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Nicolò  Savioli, Ph.D.
Nicolò Savioli, Ph.D.
Huawei Technologies, previous Imperial College London & KCL
Verified email at huawei.com
Title
Cited by
Cited by
Year
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
2072021
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
522021
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
252018
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
202018
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
162022
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
132021
A generative adversarial model for right ventricle segmentation
N Savioli, MS Vieira, P Lamata, G Montana
arXiv preprint arXiv:1810.03969, 2018
132018
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
122020
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
32019
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
22021
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
22021
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
22020
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
22019
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
22018
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
12021
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
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Articles 1–19