A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 207 | 2021 |
Phenotypic expression and outcomes in individuals with rare genetic variants of hypertrophic cardiomyopathy A de Marvao, KA McGurk, SL Zheng, M Thanaj, W Bai, J Duan, C Biffi, ... Journal of the American College of Cardiology 78 (11), 1097-1110, 2021 | 52 | 2021 |
Automated segmentation on the entire cardiac cycle using a deep learning work-flow N Savioli, MS Vieira, P Lamata, G Montana 2018 Fifth International Conference on Social Networks Analysis, Management …, 2018 | 25 | 2018 |
V-FCNN: volumetric fully convolution neural network for automatic atrial segmentation N Savioli, G Montana, P Lamata International Workshop on Statistical Atlases and Computational Models of …, 2018 | 20 | 2018 |
Genetic and environmental determinants of diastolic heart function M Thanaj, J Mielke, KA McGurk, W Bai, N Savioli, A de Marvao, HV Meyer, ... Nature cardiovascular research 1 (4), 361-371, 2022 | 16 | 2022 |
Joint motion correction and super resolution for cardiac segmentation via latent optimisation S Wang, C Qin, N Savioli, C Chen, DP O’Regan, S Cook, Y Guo, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 13 | 2021 |
A generative adversarial model for right ventricle segmentation N Savioli, MS Vieira, P Lamata, G Montana arXiv preprint arXiv:1810.03969, 2018 | 13 | 2018 |
One-shot screening of potential peptide ligands on HR1 domain in COVID-19 glycosylated spike (S) protein with deep siamese network N Savioli arXiv preprint arXiv:2004.02136, 2020 | 12 | 2020 |
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression N Savioli The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 3 | 2019 |
Joint semi-supervised 3D super-resolution and segmentation with mixed adversarial Gaussian domain adaptation N Savioli, A de Marvao, W Bai, S Wang, SA Cook, CWL Chin, D Rueckert, ... arXiv preprint arXiv:2107.07975, 2021 | 2 | 2021 |
Outcomes and phenotypic expression of rare variants in hypertrophic cardiomyopathy genes amongst UK Biobank participants A de Marvao, KA McGurk, SL Zheng, M Thanaj, W Bai, J Duan, C Biffi, ... medRxiv, 2021.01. 21.21249470, 2021 | 2 | 2021 |
Real-time diameter of the fetal aorta from ultrasound N Savioli, E Grisan, S Visentin, E Cosmi, G Montana, P Lamata Neural Computing and Applications 32 (11), 6735-6744, 2020 | 2 | 2020 |
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network S Jin, N Savioli, A de Marvao, TJW Dawes, A Gandy, D Rueckert, ... arXiv preprint arXiv:1910.02951, 2019 | 2 | 2019 |
Temporal convolution networks for real-time abdominal fetal aorta analysis with ultrasound N Savioli, S Visentin, E Cosmi, E Grisan, P Lamata, G Montana International Conference on Artificial Neural Networks, 148-157, 2018 | 2 | 2018 |
One-stage Multi-task Detector for 3D Cardiac MR Imaging W Lu, X Jia, W Chen, N Savioli, A de Marvao, L Shen, D O'Regan, J Duan 2020 25th International Conference on Pattern Recognition (ICPR), 1949-1955, 2021 | 1 | 2021 |
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text X Chen, D Wang, K Schindler, M Sun, Y Wang, N Savioli, L Meng Proceedings of the AAAI Conference on Artificial Intelligence 38 (2), 1219-1227, 2024 | | 2024 |
Deep Learning Algorithms for Cardiovascular Image Analysis N Savioli, P Lamata, G Montana King's College London, 2019 | | 2019 |
Tecniche spettroscopiche d'impedenza per la possibile misurazione di sodio e glucosio nel sangue N Savioli | | 2010 |
Parallelization of the algorithm WHAM with NVIDIA CUDA. N Savioli | | |