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Francesca Patella

dblp:279/3853 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0001-5142-0345ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Efficient and distributed learning · 67% Segmentation and scene understanding · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning › federated learning › federated optimization
federated hyperparameter optimization
0.612022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation · ECCV (21) 2022
Machine learning › Efficient and distributed learning
federated learning
0.612022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation · ECCV (21) 2022
Computer vision › Segmentation and scene understanding
medical image segmentation
0.612022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation · ECCV (21) 2022

Methods — techniques the papers use, named apart from their topics

reinforcement learning · 0.6
YearPublicationVenuePosition
2022 Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Dong Yang 0005, Ali Hatamizadeh, An Xu, Ziyue Xu 0001, Wenqi Li 0001, Can Zhao 0001, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger Roth
ECCV (21)13
2021 Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
Dong Yang 0005, Ziyue Xu 0001, Wenqi Li 0001, Andriy Myronenko, Holger Roth, Stephanie A. Harmon, Sheng Xu 0001, Baris Turkbey, Evrim Turkbey, Xiaosong Wang 0001, Wentao Zhu 0001, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An 0002, Bradford J. Wood, Daguang Xu
Medical Image Anal.13