Cluster sizes in interleaved silent steady state (ISSS) imaging. - Kwaku Akrofi; Bradley P. Sutton; Cheng Ouyang; Fatima T. Husain (EMBC, 2011)

Multitarget bearings-only tracking using fuzzy clustering technique and Gaussian particle filter. - Jungen Zhang; Hongbing Ji; Cheng Ouyang (J. Supercomput., 2011)

Extensions of the SMC-PHD filters for jump Markov systems. - Cheng Ouyang; Hongbing Ji; Zhi-qiang Guo (Signal Process., 2012)

Improved Gaussian Mixture CPHD Tracker for Multitarget Tracking. - Cheng Ouyang; Hongbing Ji; Ye Tian (IEEE Trans. Aerosp. Electron. Syst., 2013)

Prediction of Single Nucleotide Mutation Patterns in Microsatellites. - Jun Tan; Cheng Ouyang; Jun Yu (KSEM, 2015)

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Pheng-Ann Heng (IJCAI, 2018)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (CoRR, 2018)

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. - Qi Dou 001; Cheng Chen 013; Cheng Ouyang; Hao Chen 011; Pheng-Ann Heng (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. - Jinming Duan 001; Jo Schlemper; Chen Qin; Cheng Ouyang; Wenjia Bai; Carlo Biffi; Ghalib Bello; Ben Statton; Declan P. O'Regan; Daniel Rueckert (MICCAI (4), 2019)

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. - Chen Chen 042; Cheng Ouyang; Giacomo Tarroni; Jo Schlemper; Huaqi Qiu; Wenjia Bai; Daniel Rueckert (STACOM@MICCAI, 2019)

Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. - Cheng Ouyang; Konstantinos Kamnitsas; Carlo Biffi; Jinming Duan 001; Daniel Rueckert (MICCAI (2), 2019)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (IEEE Access, 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)

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. - Jo Schlemper; Jinming Duan 001; Cheng Ouyang; Chen Qin; Jose Caballero; Joseph V. Hajnal; Daniel Rueckert (CoRR, 2019)

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (ECCV (29), 2020)

Realistic Adversarial Data Augmentation for MR Image Segmentation. - Chen Chen 042; Chen Qin; Huaqi Qiu; Cheng Ouyang; Shuo Wang 011; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (MICCAI (1), 2020)

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. - Chen Chen 042; Kerstin Hammernik; Cheng Ouyang; Chen Qin; Wenjia Bai; Daniel Rueckert (MICCAI (3), 2021)

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (CoRR, 2021)

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. - Chen Chen 042; Zeju Li; Cheng Ouyang; Matthew Sinclair; Wenjia Bai; Daniel Rueckert (MICCAI (5), 2022)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. - Cheng Ouyang; Shuo Wang 011; Chen Chen 042; Zeju Li; Wenjia Bai; Bernhard Kainz; Daniel Rueckert (UNSURE@MICCAI, 2022)

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). - Shuo Wang 011; Chen Qin; Chengyan Wang; Kang Wang 004; Haoran Wang 009; Chen Chen 042; Cheng Ouyang; Xutong Kuang; Chengliang Dai; Yuanhan Mo; Zhang Shi; Chenchen Dai; et al. (CoRR, 2022)

Enhancing MR image segmentation with realistic adversarial data augmentation. - Chen Chen 042; Chen Qin; Cheng Ouyang; Zeju Li; Shuo Wang 011; Huaqi Qiu; Liang Chen 018; Giacomo Tarroni; Wenjia Bai; Daniel Rueckert (Medical Image Anal., 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 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Self-Supervised Learning for Few-Shot Medical Image Segmentation. - Cheng Ouyang; Carlo Biffi; Chen Chen 042; Turkay Kart; Huaqi Qiu; Daniel Rueckert (IEEE Trans. Medical Imaging, 2022)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2023)

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. - Che Liu; Cheng Ouyang; Yinda Chen; César Quilodrán Casas; Lei Ma 008; Jie Fu 001; Yike Guo; Anand Shah; Wenjia Bai; Rossella Arcucci (CoRR, 2023)

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. - Cheng Ouyang; Chen Chen 042; Surui Li; Zeju Li; Chen Qin; Wenjia Bai; Daniel Rueckert (IEEE Trans. Medical Imaging, 2023)

Context Label Learning: Improving Background Class Representations in Semantic Segmentation. - Zeju Li; Konstantinos Kamnitsas; Cheng Ouyang; Chen Chen 042; Ben Glocker (IEEE Trans. Medical Imaging, 2023)

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 (ICML, 2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma 004; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (MICCAI (9), 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 (MICCAI (12), 2024)

FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising. - Xuhang Chen 003; Zeju Li; Zikun Xu; Kaijie Xu 002; Cheng Ouyang; Chen Qin (MIDL, 2024)

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 (NeurIPS, 2024)

Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. - Weitong Zhang; Chengqi Zang; Liu Li; Sarah Cechnicka; Cheng Ouyang; Bernhard Kainz (NeurIPS, 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)

SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation. - Jiayuan Zhu; Junde Wu; Cheng Ouyang; Konstantinos Kamnitsas; Julia Alison Noble (CoRR, 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, 2024)

MultiFuseYOLO: Redefining Wine Grape Variety Recognition through Multisource Information Fusion. - Jialiang Peng; Cheng Ouyang; Hao Peng; Wenwu Hu; Yi Wang; Ping Jiang (Sensors, 2024)

Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. - Lisa K. Fischer; Johanna P. Müller; Christian Schröder; Anja Hanser; Michela Cuomo; Thomas G. Day; Cheng Ouyang; Oliver Dewald; Oliver Rompel; Sven Dittrich; Thomas Küstner; Bernhard Kainz (Bildverarbeitung für die Medizin, 2025)

Expert-Agnostic Learning to Defer. - Joshua Strong; Pramit Saha; Yasin Ibrahim; Cheng Ouyang; J. Alison Noble (CoRR, 2025)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. - Che Liu; Cheng Ouyang; Zhongwei Wan; Haozhe Wang 002; Wenjia Bai; Rossella Arcucci (CoRR, 2025)

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. - Jiazhen Pan; Che Liu; Junde Wu; Fenglin Liu; Jiayuan Zhu; Hongwei Bran Li; Chen Chen 042; Cheng Ouyang; Daniel Rueckert (CoRR, 2025)

Federated Continual 3D Segmentation With Single-round Communication. - Can Peng; Qianhui Men; Pramit Saha; Qianye Yang; Cheng Ouyang; J. Alison Noble (CoRR, 2025)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)

Dataset Distillation with Probabilistic Latent Features. - Zhe Li 025; Sarah Cechnicka; Cheng Ouyang; Katharina Breininger; Peter J. Schüffler; Bernhard Kainz (CoRR, 2025)

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. - Kang Wang 004; Chen Qin; Zhang Shi; Haoran Wang 009; Xiwen Zhang; Chen Chen 042; Cheng Ouyang; Chengliang Dai; Yuanhan Mo; Chenchen Dai; Xutong Kuang; Ruizhe Li; et al. (CoRR, 2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. - Liu Li; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (CoRR, 2025)

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Jiazhen Pan; Bailiang Jian; Paul Hager; Yundi Zhang; Che Liu; Friederike Jungmann; Hongwei Bran Li; Chenyu You; Junde Wu; Jiayuan Zhu; Fenglin Liu; Yuyuan Liu; et al. (CoRR, 2025)