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ORCIDNicolò Savioli
Person information
- affiliation: odaxai.com
- affiliation (former): Huawei Technologies, Riemann Lab, Munich, Germany
- affiliation (former): Imperial College London, Department of Computing, London, UK
- affiliation (former, PhD): Kings College London, Department of Biomedical Engineering, London, UK
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2020 – today
- 2026
[i14]Nicolò Savioli, Luca Del Tongo:
TopoPult-SSL: Gland-Mask-Free Cross-Device Meibomian Gland Segmentation via Self-Distilled Weak Clinical Priors. CoRR abs/2606.05347 (2026)- [i13]Nicolò Savioli:
Venice-H1: Failure-Aware Query Re-Ranking with Multi-Scale Grid Signatures for Referring Image Segmentation. CoRR abs/2606.22546 (2026) - 2024
- [c7]Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicolò Savioli, Liqiu Meng:
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text. AAAI 2024: 1219-1227 - [i12]Antonio Ruiz, Andrew Melnik, Nicolò Savioli, Dong Wang, Yanfeng Zhang, Helge J. Ritter:
Lane Graph Extraction from Aerial Imagery via Lane Segmentation Refinement with Diffusion Models. CoRR abs/2405.00620 (2024) - 2023
- [i11]Xuyang Chen, Dong Wang, Konrad Schindler, Mingwei Sun, Yongliang Wang, Nicolò Savioli, Liqiu Meng:
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text. CoRR abs/2309.11248 (2023) - 2021
- [c6]Shuo Wang
, Chen Qin, Nicolò 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 - [i10]Shuo Wang, Chen Qin, Nicolò 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) - [i9]Nicolò 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) - 2020
- [j1]Nicolò Savioli, Enrico Grisan, Silvia Visentin, Erich Cosmi, Giovanni Montana, Pablo Lamata:
Real-time diameter of the fetal aorta from ultrasound. Neural Comput. Appl. 32(11): 6735-6744 (2020) - [c5]Weizeng Lu, Xi Jia, Wei Chen, Nicolò Savioli, Antonio de Marvao, Linlin Shen, Declan P. O'Regan, Jinming Duan:
One-stage Multi-task Detector for 3D Cardiac MR Imaging. ICPR 2020: 1949-1955 - [i8]Nicolò Savioli:
One-shot screening of potential peptide ligands on HR1 domain in COVID-19 glycosylated spike (S) protein with deep siamese network. CoRR abs/2004.02136 (2020) - [i7]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, Nicolò Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020)
2010 – 2019
- 2019
- [c4]Nicolò Savioli:
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression. CVPR Workshops 2019: 0 - [i6]Nicolò Savioli:
A Hybrid Approach Between Adversarial Generative Networks and Actor-Critic Policy Gradient for Low Rate High-Resolution Image Compression. CoRR abs/1906.04681 (2019) - [i5]Shihao Jin, Nicolò Savioli, Antonio de Marvao, Timothy J. W. Dawes, Axel Gandy, Daniel Rueckert, Declan P. O'Regan:
Joint analysis of clinical risk factors and 4D cardiac motion for survival prediction using a hybrid deep learning network. CoRR abs/1910.02951 (2019) - 2018
- [c3]Nicolò Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana:
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. ICANN (2) 2018: 148-157 - [c2]Nicolò Savioli, Giovanni Montana, Pablo Lamata:
V-FCNN: Volumetric Fully Convolution Neural Network for Automatic Atrial Segmentation. STACOM@MICCAI 2018: 273-281 - [c1]Nicolò Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana:
Automated Segmentation on the Entire Cardiac Cycle Using a Deep Learning Work - Flow. SNAMS 2018: 153-158 - [i4]Nicolò Savioli, Silvia Visentin, Erich Cosmi, Enrico Grisan, Pablo Lamata, Giovanni Montana:
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound. CoRR abs/1807.04056 (2018) - [i3]Nicolò Savioli, Giovanni Montana, Pablo Lamata:
V-FCNN: Volumetric Fully Convolution Neural Network For Automatic Atrial Segmentation. CoRR abs/1808.01944 (2018) - [i2]Nicolò Savioli, Miguel S. Vieira, Pablo Lamata, Giovanni Montana:
Automated segmentation on the entire cardiac cycle using a deep learning work-flow. CoRR abs/1809.01015 (2018) - [i1]Nicolò Savioli, Miguel Silva Vieira, Pablo Lamata, Giovanni Montana:
A Generative Adversarial Model for Right Ventricle Segmentation. CoRR abs/1810.03969 (2018)
Coauthor Index
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