Wenjia Bai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
59
Venues
7
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
59 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WACV | Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. | Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel |
| 2025 | EMNLP | Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. | Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci |
| 2025 | ICCV | T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency. | Che Liu, Cheng Ouyang, Yinda Chen, Csar Quilodrn Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2025 | MICCAI | CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching. | Qiang Ma, Qingjie Meng, Mengyun Qiao, Paul M. Matthews, Declan P. O'Regan, Wenjia Bai |
| 2025 | MICCAI | Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction. | Mengyun Qiao, Jin Zheng, Weitong Zhang, Qiang Ma, Liu Li, Bernhard Kainz, Declan P. O'Regan, Paul M. Matthews, Steven A. Niederer, Wenjia Bai |
| 2025 | MICCAI | Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis. | Weitong Zhang, Mengyun Qiao, Chengqi Zang, Steven A. Niederer, Paul M. Matthews, Wenjia Bai, Bernhard Kainz |
| 2024 | ECCV | TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data. | Siyi Du, Shaoming Zheng, Yinsong Wang, Wenjia Bai, Declan P. O'Regan, Chen Qin |
| 2024 | ICML | 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 |
| 2024 | MICCAI | SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints. | Berke Doga Basaran, Xinru Zhang, Paul M. Matthews, Wenjia Bai |
| 2024 | MICCAI | Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation. | Kate Cevora, Ben Glocker, Wenjia Bai |
| 2024 | MICCAI | 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 |
| 2023 | MICCAI | LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. | Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai |
| 2023 | MICCAI | M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. | Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2023 | MICCAI | MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. | Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz |
| 2022 | MICCAI | Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images. | Berke Doga Basaran, Mengyun Qiao, Paul M. Matthews, Wenjia Bai |
| 2022 | MICCAI | MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. | Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert |
| 2022 | MICCAI | Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning. | Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert |
| 2022 | MICCAI | 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 |
| 2021 | MICCAI | Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. | Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert |
| 2021 | MICCAI | DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. | Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert |
| 2021 | MICCAI | Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. | Shuo Wang, Chen Qin, Nicol Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. | Chengliang Dai, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini, Yike Guo, Wenjia Bai |
| 2020 | MICCAI | Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. | Ping Lu, Wenjia Bai, Daniel Rueckert, J. Alison Noble |
| 2020 | MICCAI | Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. | Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert |
| 2020 | MICCAI | Quality-Aware Semi-supervised Learning for CMR Segmentation. | Bram Ruijsink, Esther Puyol-Antn, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King |
| 2020 | MICCAI | Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. | Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. | Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert |
| 2019 | MICCAI | Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. | Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert |
| 2019 | MICCAI | Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. | Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert |
| 2019 | MICCAI | Transfer Learning from Partial Annotations for Whole Brain Segmentation. | Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai |
| 2018 | MICCAI | Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents. | Amir Alansary, Loc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert |
| 2018 | MICCAI | Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. | Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert |
| 2018 | MICCAI | Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling. | Carlo Biffi, Ozan Oktay, Giacomo Tarroni, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Georgia Doumou, Martin Rajchl, Reem Bedair, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert |
| 2018 | MICCAI | Multi-task Learning for Left Atrial Segmentation on GE-MRI. | Chen Chen, Wenjia Bai, Daniel Rueckert |
| 2018 | MICCAI | Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images. | Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Carlo Biffi, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert |
| 2018 | MICCAI | Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension. | Jinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert |
| 2018 | MICCAI | Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. | Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert |
| 2018 | MICCAI | Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. | Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert |
| 2018 | MICCAI | Real-Time Prediction of Segmentation Quality. | Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, Jos Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker |
| 2018 | MICCAI | Bayesian Deep Learning for Accelerated MR Image Reconstruction. | Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert |
| 2018 | MICCAI | Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. | Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert |
| 2018 | MICCAI | A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks. | Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert |
| 2017 | MICCAI | Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. | Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert |
| 2017 | MICCAI | Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. | Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker |
| 2017 | MICCAI | Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. | Robert Robinson, Vanya V. Valindria, Wenjia Bai, Hideaki Suzuki, Paul M. Matthews, Chris Page, Daniel Rueckert, Ben Glocker |
| 2017 | MICCAI | Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. | Matthew Sinclair, Wenjia Bai, Esther Puyol-Antn, Ozan Oktay, Daniel Rueckert, Andrew P. King |
| 2016 | MICCAI | Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks. | Ozan Oktay, Wenjia Bai, Matthew C. H. Lee, Ricardo Guerrero, Konstantinos Kamnitsas, Jose Caballero, Antonio de Marvao, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert |
| 2016 | MICCAI | Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. | Matthew Sinclair, Devis Peressutti, Esther Puyol-Antn, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2015 | MICCAI | Classification of Myocardial Infarcted Patients by Combining Shape and Motion Features. | Wenjia Bai, Ozan Oktay, Daniel Rueckert |
| 2015 | MICCAI | Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. | Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert |
| 2015 | MICCAI | Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. | Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2015 | MICCAI | Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. | Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2014 | CVPR | Patch-Based Evaluation of Image Segmentation. | Christian Ledig, Wenzhe Shi, Wenjia Bai, Daniel Rueckert |
| 2014 | MICCAI | Application-Driven MRI: Joint Reconstruction and Segmentation from Undersampled MRI Data. | Jose Caballero, Wenjia Bai, Anthony N. Price, Daniel Rueckert, Joseph V. Hajnal |
| 2014 | MICCAI | Multi-atlas Spectral PatchMatch: Application to Cardiac Image Segmentation. | Wenzhe Shi, Herve Lombaert, Wenjia Bai, Christian Ledig, Xiahai Zhuang, Antonio M. Simoes Monteiro de Marvao, Timothy Dawes, Declan P. O'Regan, Daniel Rueckert |
| 2013 | MICCAI | Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch. | Wenzhe Shi, Jose Caballero, Christian Ledig, Xiahai Zhuang, Wenjia Bai, Kanwal K. Bhatia, Antonio M. Simoes Monteiro de Marvao, Tim Dawes, Declan P. O'Regan, Daniel Rueckert |
| 2012 | MICCAI | Registration Using Sparse Free-Form Deformations. | Wenzhe Shi, Xiahai Zhuang, Luis Pizarro, Wenjia Bai, Haiyan Wang, Kai-Pin Tung, Philip J. Edwards, Daniel Rueckert |