


default search action
Wenjia Bai
Person information
Refine list

refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
- [j27]Che Liu
, Sibo Cheng
, Miaojing Shi
, Anand Shah
, Wenjia Bai
, Rossella Arcucci
:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training. IEEE Trans. Medical Imaging 44(1): 519-529 (2025) - 2024
- [j26]Mengyun Qiao
, Shuo Wang
, Huaqi Qiu
, Antonio de Marvao
, Declan P. O'Regan
, Daniel Rueckert
, Wenjia Bai
:
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. IEEE Trans. Medical Imaging 43(3): 1259-1269 (2024) - [j25]Qingjie Meng
, Wenjia Bai
, Declan P. O'Regan
, Daniel Rueckert
:
DeepMesh: Mesh-Based Cardiac Motion Tracking Using Deep Learning. IEEE Trans. Medical Imaging 43(4): 1489-1500 (2024) - [c74]Tianyi Wu, Jingqing Zhang, Wenjia Bai, Kai Sun:
BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation. BioNLP@ACL 2024: 328-341 - [c73]Siyi Du
, Shaoming Zheng
, Yinsong Wang
, Wenjia Bai
, Declan P. O'Regan
, Chen Qin
:
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data. ECCV (15) 2024: 478-496 - [c72]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML 2024 - [c71]Kate Cevora, Ben Glocker, Wenjia Bai:
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation. FAIMI/EPIMI@MICCAI 2024: 88-97 - [c70]Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai:
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts. MICCAI (12) 2024: 379-389 - [c69]Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci:
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. NeurIPS 2024 - [i71]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR abs/2403.06659 (2024) - [i70]Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai:
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts. CoRR abs/2405.10246 (2024) - [i69]Zi Wang, Fanwen Wang, Chen Qin
, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang:
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR abs/2406.19043 (2024) - [i68]Siyi Du, Shaoming Zheng, Yinsong Wang, Wenjia Bai, Declan P. O'Regan, Chen Qin
:
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data. CoRR abs/2407.07582 (2024) - [i67]Kate Cevora, Ben Glocker, Wenjia Bai:
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation. CoRR abs/2408.04610 (2024) - [i66]Mengyun Qiao, Kathryn A. McGurk, Shuo Wang, Paul M. Matthews, Declan P. O'Regan, Wenjia Bai:
A Personalised 3D+t Mesh Generative Model for Unveiling Normal Heart Dynamics. CoRR abs/2409.13825 (2024) - [i65]Berke Doga Basaran, Xinru Zhang, Paul M. Matthews, Wenjia Bai:
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints. CoRR abs/2410.01766 (2024) - [i64]Berke Doga Basaran, Paul M. Matthews, Wenjia Bai:
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation. CoRR abs/2412.10946 (2024) - 2023
- [j24]Chen Qin
, Shuo Wang
, Chen Chen
, Wenjia Bai
, Daniel Rueckert
:
Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. Medical Image Anal. 83: 102682 (2023) - [j23]Cheng Ouyang
, Chen Chen
, Surui Li, Zeju Li
, Chen Qin
, Wenjia Bai
, Daniel Rueckert
:
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42(4): 1095-1106 (2023) - [c68]Berke Doga Basaran
, Weitong Zhang, Mengyun Qiao, Bernhard Kainz
, Paul M. Matthews, Wenjia Bai:
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. DALI@MICCAI 2023: 73-83 - [c67]Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz
:
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. MICCAI (10) 2023: 121-131 - [c66]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah
, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. MICCAI (1) 2023: 637-647 - [c65]Michael Tänzer
, Fanwen Wang
, Mengyun Qiao
, Wenjia Bai
, Daniel Rueckert
, Guang Yang
, Sonia Nielles-Vallespin
:
T1/T2 Relaxation Temporal Modelling from Accelerated Acquisitions Using a Latent Transformer. STACOM@MICCAI 2023: 293-302 - [i63]Mengyun Qiao, Shuo Wang, Huaqi Qiu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert, Wenjia Bai:
CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy. CoRR abs/2301.13098 (2023) - [i62]Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci:
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. CoRR abs/2307.08347 (2023) - [i61]Xinyu Bai, Wenjia Bai:
Hierarchical Uncertainty Estimation for Medical Image Segmentation Networks. CoRR abs/2308.08465 (2023) - [i60]Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai:
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. CoRR abs/2308.09026 (2023) - [i59]Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin
, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Ying-Hua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu:
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. CoRR abs/2309.10836 (2023) - [i58]Qingjie Meng, Wenjia Bai, Declan P. O'Regan, Daniel Rueckert:
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning. CoRR abs/2309.14306 (2023) - [i57]Che Liu, Anand Shah, Wenjia Bai, Rossella Arcucci:
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images. CoRR abs/2310.07027 (2023) - [i56]Che Liu, Sibo Cheng, Miaojing Shi, Anand Shah, Wenjia Bai, Rossella Arcucci:
IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-training. CoRR abs/2310.07355 (2023) - [i55]Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci:
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training. CoRR abs/2312.01522 (2023) - [i54]Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci:
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR abs/2312.01529 (2023) - 2022
- [j22]Chengliang Dai
, Shuo Wang, Yuanhan Mo, Elsa D. Angelini
, Yike Guo, Wenjia Bai:
Suggestive annotation of brain MR images with gradient-guided sampling. Medical Image Anal. 77: 102373 (2022) - [j21]Chen Chen
, Chen Qin
, Cheng Ouyang, Zeju Li
, Shuo Wang
, Huaqi Qiu
, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
:
Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. 82: 102597 (2022) - [j20]Qingjie Meng
, Chen Qin
, Wenjia Bai
, Tianrui Liu
, Antonio de Marvao
, Declan P. O'Regan
, Daniel Rueckert
:
MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI. IEEE Trans. Medical Imaging 41(8): 1961-1974 (2022) - [c64]Berke Doga Basaran
, Mengyun Qiao
, Paul M. Matthews
, Wenjia Bai
:
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images. SASHIMI@MICCAI 2022: 1-11 - [c63]Cheng Ouyang
, Shuo Wang
, Chen Chen
, Zeju Li
, Wenjia Bai
, Bernhard Kainz
, Daniel Rueckert
:
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI 2022: 59-69 - [c62]Chen Chen
, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert:
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. MICCAI (5) 2022: 151-161 - [c61]Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert:
Mesh-Based 3D Motion Tracking in Cardiac MRI Using Deep Learning. MICCAI (6) 2022: 248-258 - [c60]Yuan Wang, Laura Blackie, Irene Miguel-Aliaga, Wenjia Bai:
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images. MIDL 2022: 1322-1335 - [c59]Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai:
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data. STACOM@MICCAI 2022: 3-12 - [i53]Yuan Wang, Laura Blackie, Irene Miguel-Aliaga, Wenjia Bai:
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images. CoRR abs/2205.15941 (2022) - [i52]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini
, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling. CoRR abs/2206.01014 (2022) - [i51]Chen Chen
, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert:
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation. CoRR abs/2206.01737 (2022) - [i50]Chen Qin
, Shuo Wang, Chen Chen
, Wenjia Bai, Daniel Rueckert:
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior. CoRR abs/2206.03830 (2022) - [i49]Qingjie Meng, Chen Qin
, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert:
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI. CoRR abs/2208.00034 (2022) - [i48]Berke Doga Basaran, Mengyun Qiao, Paul M. Matthews, Wenjia Bai:
Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Images. CoRR abs/2208.02135 (2022) - [i47]Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert:
Improved post-hoc probability calibration for out-of-domain MRI segmentation. CoRR abs/2208.02870 (2022) - [i46]Mengyun Qiao, Berke Doga Basaran, Huaqi Qiu, Shuo Wang, Yi Guo, Yuanyuan Wang, Paul M. Matthews, Daniel Rueckert, Wenjia Bai:
Generative Modelling of the Ageing Heart with Cross-Sectional Imaging and Clinical Data. CoRR abs/2208.13146 (2022) - [i45]Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P. O'Regan, Daniel Rueckert:
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning. CoRR abs/2209.02004 (2022) - [i44]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:
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR abs/2210.06385 (2022) - 2021
- [c58]Ping Lu
, Wenjia Bai
, Daniel Rueckert
, J. Alison Noble
:
Multiscale Graph Convolutional Networks for Cardiac Motion Analysis. FIMH 2021: 264-272 - [c57]Ping Lu
, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Dynamic Spatio-Temporal Graph Convolutional Networks For Cardiac Motion Analysis. ISBI 2021: 122-125 - [c56]Shuo Wang, Chen Qin
, Nicoló Savioli, Chen Chen
, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai:
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. MICCAI (3) 2021: 14-24 - [c55]Chen Chen
, Kerstin Hammernik, Cheng Ouyang, Chen Qin
, Wenjia Bai, Daniel Rueckert:
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. MICCAI (3) 2021: 149-159 - [c54]Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert:
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. DGM4MICCAI/DALI@MICCAI 2021: 259-267 - [i43]Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert:
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. CoRR abs/2107.01079 (2021) - [i42]Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai:
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. CoRR abs/2107.03887 (2021) - [i41]Nicoló Savioli, Antonio de Marvao, Wenjia Bai, Shuo Wang, Stuart A. Cook, Calvin W. L. Chin, Daniel Rueckert, Declan P. O'Regan:
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation. CoRR abs/2107.07975 (2021) - [i40]Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. CoRR abs/2108.03429 (2021) - [i39]Turkay Kart, Wenjia Bai, Ben Glocker, Daniel Rueckert:
DeepMCAT: Large-Scale Deep Clustering for Medical Image Categorization. CoRR abs/2110.00109 (2021) - [i38]Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert:
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR abs/2111.12525 (2021) - [i37]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j19]Carlo Biffi
, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai
, Antonio de Marvao
, Ozan Oktay
, Christian Ledig, Loïc Le Folgoc
, Konstantinos Kamnitsas
, Georgia Doumou, Jinming Duan
, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan
, Daniel Rueckert
:
Explainable Anatomical Shape Analysis Through Deep Hierarchical Generative Models. IEEE Trans. Medical Imaging 39(6): 2088-2099 (2020) - [c53]Chengliang Dai
, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini
, Yike Guo, Wenjia Bai:
Self-training for Brain Tumour Segmentation with Uncertainty Estimation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (1) 2020: 514-523 - [c52]Ping Lu
, Wenjia Bai, Daniel Rueckert, J. Alison Noble:
Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions. M&Ms and EMIDEC/STACOM@MICCAI 2020: 56-65 - [c51]Shuo Wang, Giacomo Tarroni, Chen Qin
, Yuanhan Mo, Chengliang Dai, Chen Chen
, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) 2020: 88-97 - [c50]Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King:
Quality-Aware Semi-supervised Learning for CMR Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 97-107 - [c49]Chengliang Dai
, Shuo Wang, Yuanhan Mo, Kaichen Zhou, Elsa D. Angelini
, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain Tumour Images with Gradient-Guided Sampling. MICCAI (4) 2020: 156-165 - [c48]Chen Qin
, Shuo Wang, Chen Chen
, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. MICCAI (3) 2020: 296-306 - [c47]Chen Chen
, Chen Qin
, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Realistic Adversarial Data Augmentation for MR Image Segmentation. MICCAI (1) 2020: 667-677 - [c46]Ping Lu
, Huaqi Qiu, Chen Qin
, Wenjia Bai, Daniel Rueckert, J. Alison Noble
:
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. MIUA 2020: 294-306 - [i36]Yuanhan Mo, Shuo Wang, Chengliang Dai, Rui Zhou, Zhongzhao Teng, Wenjia Bai, Yike Guo:
Efficient Deep Representation Learning by Adaptive Latent Space Sampling. CoRR abs/2004.02757 (2020) - [i35]Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra
, Alessandro Masci, Cristiana Corsi, Coen de Vente
, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020) - [i34]Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI. CoRR abs/2006.04725 (2020) - [i33]Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert:
Realistic Adversarial Data Augmentation for MR Image Segmentation. CoRR abs/2006.13322 (2020) - [i32]Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai:
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR abs/2006.13379 (2020) - [i31]Chengliang Dai, Shuo Wang, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling. CoRR abs/2006.14984 (2020) - [i30]Bram Ruijsink
, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King:
Quality-aware semi-supervised learning for CMR segmentation. CoRR abs/2009.00584 (2020)
2010 – 2019
- 2019
- [j18]Gabriel Balaban
, Brian Halliday
, Wenjia Bai, Bradley Porter, Carlotta Malvuccio, Pablo Lamata
, Christopher A. Rinaldi
, Gernot Plank, Daniel Rueckert
, Sanjay K. Prasad, Martin J. Bishop
:
Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort. PLoS Comput. Biol. 15(10) (2019) - [j17]Giacomo Tarroni
, Ozan Oktay
, Wenjia Bai
, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach
, Antonio de Marvao
, Declan P. O'Regan
, Stuart A. Cook
, Ben Glocker
, Paul M. Matthews
, Daniel Rueckert
:
Learning-Based Quality Control for Cardiac MR Images. IEEE Trans. Medical Imaging 38(5): 1127-1138 (2019) - [j16]Jinming Duan
, Ghalib Bello
, Jo Schlemper
, Wenjia Bai
, Timothy J. W. Dawes
, Carlo Biffi, Antonio de Marvao
, Georgia Doumou, Declan P. O'Regan
, Daniel Rueckert
:
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach. IEEE Trans. Medical Imaging 38(9): 2151-2164 (2019) - [c45]Shuo Wang, Chengliang Dai
, Yuanhan Mo, Elsa D. Angelini
, Yike Guo, Wenjia Bai:
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. BrainLes@MICCAI (2) 2019: 61-72 - [c44]Chengliang Dai
, Yuanhan Mo, Elsa D. Angelini
, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. DART/MIL3ID@MICCAI 2019: 199-206 - [c43]Chen Chen
, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. STACOM@MICCAI 2019: 209-219 - [c42]Chen Chen
, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen
, Wenjia Bai, Daniel Rueckert:
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. MICCAI (2) 2019: 523-531 - [c41]Wenjia Bai, Chen Chen
, Giacomo Tarroni, Jinming Duan
, Florian Guitton
, Steffen E. Petersen
, Yike Guo, Paul M. Matthews
, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. MICCAI (2) 2019: 541-549 - [c40]Jinming Duan
, Jo Schlemper, Chen Qin
, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert:
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. MICCAI (4) 2019: 713-722 - [c39]Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel:
High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL 2019: 380-389 - [i29]Robert Robinson, Vanya V. Valindria, Wenjia Bai, Ozan Oktay, Bernhard Kainz, Hideaki Suzuki, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young Jin Kim, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen
, Chris Page, Paul M. Matthews, Daniel Rueckert, Ben Glocker:
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study. CoRR abs/1901.09351 (2019) - [i28]Carlo Biffi, Juan J. Cerrolaza, Giacomo Tarroni, Wenjia Bai, Ozan Oktay, Loïc Le Folgoc, Konstantinos Kamnitsas, Antonio de Marvao, Georgia Doumou, Jinming Duan, Sanjay K. Prasad, Stuart A. Cook, Declan P. O'Regan, Daniel Rueckert:
Explainable Shape Analysis through Deep Hierarchical Generative Models: Application to Cardiac Remodeling. CoRR abs/1907.00058 (2019) - [i27]Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Steffen E. Petersen
, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert:
Improving the generalizability of convolutional neural network-based segmentation on CMR images. CoRR abs/1907.01268 (2019) - [i26]Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen
, Yike Guo, Paul M. Matthews, Daniel Rueckert:
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. CoRR abs/1907.02757 (2019) - [i25]Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen
, Wenjia Bai, Daniel Rueckert:
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images. CoRR abs/1907.09983 (2019) - [i24]Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert:
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction. CoRR abs/1907.10033 (2019) - [i23]Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation. CoRR abs/1908.07344 (2019) - [i22]Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert:
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. CoRR abs/1908.07623 (2019) - [i21]Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Transfer Learning from Partial Annotations for Whole Brain Segmentation. CoRR abs/1908.10851 (2019) - [i20]Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert:
Deep learning for cardiac image segmentation: A review. CoRR abs/1911.03723 (2019) - [i19]Shuo Wang
, Chengliang Dai, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai:
Automatic Brain Tumour Segmentation and Biophysics-Guided Survival Prediction. CoRR abs/1911.08483 (2019) - 2018
- [j15]Carlo Biffi
, Antonio de Marvao
, Mark I Attard, Timothy J. W. Dawes
, Nicola Whiffin, Wenjia Bai, Wenzhe Shi, Catherine Francis
, Hannah Meyer
, Rachel J. Buchan
, Stuart A. Cook, Daniel Rueckert, Declan P. O'Regan
:
Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. Bioinform. 34(1): 97-103 (2018) - [j14]Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón
, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten
, Myrianthi Hadjicharalambous, Eric Kerfoot
, Christopher Aldo Rinaldi
, Daniel Rueckert, Andrew P. King
:
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. Medical Image Anal. 43: 169-185 (2018) - [j13]Lisa M. Koch
, Martin Rajchl, Wenjia Bai
, Christian F. Baumgartner
, Tong Tong, Jonathan Passerat-Palmbach
, Paul Aljabar, Daniel Rueckert
:
Multi-Atlas Segmentation Using Partially Annotated Data: Methods and Annotation Strategies. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1683-1696 (2018) - [j12]Avan Suinesiaputra
, Pierre Ablin, Xènia Albà, Martino Alessandrini
, Jack Allen
, Wenjia Bai
, Serkan Çimen, Peter Claes
, Brett R. Cowan, Jan D'hooge
, Nicolas Duchateau
, Jan Ehrhardt, Alejandro F. Frangi
, Ali Gooya
, Vicente Grau
, Karim Lekadir
, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz
, Nripesh Parajuli
, Xavier Pennec
,