. Aerosp. Electron. Syst. 49 (2) (2013)
Cheng Ouyang, Hongbing Ji, Zhi-qiang Guo
Extensions of the SMC-PHD filters for jump Markov systems. Signal Process. 92 (6) (2012)
Jungen Zhang, Hongbing Ji, Cheng Ouyang
Multitarget bearings-only tracking using fuzzy clustering technique and Gaussian particle filter. J. Supercomput. 58 (1) (2011)
Kwaku Akrofi, Bradley P. Sutton, Cheng Ouyang, Fatima T. Husain
Cluster sizes in interleaved silent steady state (ISSS) imaging. EMBC (2011)