| Disentangling Human Error from the Ground Truth in Segmentation of Medical Images L Zhang, R Tanno, X Mou-cheng, C Jin, J Jacob, O Ciccarelli, F Barkhof, ... (NeurIPS 2020) 34th Conference on Neural Information Processing Systems, 2020 | 89 | 2020 |
| Semi-supervised assessment of incomplete LV coverage in cardiac MRI using generative adversarial nets L Zhang, A Gooya, AF Frangi Simulation and Synthesis in Medical Imaging: Second International Workshop …, 2017 | 59 | 2017 |
| Quantitative CMR population imaging on 20,000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation R Attar, M Pereañez, A Gooya, X Albà, L Zhang, MH de Vila, AM Lee, ... Medical image analysis 56, 26-42, 2019 | 55 | 2019 |
| Automated quality assessment of cardiac MR images using convolutional neural networks L Zhang, A Gooya, B Dong, R Hua, SE Petersen, P Medrano-Gracia, ... Simulation and Synthesis in Medical Imaging: First International Workshop …, 2016 | 53 | 2016 |
| Automatic assessment of full left ventricular coverage in cardiac cine magnetic resonance imaging with fisher-discriminative 3-D CNN L Zhang, A Gooya, M Pereanez, B Dong, SK Piechnik, S Neubauer, ... IEEE Transactions on Biomedical Engineering 66 (7), 1975-1986, 2018 | 30 | 2018 |
| Recovering from Missing Data in Population Imaging – Cardiac MR Image Imputation via Conditional Generative Adversarial Nets Y Xia, L Zhang, N Ravikumar, R Attara, SK Piechnik, S Neubauer, ... Medical Image Analysis, 2021 | 25 | 2021 |
| Multi-input and dataset-invariant adversarial learning (MDAL) for left and right-ventricular coverage estimation in cardiac MRI L Zhang, M Pereañez, SK Piechnik, S Neubauer, SE Petersen, AF Frangi (MICCAI 2018) International Conference on Medical Image Computing and …, 2018 | 25 | 2018 |
| Learning to Segment When Experts Disagree L Zhang, R Tanno, K Bronik, C Jin, P Nachev, F Barkhof, O Ciccarelli, ... (MICCAI 2020) International Conference on Medical Image Computing and …, 2020 | 20 | 2020 |
| Learning from multiple annotators for medical image segmentation L Zhang, R Tanno, M Xu, Y Huang, K Bronik, C Jin, J Jacob, Y Zheng, ... Pattern Recognition 138, 109400, 2023 | 9 | 2023 |
| High throughput computation of reference ranges of biventricular cardiac function on the UK Biobank population cohort R Attar, M Pereañez, A Gooya, X Albà, L Zhang, SK Piechnik, S Neubauer, ... Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 9 | 2019 |
| Adaptive kernel-bandwidth object tracking based on Mean-shift algorithm L Zhang, D Zhang, Y Su, F Long 2013 Fourth International Conference on Intelligent Control and Information …, 2013 | 9 | 2013 |
| Head pose estimation based on feature extraction, fuzzy C-means and neural network for driver assistance system L Zhang, D Zhang, Y Su, C Wang 11th IEEE International Conference on Control & Automation (ICCA), 677-682, 2014 | 5 | 2014 |
| Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets L Zhang, M Pereañez, C Bowles, S Piechnik, S Neubauer, S Petersen, ... (MICCAI 2019 Best Paper Finalist) International Conference on Medical Image …, 2019 | 4 | 2019 |
| Surplus torque suppression research based on the improved wavelet neural network C Wang, R Liu, Y Hou, Q Gao, R Hou, L Zhang 11th IEEE International Conference on Control & Automation (ICCA), 398-403, 2014 | 3 | 2014 |
| Comparing clinical and radiological effectiveness of disease modifying treatments in the real-world M Moccia, S Al-Araji, L Zhang, O Abdel-Mannan, A Aojula, A Bianchi, ... Multiple Sclerosis Journal 28 (3_ SUPPL), 10-11, 2022 | 2 | 2022 |
| Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks L Zhang, M Pereañez, C Bowles, SK Piechnik, S Neubauer, SE Petersen, ... (MICCAI 2019) International Conference on Medical Image Computing and …, 2019 | 2 | 2019 |
| Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging L Zhang, M Pereanez, S Piechnik, S Neubauer, S Petersen, A Frangi Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | 2 | 2019 |
| Learning to restore multiple image degradations simultaneously L Zhang, K Bronik, BW Papież Pattern Recognition 136, 109250, 2022 | 1 | 2022 |
| Multi-task Cooperative Learning via Searching for Flat Minima F Wu, L Zhang, Y Sun, Y Mo, T Nichols, BW Papież International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Assessing outcomes of disease modifying therapies in late onset relapsing remitting MS patients in a real-world cohort S Al-Araji, M Moccia, A Jha, L Zhang, A Eshaghi, B Kanber, A Bianchi, ... MULTIPLE SCLEROSIS JOURNAL 29, 51-52, 2023 | | 2023 |
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan TuringVerified email at manchester.ac.uk
