Nicolò Savioli
Affiliations:- odaxai.com
- Huawei Technologies, Riemann Lab, Munich, Germany (former)
- Imperial College London, Department of Computing, London, UK (former)
- Kings College London, Department of Biomedical Engineering, London, UK (former, PhD)
According to our database1,
Nicolò Savioli authored at least 14 papers
between 2018 and 2024.
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Bibliography
2024
Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models.
CoRR, 2024
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2021
Joint Semi-supervised 3D Super-Resolution and Segmentation with Mixed Adversarial Gaussian Domain Adaptation.
CoRR, 2021
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020
One-shot screening of potential peptide ligands on HR1 domain in COVID-19 glycosylated spike (S) protein with deep siamese network.
CoRR, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network.
CoRR, 2019
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow.
Proceedings of the Fifth International Conference on Social Networks Analysis, 2018
V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018