Dr Chen Chen

All publications

Books

• (2024) Data Augmentation, Labelling, and Imperfections. Springer Nature Switzerland.

Journal articles

• Payette K, Steger C, Licandro R, De Dumast P, Li HB, Barkovich M, Li L, Dannecker M, Chen C, Ouyang C , McConnell N et al (2024) Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. IEEE Transactions on Medical Imaging, 1-1.
• Kreitner L, Paetzold JC, Rauch N, Chen C, Hagag AM, Fayed AE, Sivaprasad S, Rausch S, Weichsel J, Menze BH , Harders M et al (2024) Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotations. IEEE Transactions on Medical Imaging, 1-1.
• Li Z, Kamnitsas K, Ouyang C, Chen C & Glocker B (2023) Context Label Learning: Improving Background Class Representations in Semantic Segmentation. IEEE Transactions on Medical Imaging, 42(6), 1885-1896.
• Dawood T, Chen C, Sidhu BS, Ruijsink B, Gould J, Porter B, Elliott MK, Mehta V, Rinaldi CA, Puyol-Antón E , Razavi R et al (2023) Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Analysis, 88, 102861-102861.
• Ouyang C, Chen C, Li S, Li Z, Qin C, Bai W & Rueckert D (2023) Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Transactions on Medical Imaging, 42(4), 1095-1106.
• Qin C, Wang S, Chen C, Bai W & Rueckert D (2023) Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. Medical Image Analysis, 83, 102682-102682.
• Chen C, Qin C, Ouyang C, Li Z, Wang S, Qiu H, Chen L, Tarroni G, Bai W & Rueckert D (2022) Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Analysis, 82, 102597-102597.
• Zhuang X, Xu J, Luo X, Chen C, Ouyang C, Rueckert D, Campello VM, Lekadir K, Vesal S, RaviKumar N , Liu Y et al (2022) Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Analysis, 81, 102528-102528.
• Ouyang C, Biffi C, Chen C, Kart T, Qiu H & Rueckert D (2022) Self-Supervised Learning for Few-Shot Medical Image Segmentation. IEEE Transactions on Medical Imaging, 41(7), 1837-1848.
• Xiong Z, Xia Q, Hu Z, Huang N, Bian C, Zheng Y, Vesal S, Ravikumar N, Maier A, Yang X , Heng P-A et al (2021) A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Analysis, 67, 101832-101832.
• Le EPV, Evans NR, Tarkin JM, Chowdhury MM, Zaccagna F, Wall C, Huang Y, Weir-Mccall JR, Chen C, Warburton EA , Schonlieb CB et al (2020) Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability. European Heart Journal, 41(Supplement_2).
• Li Z, Hou Z, Chen C, Hao Z, An Y, Liang S & Lu B (2019) Automatic Cardiothoracic Ratio Calculation With Deep Learning. IEEE Access, 7, 37749-37756.
• Chen C, Bai W, Davies RH, Bhuva AN, Manisty CH, Augusto JB, Moon JC, Aung N, Lee AM, Sanghvi MM , Fung K et al () Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images. Frontiers in Cardiovascular Medicine, 7.
• Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W & Rueckert D () Deep Learning for Cardiac Image Segmentation: A Review. Frontiers in Cardiovascular Medicine, 7.

Chapters

• Zhang Y, Chen C, Shit S, Starck S, Rueckert D & Pan J (2024) Whole Heart 3D+T Representation Learning Through Sparse 2D Cardiac MR Images, Lecture Notes in Computer Science (pp. 359-369). Springer Nature Switzerland

Conference proceedings papers

• Qiu H, Hammernik K, Qin C, Chen C & Rueckert D (2022) Embedding Gradient-Based Optimization in Image Registration Networks (pp 56-65)
• Li Z, Kamnitsas K, Islam M, Chen C & Glocker B (2022) Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores (pp 693-703)
• Chen C, Li Z, Ouyang C, Sinclair M, Bai W & Rueckert D (2022) MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation (pp 151-161)
• Ouyang C, Wang S, Chen C, Li Z, Bai W, Kainz B & Rueckert D (2022) Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation (pp 59-69)
• Dawood T, Chen C, Andlauer R, Sidhu BS, Ruijsink B, Gould J, Porter B, Elliott M, Mehta V, Rinaldi CA , Puyol-Antón E et al (2022) Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction (pp 189-198)
• Wang S, Qin C, Savioli N, Chen C, O’Regan DP, Cook S, Guo Y, Rueckert D & Bai W (2021) Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation (pp 14-24)
• Chen C, Hammernik K, Ouyang C, Qin C, Bai W & Rueckert D (2021) Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation (pp 149-159)
• Ouyang C, Biffi C, Chen C, Kart T, Qiu H & Rueckert D (2020) Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation (pp 762-780)
• Qin C, Wang S, Chen C, Qiu H, Bai W & Rueckert D (2020) Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI (pp 296-306)
• Chen C, Qin C, Qiu H, Ouyang C, Wang S, Chen L, Tarroni G, Bai W & Rueckert D (2020) Realistic Adversarial Data Augmentation for MR Image Segmentation (pp 667-677)
• Puyol-Antón E, Chen C, Clough JR, Ruijsink B, Sidhu BS, Gould J, Porter B, Elliott M, Mehta V, Rueckert D , Rinaldi CA et al (2020) Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction (pp 284-293)
• Wang S, Tarroni G, Qin C, Mo Y, Dai C, Chen C, Glocker B, Guo Y, Rueckert D & Bai W (2020) Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation (pp 88-97)
• Chen C, Ouyang C, Tarroni G, Schlemper J, Qiu H, Bai W & Rueckert D (2020) Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation (pp 209-219)
• Bai W, Chen C, Tarroni G, Duan J, Guitton F, Petersen SE, Guo Y, Matthews PM & Rueckert D (2019) Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction (pp 541-549)
• Chen C, Biffi C, Tarroni G, Petersen S, Bai W & Rueckert D (2019) Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images (pp 523-531)
• Chen C, Bai W & Rueckert D (2019) Multi-task Learning for Left Atrial Segmentation on GE-MRI (pp 292-301)

Preprints

• Chen C, Li L, Beetz M, Banerjee A, Gupta R & Grau V (2024) Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction.
• Payette K, Steger C, Licandro R, Dumast PD, Li HB, Barkovich M, Li L, Dannecker M, Chen C, Ouyang C , McConnell N et al (2024) Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.
• Liu C, Cheng S, Chen C, Qiao M, Zhang W, Shah A, Bai W & Arcucci R (2023) M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.
• Guo J, Zhang W, Sinclair M, Rueckert D & Chen C (2023) Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.
• Chen C, Li Z, Ouyang C, Sinclair M, Bai W & Rueckert D (2022) MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.
• Chen C, Qin C, Ouyang C, Li Z, Wang S, Qiu H, Chen L, Tarroni G, Bai W & Rueckert D (2021) Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
• Chen C, Hammernik K, Ouyang C, Qin C, Bai W & Rueckert D (2021) Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
• Chen C, Qin C, Qiu H, Ouyang C, Wang S, Chen L, Tarroni G, Bai W & Rueckert D (2020) Realistic Adversarial Data Augmentation for MR Image Segmentation.
• Zhuang X, Xu J, Luo X, Chen C, Ouyang C, Rueckert D, Campello VM, Lekadir K, Vesal S, RaviKumar N , Liu Y et al (2020) Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.
• Chen C, Qin C, Qiu H, Tarroni G, Duan J, Bai W & Rueckert D (2019) Deep learning for cardiac image segmentation: A review.
• Chen C, Ouyang C, Tarroni G, Schlemper J, Qiu H, Bai W & Rueckert D (2019) Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.
• Chen C, Biffi C, Tarroni G, Petersen S, Bai W & Rueckert D (2019) Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.
• Bai W, Chen C, Tarroni G, Duan J, Guitton F, Petersen SE, Guo Y, Matthews PM & Rueckert D (2019) Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
• Chen C, Bai W, Davies RH, Bhuva AN, Manisty C, Moon JC, Aung N, Lee AM, Sanghvi MM, Fung K , Paiva JM et al (2019) Improving the generalizability of convolutional neural network-based segmentation on CMR images.
• Chen C, Bai W & Rueckert D (2018) Multi-Task Learning for Left Atrial Segmentation on GE-MRI.