Cheng Ouyang

According to our database, Cheng Ouyang authored at least 37 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MultiFuseYOLO: Redefining Wine Grape Variety Recognition through Multisource Information Fusion.

Jialiang Peng, Cheng Ouyang, Hao Peng, Wenwu Hu, Yi Wang, Ping Jiang

Sensors, May, 2024

A novel PCDscore based on programmed cell death-related genes can effectively predict prognosis and therapy responses of colon adenocarcinoma.

Yangjie Peng, Cheng Ouyang, Yijun Wu, Rui Ma, Hao Li, Yanke Li, Jingjing Jing, Liping Sun

Comput. Biol. Medicine, March, 2024

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics.

Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz

CoRR, 2024

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere.

Hongwei Bran Li, Cheng Ouyang, Tamaz Amiranashvili, Matthew S. Rosen, Bjoern H. Menze, Juan Eugenio Iglesias

CoRR, 2024

A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts.

Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis.

Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement.

Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker

IEEE Trans. Medical Imaging, June, 2023

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.

Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert

IEEE Trans. Medical Imaging, April, 2023

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.

Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Self-Supervised Learning for Few-Shot Medical Image Segmentation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

IEEE Trans. Medical Imaging, 2022

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.

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

Medical Image Anal., 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2022

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion).

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

CoRR, 2022

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.

Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.

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

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.

Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

CoRR, 2021

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.

Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.

Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.

Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert

CoRR, 2019

Generalising Deep Learning MRI Reconstruction across Different Domains.

Cheng Ouyang, Jo Schlemper, Carlo Biffi, Gavin Seegoolam, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert

CoRR, 2019

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation.

Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng

IEEE Access, 2019

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation.

Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.

Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.

Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning.

Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.

Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng

CoRR, 2018

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.

Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2015

Prediction of Single Nucleotide Mutation Patterns in Microsatellites.

Jun Tan, Cheng Ouyang, Jun Yu

Proceedings of the Knowledge Science, Engineering and Management, 2015

2013

Improved Gaussian Mixture CPHD Tracker for Multitarget Tracking.

Cheng Ouyang, Hongbing Ji, Ye Tian

IEEE Trans. Aerosp. Electron. Syst., 2013

2012

Extensions of the SMC-PHD filters for jump Markov systems.

Cheng Ouyang, Hongbing Ji, Zhi-qiang Guo

Signal Process., 2012

2011

Multitarget bearings-only tracking using fuzzy clustering technique and Gaussian particle filter.

Jungen Zhang, Hongbing Ji, Cheng Ouyang

J. Supercomput., 2011

Cluster sizes in interleaved silent steady state (ISSS) imaging.

Kwaku Akrofi, Bradley P. Sutton, Cheng Ouyang, Fatima T. Husain

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011