Cheng Ouyang - RankMe

80 papers A* 4C 1Journal 53Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel Modular Cable-Driven Soft Robotic Arm with Multi-Segment Reconfigurability. CoRR Moeen Ul Islam, Cheng Ouyang, Xinda Qi, Azlan Zahid, Xiaobo Tan, Dong Chen
2026	J	`jnl`	Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge. Medical Image Anal. Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2026	—	`ed.`	Human-AI Collaboration - First International Workshop, HAIC 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings HAIC@MICCAI Xiaoqing Guo, Yueming Jin, Hala Lamdouar, Qianhui Men, Cheng Ouyang, Manish Sahu, S. Swaroop Vedula
2026	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings UNSURE@MICCAI Carole H. Sudre, Mobarak I. Hoque, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells
2025	J	`jnl`	Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. CoRR 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, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert
2025	J	`jnl`	Dataset Distillation with Probabilistic Latent Features. CoRR Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2025	J	`jnl`	Direct Data-Driven Predictive Control for a Three-dimensional Cable-Driven Soft Robotic Arm. CoRR Cheng Ouyang, Moeen Ul Islam, Dong Chen, Kaixiang Zhang, Zhaojian Li, Xiaobo Tan
2025	J	`jnl`	Does DINOv3 Set a New Medical Vision Standard? CoRR Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Expert-Agnostic Learning to Defer. CoRR Joshua Strong, Pramit Saha, Yasin Ibrahim, Cheng Ouyang, J. Alison Noble
2025	J	`jnl`	Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. CoRR Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025	J	`jnl`	FedAgentBench: Towards Automating Real-world Federated Medical Image Analysis with Server-Client LLM Agents. CoRR Pramit Saha, Joshua Strong, Divyanshu Mishra, Cheng Ouyang, J. Alison Noble
2025	J	`jnl`	Federated Continual 3D Segmentation With Single-round Communication. CoRR Can Peng, Qianhui Men, Pramit Saha, Qianye Yang, Cheng Ouyang, J. Alison Noble
2025	—	`conf`	Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. EMNLP (Findings) Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. CoRR Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci
2025	—	`conf`	MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. MICCAI (7) Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025	J	`jnl`	MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. CoRR Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert
2025	J	`jnl`	Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. IEEE Trans. Medical Imaging Kelly Payette, Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Bran Li, Matthew J. Barkovich, Liu Li, Maik Dannecker, Chen Chen, Cheng Ouyang, Niccolò McConnell, Alina Dana Miron, Yongmin Li, Alena Uus, Irina Grigorescu, Paula Ramirez Gilliland, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Haoyu Wang, Ziyan Huang, Jin Ye, Mireia Alenyà, Valentin Comte, Oscar Camara, Jean-Baptiste Masson, Astrid Nilsson, Charlotte Godard, Moona Mazher, Abdul Qayyum, Yibo Gao, Hangqi Zhou, Shangqi Gao, Jia Fu, Guiming Dong, Guotai Wang, ZunHyan Rieu, HyeonSik Yang, Minwoo Lee, Szymon Plotka, Michal K. Grzeszczyk, Arkadiusz Sitek, Luisa Vargas Daza, Santiago Usma, Pablo Arbeláez, Wenying Lu, Wenhao Zhang, Jing Liang, Romain Valabrègue, Anand A. Joshi, Krishna N. Nayak, Richard M. Leahy, Luca Wilhelmi, Aline Dändliker, Hui Ji, Antonio G. Gennari, Anton Jakovcic, Melita Klaic, Ana Adzic, Pavel Markovic, Gracia Grabaric, Gregor Kasprian, Gregor Dovjak, Milan Rados, Lana Vasung, Meritxell Bach Cuadra, András Jakab
2025	J	`jnl`	On the public dissemination and open sourcing of ultrasound resources, datasets and deep learning models. npj Digit. Medicine Mohammad Alsharid, Xiaoqing Guo, Qianhui Men, Pramit Saha, Divyanshu Mishra, Rahul Ahuja, Cheng Ouyang, J. Alison Noble
2025	J	`jnl`	Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling. J. Vis. Commun. Image Represent. Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter Schüffler, Bernhard Kainz
2025	—	`conf`	T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency. ICCVW Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
2025	J	`jnl`	Topology Optimization in Medical Image Segmentation With Fast χ Euler Characteristic. IEEE Trans. Medical Imaging Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2025	J	`jnl`	Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. CoRR Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2025	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings UNSURE@MICCAI Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells III
2025	—	`conf`	Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. Bildverarbeitung für die Medizin 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
2024	—	`conf`	A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts. MICCAI (12) Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai
2024	J	`jnl`	A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts. CoRR Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai
2024	J	`jnl`	A novel PCDscore based on programmed cell death-related genes can effectively predict prognosis and therapy responses of colon adenocarcinoma. Comput. Biol. Medicine Yangjie Peng, Cheng Ouyang, Yijun Wu, Rui Ma, Hao Li, Yanke Li, Jingjing Jing, Liping Sun
2024	—	`conf`	FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising. MIDL Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin
2024	A*	`conf`	G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. NeurIPS Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
2024	J	`jnl`	MultiFuseYOLO: Redefining Wine Grape Variety Recognition through Multisource Information Fusion. Sensors Jialiang Peng, Cheng Ouyang, Hao Peng, Wenwu Hu, Yi Wang, Ping Jiang
2024	J	`jnl`	Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere. CoRR Hongwei Bran Li, Cheng Ouyang, Tamaz Amiranashvili, Matthew S. Rosen, Bjoern H. Menze, Juan Eugenio Iglesias
2024	J	`jnl`	SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation. CoRR Jiayuan Zhu, Junde Wu, Cheng Ouyang, Konstantinos Kamnitsas, Julia Alison Noble
2024	A*	`conf`	Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. NeurIPS Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024	J	`jnl`	Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics. CoRR Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
2024	—	`conf`	Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. MICCAI (9) Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024	J	`jnl`	Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. CoRR Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024	A*	`conf`	Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci
2024	J	`jnl`	Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	J	`jnl`	Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2023	J	`jnl`	Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
2023	J	`jnl`	G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
2023	—	`conf`	Robust Segmentation via Topology Violation Detection and Feature Synthesis. MICCAI (4) Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
2023	J	`jnl`	T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci
2022	J	`jnl`	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 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
2022	J	`jnl`	Context Label Learning: Improving Background Class Representations in Semantic Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker
2022	J	`jnl`	Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2022	—	`conf`	Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 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
2022	—	`conf`	Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2022	J	`jnl`	Improved post-hoc probability calibration for out-of-domain MRI segmentation. CoRR Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert
2022	—	`conf`	MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. MICCAI (5) Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
2022	J	`jnl`	MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. CoRR Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert
2022	J	`jnl`	Self-Supervised Learning for Few-Shot Medical Image Segmentation. IEEE Trans. Medical Imaging Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
2022	J	`jnl`	The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR 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
2021	J	`jnl`	Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	—	`conf`	Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. MICCAI (3) Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	J	`jnl`	Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. CoRR Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	J	`jnl`	Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. CoRR Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2020	J	`jnl`	Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR 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
2020	—	`conf`	Realistic Adversarial Data Augmentation for MR Image Segmentation. MICCAI (1) Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2020	J	`jnl`	Realistic Adversarial Data Augmentation for MR Image Segmentation. CoRR Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2020	J	`jnl`	Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation. CoRR Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
2020	—	`conf`	Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation. ECCV (29) Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
2019	—	`conf`	Data Efficient Unsupervised Domain Adaptation For Cross-modality Image Segmentation. MICCAI (2) Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
2019	J	`jnl`	Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation. CoRR Cheng Ouyang, Konstantinos Kamnitsas, Carlo Biffi, Jinming Duan, Daniel Rueckert
2019	J	`jnl`	Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. CoRR Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert
2019	J	`jnl`	Generalising Deep Learning MRI Reconstruction across Different Domains. CoRR Cheng Ouyang, Jo Schlemper, Carlo Biffi, Gavin Seegoolam, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2019	J	`jnl`	PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
2019	—	`ch.`	Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng
2019	—	`conf`	Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. STACOM@MICCAI Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2019	J	`jnl`	Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. CoRR Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2019	—	`conf`	VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. MICCAI (4) Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
2019	J	`jnl`	VS-Net: Variable splitting network for accelerated parallel MRI reconstruction. CoRR Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
2018	J	`jnl`	PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
2018	A*	`conf`	Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
2018	J	`jnl`	Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
2015	C	`conf`	Prediction of Single Nucleotide Mutation Patterns in Microsatellites. KSEM Jun Tan, Cheng Ouyang, Jun Yu
2013	J	`jnl`	Improved Gaussian Mixture CPHD Tracker for Multitarget Tracking. IEEE Trans. Aerosp. Electron. Syst. Cheng Ouyang, Hongbing Ji, Ye Tian
2012	J	`jnl`	Extensions of the SMC-PHD filters for jump Markov systems. Signal Process. Cheng Ouyang, Hongbing Ji, Zhi-qiang Guo
2011	—	`conf`	Cluster sizes in interleaved silent steady state (ISSS) imaging. EMBC Kwaku Akrofi, Bradley P. Sutton, Cheng Ouyang, Fatima T. Husain
2011	J	`jnl`	Multitarget bearings-only tracking using fuzzy clustering technique and Gaussian particle filter. J. Supercomput. Jungen Zhang, Hongbing Ji, Cheng Ouyang